EVOLUTION-MANAGER

Edit File: profiling.html

<!DOCTYPE html>

<head>

<title>Profiling Performance</title>

// See if we're running in a viewer pane. If not, we're in a web browser.
  var viewerMode = window.HTMLWidgets.viewerMode =
      /\bviewer_pane=1\b/.test(window.location);

// See if we're running in Shiny mode. If not, it's a static document.
  // Note that static widgets can appear in both Shiny and static modes, but
  // obviously, Shiny widgets can only appear in Shiny apps/documents.
  var shinyMode = window.HTMLWidgets.shinyMode =
      typeof(window.Shiny) !== "undefined" && !!window.Shiny.outputBindings;

// We can't count on jQuery being available, so we implement our own
  // version if necessary.
  function querySelectorAll(scope, selector) {
    if (typeof(jQuery) !== "undefined" && scope instanceof jQuery) {
      return scope.find(selector);
    }
    if (scope.querySelectorAll) {
      return scope.querySelectorAll(selector);
    }
  }

function asArray(value) {
    if (value === null)
      return [];
    if ($.isArray(value))
      return value;
    return [value];
  }

// Implement jQuery's extend
  function extend(target /*, ... */) {
    if (arguments.length == 1) {
      return target;
    }
    for (var i = 1; i < arguments.length; i++) {
      var source = arguments[i];
      for (var prop in source) {
        if (source.hasOwnProperty(prop)) {
          target[prop] = source[prop];
        }
      }
    }
    return target;
  }

// IE8 doesn't support Array.forEach.
  function forEach(values, callback, thisArg) {
    if (values.forEach) {
      values.forEach(callback, thisArg);
    } else {
      for (var i = 0; i < values.length; i++) {
        callback.call(thisArg, values[i], i, values);
      }
    }
  }

// Replaces the specified method with the return value of funcSource.
  //
  // Note that funcSource should not BE the new method, it should be a function
  // that RETURNS the new method. funcSource receives a single argument that is
  // the overridden method, it can be called from the new method. The overridden
  // method can be called like a regular function, it has the target permanently
  // bound to it so "this" will work correctly.
  function overrideMethod(target, methodName, funcSource) {
    var superFunc = target[methodName] || function() {};
    var superFuncBound = function() {
      return superFunc.apply(target, arguments);
    };
    target[methodName] = funcSource(superFuncBound);
  }

// Add a method to delegator that, when invoked, calls
  // delegatee.methodName. If there is no such method on
  // the delegatee, but there was one on delegator before
  // delegateMethod was called, then the original version
  // is invoked instead.
  // For example:
  //
  // var a = {
  //   method1: function() { console.log('a1'); }
  //   method2: function() { console.log('a2'); }
  // };
  // var b = {
  //   method1: function() { console.log('b1'); }
  // };
  // delegateMethod(a, b, "method1");
  // delegateMethod(a, b, "method2");
  // a.method1();
  // a.method2();
  //
  // The output would be "b1", "a2".
  function delegateMethod(delegator, delegatee, methodName) {
    var inherited = delegator[methodName];
    delegator[methodName] = function() {
      var target = delegatee;
      var method = delegatee[methodName];

// The method doesn't exist on the delegatee. Instead,
      // call the method on the delegator, if it exists.
      if (!method) {
        target = delegator;
        method = inherited;
      }

if (method) {
        return method.apply(target, arguments);
      }
    };
  }

// Implement a vague facsimilie of jQuery's data method
  function elementData(el, name, value) {
    if (arguments.length == 2) {
      return el["htmlwidget_data_" + name];
    } else if (arguments.length == 3) {
      el["htmlwidget_data_" + name] = value;
      return el;
    } else {
      throw new Error("Wrong number of arguments for elementData: " +
        arguments.length);
    }
  }

// http://stackoverflow.com/questions/3446170/escape-string-for-use-in-javascript-regex
  function escapeRegExp(str) {
    return str.replace(/[\-\[\]\/\{\}\*\+\?\.\\\^\$\|]/g, "\\$&");
  }

function hasClass(el, className) {
    var re = new RegExp("\\b" + escapeRegExp(className) + "\\b");
    return re.test(el.className);
  }

// elements - array (or array-like object) of HTML elements
  // className - class name to test for
  // include - if true, only return elements with given className;
  //   if false, only return elements *without* given className
  function filterByClass(elements, className, include) {
    var results = [];
    for (var i = 0; i < elements.length; i++) {
      if (hasClass(elements[i], className) == include)
        results.push(elements[i]);
    }
    return results;
  }

function on(obj, eventName, func) {
    if (obj.addEventListener) {
      obj.addEventListener(eventName, func, false);
    } else if (obj.attachEvent) {
      obj.attachEvent(eventName, func);
    }
  }

function off(obj, eventName, func) {
    if (obj.removeEventListener)
      obj.removeEventListener(eventName, func, false);
    else if (obj.detachEvent) {
      obj.detachEvent(eventName, func);
    }
  }

// Translate array of values to top/right/bottom/left, as usual with
  // the "padding" CSS property
  // https://developer.mozilla.org/en-US/docs/Web/CSS/padding
  function unpackPadding(value) {
    if (typeof(value) === "number")
      value = [value];
    if (value.length === 1) {
      return {top: value[0], right: value[0], bottom: value[0], left: value[0]};
    }
    if (value.length === 2) {
      return {top: value[0], right: value[1], bottom: value[0], left: value[1]};
    }
    if (value.length === 3) {
      return {top: value[0], right: value[1], bottom: value[2], left: value[1]};
    }
    if (value.length === 4) {
      return {top: value[0], right: value[1], bottom: value[2], left: value[3]};
    }
  }

// Convert an unpacked padding object to a CSS value
  function paddingToCss(paddingObj) {
    return paddingObj.top + "px " + paddingObj.right + "px " + paddingObj.bottom + "px " + paddingObj.left + "px";
  }

// Makes a number suitable for CSS
  function px(x) {
    if (typeof(x) === "number")
      return x + "px";
    else
      return x;
  }

// Retrieves runtime widget sizing information for an element.
  // The return value is either null, or an object with fill, padding,
  // defaultWidth, defaultHeight fields.
  function sizingPolicy(el) {
    var sizingEl = document.querySelector("script[data-for='" + el.id + "'][type='application/htmlwidget-sizing']");
    if (!sizingEl)
      return null;
    var sp = JSON.parse(sizingEl.textContent || sizingEl.text || "{}");
    if (viewerMode) {
      return sp.viewer;
    } else {
      return sp.browser;
    }
  }

// @param tasks Array of strings (or falsy value, in which case no-op).
  //   Each element must be a valid JavaScript expression that yields a
  //   function. Or, can be an array of objects with "code" and "data"
  //   properties; in this case, the "code" property should be a string
  //   of JS that's an expr that yields a function, and "data" should be
  //   an object that will be added as an additional argument when that
  //   function is called.
  // @param target The object that will be "this" for each function
  //   execution.
  // @param args Array of arguments to be passed to the functions. (The
  //   same arguments will be passed to all functions.)
  function evalAndRun(tasks, target, args) {
    if (tasks) {
      forEach(tasks, function(task) {
        var theseArgs = args;
        if (typeof(task) === "object") {
          theseArgs = theseArgs.concat([task.data]);
          task = task.code;
        }
        var taskFunc = eval("(" + task + ")");
        if (typeof(taskFunc) !== "function") {
          throw new Error("Task must be a function! Source:\n" + task);
        }
        taskFunc.apply(target, theseArgs);
      });
    }
  }

function initSizing(el) {
    var sizing = sizingPolicy(el);
    if (!sizing)
      return;

var cel = document.getElementById("htmlwidget_container");
    if (!cel)
      return;

if (typeof(sizing.padding) !== "undefined") {
      document.body.style.margin = "0";
      document.body.style.padding = paddingToCss(unpackPadding(sizing.padding));
    }

if (sizing.fill) {
      document.body.style.overflow = "hidden";
      document.body.style.width = "100%";
      document.body.style.height = "100%";
      document.documentElement.style.width = "100%";
      document.documentElement.style.height = "100%";
      if (cel) {
        cel.style.position = "absolute";
        var pad = unpackPadding(sizing.padding);
        cel.style.top = pad.top + "px";
        cel.style.right = pad.right + "px";
        cel.style.bottom = pad.bottom + "px";
        cel.style.left = pad.left + "px";
        el.style.width = "100%";
        el.style.height = "100%";
      }

return {
        getWidth: function() { return cel.offsetWidth; },
        getHeight: function() { return cel.offsetHeight; }
      };

} else {
      el.style.width = px(sizing.width);
      el.style.height = px(sizing.height);

return {
        getWidth: function() { return el.offsetWidth; },
        getHeight: function() { return el.offsetHeight; }
      };
    }
  }

// Default implementations for methods
  var defaults = {
    find: function(scope) {
      return querySelectorAll(scope, "." + this.name);
    },
    renderError: function(el, err) {
      var $el = $(el);

this.clearError(el);

// Add all these error classes, as Shiny does
      var errClass = "shiny-output-error";
      if (err.type !== null) {
        // use the classes of the error condition as CSS class names
        errClass = errClass + " " + $.map(asArray(err.type), function(type) {
          return errClass + "-" + type;
        }).join(" ");
      }
      errClass = errClass + " htmlwidgets-error";

// Is el inline or block? If inline or inline-block, just display:none it
      // and add an inline error.
      var display = $el.css("display");
      $el.data("restore-display-mode", display);

if (display === "inline" || display === "inline-block") {
        $el.hide();
        if (err.message !== "") {
          var errorSpan = $("<span>").addClass(errClass);
          errorSpan.text(err.message);
          $el.after(errorSpan);
        }
      } else if (display === "block") {
        // If block, add an error just after the el, set visibility:none on the
        // el, and position the error to be on top of the el.
        // Mark it with a unique ID and CSS class so we can remove it later.
        $el.css("visibility", "hidden");
        if (err.message !== "") {
          var errorDiv = $("<div>").addClass(errClass).css("position", "absolute")
            .css("top", el.offsetTop)
            .css("left", el.offsetLeft)
            // setting width can push out the page size, forcing otherwise
            // unnecessary scrollbars to appear and making it impossible for
            // the element to shrink; so use max-width instead
            .css("maxWidth", el.offsetWidth)
            .css("height", el.offsetHeight);
          errorDiv.text(err.message);
          $el.after(errorDiv);

// Really dumb way to keep the size/position of the error in sync with
          // the parent element as the window is resized or whatever.
          var intId = setInterval(function() {
            if (!errorDiv[0].parentElement) {
              clearInterval(intId);
              return;
            }
            errorDiv
              .css("top", el.offsetTop)
              .css("left", el.offsetLeft)
              .css("maxWidth", el.offsetWidth)
              .css("height", el.offsetHeight);
          }, 500);
        }
      }
    },
    clearError: function(el) {
      var $el = $(el);
      var display = $el.data("restore-display-mode");
      $el.data("restore-display-mode", null);

if (display === "inline" || display === "inline-block") {
        if (display)
          $el.css("display", display);
        $(el.nextSibling).filter(".htmlwidgets-error").remove();
      } else if (display === "block"){
        $el.css("visibility", "inherit");
        $(el.nextSibling).filter(".htmlwidgets-error").remove();
      }
    },
    sizing: {}
  };

// Called by widget bindings to register a new type of widget. The definition
  // object can contain the following properties:
  // - name (required) - A string indicating the binding name, which will be
  //   used by default as the CSS classname to look for.
  // - initialize (optional) - A function(el) that will be called once per
  //   widget element; if a value is returned, it will be passed as the third
  //   value to renderValue.
  // - renderValue (required) - A function(el, data, initValue) that will be
  //   called with data. Static contexts will cause this to be called once per
  //   element; Shiny apps will cause this to be called multiple times per
  //   element, as the data changes.
  window.HTMLWidgets.widget = function(definition) {
    if (!definition.name) {
      throw new Error("Widget must have a name");
    }
    if (!definition.type) {
      throw new Error("Widget must have a type");
    }
    // Currently we only support output widgets
    if (definition.type !== "output") {
      throw new Error("Unrecognized widget type '" + definition.type + "'");
    }
    // TODO: Verify that .name is a valid CSS classname

// Support new-style instance-bound definitions. Old-style class-bound
    // definitions have one widget "object" per widget per type/class of
    // widget; the renderValue and resize methods on such widget objects
    // take el and instance arguments, because the widget object can't
    // store them. New-style instance-bound definitions have one widget
    // object per widget instance; the definition that's passed in doesn't
    // provide renderValue or resize methods at all, just the single method
    //   factory(el, width, height)
    // which returns an object that has renderValue(x) and resize(w, h).
    // This enables a far more natural programming style for the widget
    // author, who can store per-instance state using either OO-style
    // instance fields or functional-style closure variables (I guess this
    // is in contrast to what can only be called C-style pseudo-OO which is
    // what we required before).
    if (definition.factory) {
      definition = createLegacyDefinitionAdapter(definition);
    }

if (!definition.renderValue) {
      throw new Error("Widget must have a renderValue function");
    }

// For static rendering (non-Shiny), use a simple widget registration
    // scheme. We also use this scheme for Shiny apps/documents that also
    // contain static widgets.
    window.HTMLWidgets.widgets = window.HTMLWidgets.widgets || [];
    // Merge defaults into the definition; don't mutate the original definition.
    var staticBinding = extend({}, defaults, definition);
    overrideMethod(staticBinding, "find", function(superfunc) {
      return function(scope) {
        var results = superfunc(scope);
        // Filter out Shiny outputs, we only want the static kind
        return filterByClass(results, "html-widget-output", false);
      };
    });
    window.HTMLWidgets.widgets.push(staticBinding);

if (shinyMode) {
      // Shiny is running. Register the definition with an output binding.
      // The definition itself will not be the output binding, instead
      // we will make an output binding object that delegates to the
      // definition. This is because we foolishly used the same method
      // name (renderValue) for htmlwidgets definition and Shiny bindings
      // but they actually have quite different semantics (the Shiny
      // bindings receive data that includes lots of metadata that it
      // strips off before calling htmlwidgets renderValue). We can't
      // just ignore the difference because in some widgets it's helpful
      // to call this.renderValue() from inside of resize(), and if
      // we're not delegating, then that call will go to the Shiny
      // version instead of the htmlwidgets version.

// Merge defaults with definition, without mutating either.
      var bindingDef = extend({}, defaults, definition);

// This object will be our actual Shiny binding.
      var shinyBinding = new Shiny.OutputBinding();

// With a few exceptions, we'll want to simply use the bindingDef's
      // version of methods if they are available, otherwise fall back to
      // Shiny's defaults. NOTE: If Shiny's output bindings gain additional
      // methods in the future, and we want them to be overrideable by
      // HTMLWidget binding definitions, then we'll need to add them to this
      // list.
      delegateMethod(shinyBinding, bindingDef, "getId");
      delegateMethod(shinyBinding, bindingDef, "onValueChange");
      delegateMethod(shinyBinding, bindingDef, "onValueError");
      delegateMethod(shinyBinding, bindingDef, "renderError");
      delegateMethod(shinyBinding, bindingDef, "clearError");
      delegateMethod(shinyBinding, bindingDef, "showProgress");

// The find, renderValue, and resize are handled differently, because we
      // want to actually decorate the behavior of the bindingDef methods.

shinyBinding.find = function(scope) {
        var results = bindingDef.find(scope);

// Only return elements that are Shiny outputs, not static ones
        var dynamicResults = results.filter(".html-widget-output");

// It's possible that whatever caused Shiny to think there might be
        // new dynamic outputs, also caused there to be new static outputs.
        // Since there might be lots of different htmlwidgets bindings, we
        // schedule execution for later--no need to staticRender multiple
        // times.
        if (results.length !== dynamicResults.length)
          scheduleStaticRender();

return dynamicResults;
      };

// Wrap renderValue to handle initialization, which unfortunately isn't
      // supported natively by Shiny at the time of this writing.

shinyBinding.renderValue = function(el, data) {
        Shiny.renderDependencies(data.deps);
        // Resolve strings marked as javascript literals to objects
        if (!(data.evals instanceof Array)) data.evals = [data.evals];
        for (var i = 0; data.evals && i < data.evals.length; i++) {
          window.HTMLWidgets.evaluateStringMember(data.x, data.evals[i]);
        }
        if (!bindingDef.renderOnNullValue) {
          if (data.x === null) {
            el.style.visibility = "hidden";
            return;
          } else {
            el.style.visibility = "inherit";
          }
        }
        if (!elementData(el, "initialized")) {
          initSizing(el);

elementData(el, "initialized", true);
          if (bindingDef.initialize) {
            var result = bindingDef.initialize(el, el.offsetWidth,
              el.offsetHeight);
            elementData(el, "init_result", result);
          }
        }
        bindingDef.renderValue(el, data.x, elementData(el, "init_result"));
        evalAndRun(data.jsHooks.render, elementData(el, "init_result"), [el, data.x]);
      };

// Only override resize if bindingDef implements it
      if (bindingDef.resize) {
        shinyBinding.resize = function(el, width, height) {
          // Shiny can call resize before initialize/renderValue have been
          // called, which doesn't make sense for widgets.
          if (elementData(el, "initialized")) {
            bindingDef.resize(el, width, height, elementData(el, "init_result"));
          }
        };
      }

Shiny.outputBindings.register(shinyBinding, bindingDef.name);
    }
  };

// Render static widgets after the document finishes loading
  // Statically render all elements that are of this widget's class
  window.HTMLWidgets.staticRender = function() {
    var bindings = window.HTMLWidgets.widgets || [];
    forEach(bindings, function(binding) {
      var matches = binding.find(document.documentElement);
      forEach(matches, function(el) {
        var sizeObj = initSizing(el, binding);

if (hasClass(el, "html-widget-static-bound"))
          return;
        el.className = el.className + " html-widget-static-bound";

var initResult;
        if (binding.initialize) {
          initResult = binding.initialize(el,
            sizeObj ? sizeObj.getWidth() : el.offsetWidth,
            sizeObj ? sizeObj.getHeight() : el.offsetHeight
          );
          elementData(el, "init_result", initResult);
        }

if (binding.resize) {
          var lastSize = {
            w: sizeObj ? sizeObj.getWidth() : el.offsetWidth,
            h: sizeObj ? sizeObj.getHeight() : el.offsetHeight
          };
          var resizeHandler = function(e) {
            var size = {
              w: sizeObj ? sizeObj.getWidth() : el.offsetWidth,
              h: sizeObj ? sizeObj.getHeight() : el.offsetHeight
            };
            if (size.w === 0 && size.h === 0)
              return;
            if (size.w === lastSize.w && size.h === lastSize.h)
              return;
            lastSize = size;
            binding.resize(el, size.w, size.h, initResult);
          };

on(window, "resize", resizeHandler);

// This is needed for cases where we're running in a Shiny
          // app, but the widget itself is not a Shiny output, but
          // rather a simple static widget. One example of this is
          // an rmarkdown document that has runtime:shiny and widget
          // that isn't in a render function. Shiny only knows to
          // call resize handlers for Shiny outputs, not for static
          // widgets, so we do it ourselves.
          if (window.jQuery) {
            window.jQuery(document).on(
              "shown.htmlwidgets shown.bs.tab.htmlwidgets shown.bs.collapse.htmlwidgets",
              resizeHandler
            );
            window.jQuery(document).on(
              "hidden.htmlwidgets hidden.bs.tab.htmlwidgets hidden.bs.collapse.htmlwidgets",
              resizeHandler
            );
          }

// This is needed for the specific case of ioslides, which
          // flips slides between display:none and display:block.
          // Ideally we would not have to have ioslide-specific code
          // here, but rather have ioslides raise a generic event,
          // but the rmarkdown package just went to CRAN so the
          // window to getting that fixed may be long.
          if (window.addEventListener) {
            // It's OK to limit this to window.addEventListener
            // browsers because ioslides itself only supports
            // such browsers.
            on(document, "slideenter", resizeHandler);
            on(document, "slideleave", resizeHandler);
          }
        }

var scriptData = document.querySelector("script[data-for='" + el.id + "'][type='application/json']");
        if (scriptData) {
          var data = JSON.parse(scriptData.textContent || scriptData.text);
          // Resolve strings marked as javascript literals to objects
          if (!(data.evals instanceof Array)) data.evals = [data.evals];
          for (var k = 0; data.evals && k < data.evals.length; k++) {
            window.HTMLWidgets.evaluateStringMember(data.x, data.evals[k]);
          }
          binding.renderValue(el, data.x, initResult);
          evalAndRun(data.jsHooks.render, initResult, [el, data.x]);
        }
      });
    });

invokePostRenderHandlers();
  }

// Wait until after the document has loaded to render the widgets.
  if (document.addEventListener) {
    document.addEventListener("DOMContentLoaded", function() {
      document.removeEventListener("DOMContentLoaded", arguments.callee, false);
      window.HTMLWidgets.staticRender();
    }, false);
  } else if (document.attachEvent) {
    document.attachEvent("onreadystatechange", function() {
      if (document.readyState === "complete") {
        document.detachEvent("onreadystatechange", arguments.callee);
        window.HTMLWidgets.staticRender();
      }
    });
  }

window.HTMLWidgets.getAttachmentUrl = function(depname, key) {
    // If no key, default to the first item
    if (typeof(key) === "undefined")
      key = 1;

var link = document.getElementById(depname + "-" + key + "-attachment");
    if (!link) {
      throw new Error("Attachment " + depname + "/" + key + " not found in document");
    }
    return link.getAttribute("href");
  };

// Retrieve the HTMLWidget instance (i.e. the return value of an
  // HTMLWidget binding's initialize() or factory() function)
  // associated with an element, or null if none.
  window.HTMLWidgets.getInstance = function(el) {
    return elementData(el, "init_result");
  };

// Finds the first element in the scope that matches the selector,
  // and returns the HTMLWidget instance (i.e. the return value of
  // an HTMLWidget binding's initialize() or factory() function)
  // associated with that element, if any. If no element matches the
  // selector, or the first matching element has no HTMLWidget
  // instance associated with it, then null is returned.
  //
  // The scope argument is optional, and defaults to window.document.
  window.HTMLWidgets.find = function(scope, selector) {
    if (arguments.length == 1) {
      selector = scope;
      scope = document;
    }

var el = scope.querySelector(selector);
    if (el === null) {
      return null;
    } else {
      return window.HTMLWidgets.getInstance(el);
    }
  };

// Finds all elements in the scope that match the selector, and
  // returns the HTMLWidget instances (i.e. the return values of
  // an HTMLWidget binding's initialize() or factory() function)
  // associated with the elements, in an array. If elements that
  // match the selector don't have an associated HTMLWidget
  // instance, the returned array will contain nulls.
  //
  // The scope argument is optional, and defaults to window.document.
  window.HTMLWidgets.findAll = function(scope, selector) {
    if (arguments.length == 1) {
      selector = scope;
      scope = document;
    }

var nodes = scope.querySelectorAll(selector);
    var results = [];
    for (var i = 0; i < nodes.length; i++) {
      results.push(window.HTMLWidgets.getInstance(nodes[i]));
    }
    return results;
  };

// Register the given callback function to be invoked after the
  // next time static widgets are rendered.
  window.HTMLWidgets.addPostRenderHandler = function(callback) {
    postRenderHandlers.push(callback);
  };

// Takes a new-style instance-bound definition, and returns an
  // old-style class-bound definition. This saves us from having
  // to rewrite all the logic in this file to accomodate both
  // types of definitions.
  function createLegacyDefinitionAdapter(defn) {
    var result = {
      name: defn.name,
      type: defn.type,
      initialize: function(el, width, height) {
        return defn.factory(el, width, height);
      },
      renderValue: function(el, x, instance) {
        return instance.renderValue(x);
      },
      resize: function(el, width, height, instance) {
        return instance.resize(width, height);
      }
    };

if (defn.find)
      result.find = defn.find;
    if (defn.renderError)
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a,b=n.timers,c=0;for(hb=n.now();c<b.length;c++)a=b[c],a()||b[c]!==a||b.splice(c--,1);b.length||n.fx.stop(),hb=void 0},n.fx.timer=function(a){n.timers.push(a),a()?n.fx.start():n.timers.pop()},n.fx.interval=13,n.fx.start=function(){ib||(ib=a.setInterval(n.fx.tick,n.fx.interval))},n.fx.stop=function(){a.clearInterval(ib),ib=null},n.fx.speeds={slow:600,fast:200,_default:400},n.fn.delay=function(b,c){return b=n.fx?n.fx.speeds[b]||b:b,c=c||"fx",this.queue(c,function(c,d){var e=a.setTimeout(c,b);d.stop=function(){a.clearTimeout(e)}})},function(){var a,b=d.createElement("input"),c=d.createElement("div"),e=d.createElement("select"),f=e.appendChild(d.createElement("option"));c=d.createElement("div"),c.setAttribute("className","t"),c.innerHTML="  <link/><table></table><a href='/a'>a</a><input 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<style type="text/css">.profvis {
position: relative;
}
.profvis * {

-webkit-box-sizing: content-box;
-moz-box-sizing: content-box;
box-sizing: content-box;
}
.profvis-footer .info-label {
cursor: default;
}
.profvis-panel1 {
left: 0px;
top: 23px;
position: absolute;
}
.profvis-panel1-vertical {
bottom: 0px;
width: 500px;
margin-bottom: 20px;
}
.profvis-panel1-horizontal {
height: 378px;
right: 0px;
}
.profvis-panel2 {
position: absolute;
right: 0px;
bottom: 0px;
}
.profvis-panel2-vertical {
top: 23px;
left: 508px;
margin-bottom: 20px;
}
.profvis-panel2-horizontal {
left: 0px;
top: 408px;
margin-bottom: 20px;
}
.profvis-splitbar {
position: absolute;
background-color: rgb(224, 224, 224);
border-color: #ddd;
border-style: solid;
background-repeat: no-repeat;
background-position: center;
}
.profvis-splitbar-vertical {
cursor: col-resize;
left: 500px;
width: 8px;
top: 23px;
bottom: 0px;
border-width: 0 1px;
background-image: url('data:image/png;base64,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');
}
.profvis-splitbar-horizontal {
cursor: row-resize;
top: 400px;
height: 8px;
left: 0px;
right: 0px;
border-width: 0px 0;
background-image: url('data:image/png;base64,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');
}
.profvis-status-bar {
position: absolute;
padding: 0px 0px;
top: 0;
left: 0;
right: 0;
height: 22px;
line-height: 18px;
border-bottom: 1px solid rgb(196, 201, 204);
background-color: rgb(248, 249, 248);
color: #444;
font-family: "Lucida Sans", "DejaVu Sans", "Lucida Grande", "Segoe UI", Verdana, Helvetica, sans-serif;
font-size: 11px;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
overflow: hidden;
}
.profvis-footer {
position: absolute;
padding: 0px 0px;
bottom: 0px;
left: 0;
right: 0;
height: 19px;
line-height: 18px;
border-top: 1px solid rgb(196, 201, 204);
background-color: rgb(248, 249, 248);
color: #444;
font-family: "Lucida Sans", "DejaVu Sans", "Lucida Grande", "Segoe UI", Verdana, Helvetica, sans-serif;
font-size: 11px;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
overflow: hidden;
}
.profvis-status-bar .info-block {
display: inline-block;
vertical-align: top;
width: 140px;
padding: 2px 11px 2px 11px;
}
.profvis-footer .info-block {
display: inline-block;
vertical-align: top;
padding: 1px 11px 1px 11px;
}
.profvis-footer .info-block-right {
display: inline-block;
vertical-align: top;
padding: 1px 11px 1px 11px;
float: right;
}
.profvis-status-bar .result-block {
width: auto;
cursor: pointer;
}
.profvis-status-bar .result-block-active {
width: auto;
background: rgb(227, 229, 230);
}
.profvis-status-bar .spacing-block {
display: inline-block;
width: 25px;
}
.profvis-status-bar .separator-block {
display: inline-block;
width: 1px;
text-align: center;
}
.profvis-status-bar .separator-block .separator-image {
width: 2px;
height: 26px;
margin-top: -2px;
}
.profvis-status-bar .options-button {
float: right;
color: #444;
text-decoration: none;
cursor: pointer;
padding: 2px 11px 2px 11px;
}
.profvis-options-panel {
float: left;
position: absolute;
right: 0;
top: 21px;
padding: 3px 6px;
border: 1px solid #999;
background-color: #fff;
font-family: "Lucida Sans", "DejaVu Sans", "Lucida Grande", "Segoe UI", Verdana, Helvetica, sans-serif;
font-size: 11px;
line-height: 170%;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
cursor: pointer;
}
.profvis-code {
position: absolute;
top: 0px;
left: 0;
bottom: 0;
right: 0;
overflow-y: auto;
border: 0px solid #ddd;
}
.profvis-flamegraph {
position: absolute;
right: 0;
top: 0;
bottom: 0;
left: 0;
overflow: hidden;
border: 0px solid #ddd;
background: rgb(249, 249, 250);
}
table.profvis-table {
border-collapse: collapse;
font-family: "Lucida Sans", "DejaVu Sans", "Lucida Grande", "Segoe UI", Verdana, Helvetica, sans-serif;
font-size: 11px;
width: 100%;
text-align: left;
cursor: default;
}
table.profvis-table th {
background-color: rgb(249, 249, 250);
width: 14%;
}
table.profvis-table th.spacing {
width: 20px;
}
table.profvis-table th.filename {
font-family: monospace;
padding-left: 10px;
width: auto;
}
table.profvis-table th.percent {
text-align: center;
}
table.profvis-table tr {
border-top: 1px solid transparent;
border-bottom: 1px solid transparent;
vertical-align: top;
}

table.profvis-table tr.locked > td {
border-top: 1px solid #444;
border-bottom: 1px solid #444;
}
table.profvis-table tr > td {
padding-top: 0;
padding-bottom: 0;
}
table.profvis-table tr.active {
background-color: #fdb;
}
table.profvis-table .linenum {
color: #aaa;
padding: 0 15px;
font-family: monospace;
width: 25px;
}

table.profvis-table [data-pseudo-content]::before {
content: attr(data-pseudo-content);
}
table.profvis-table .code {
white-space: pre-wrap;
margin: 0;
min-height: 1.25em;
line-height: 1.25;
width: auto;
font-family: monospace;
background: transparent;
}
table.profvis-table .time, table.profvis-table .percent {
padding: 0 5px;
text-align: right;
min-width: 2em;
max-width: 2em;
overflow: hidden;
padding-right: 10px;
}
table.profvis-table .memory {
padding-right: 5px;
}
table.profvis-table th.time {
text-align: center;
}
table.profvis-table .memory {
padding: 0 5px;
text-align: right;
min-width: 2em;
max-width: 4em;
overflow: hidden;
padding-right: 10px;
}
table.profvis-table .memory-right {
text-align: left;
}
table.profvis-table th.memory {
text-align: center;
}
table.profvis-table .timebar-cell {
padding-left: 0;
border-left: 1px solid #444;
min-width: 3em;
width: 3em;
}
table.profvis-table .timebar-cell > .timebar {
background-color: #5A5A5A;
border-radius: 0px 2px 2px 0px;
line-height: 15px;
}
table.profvis-table .membar-left-cell {
padding-left: 0;
padding-right: 0;
border-left: 0px solid black;
min-width: 0.5em;
width: 0.5em;
}
table.profvis-table .membar-left-cell > .membar {
background-color: #A7A7A7;
float: right;
border-radius: 2px 0px 0px 2px;
line-height: 15px;
}
table.profvis-table .membar-right-cell {
padding-left: 0;
border-left: 1px solid black;
min-width: 1em;
width: 1em;
}
table.profvis-table .membar-right-cell > .membar {
background-color: #5A5A5A;
border-radius: 0px 2px 2px 0px;
line-height: 15px;
}
.profvis-flamegraph .background {
fill: rgb(249, 249, 250);
}
.profvis-flamegraph .cell .rect {
stroke: #000;
stroke-width: 0.25px;
fill: #fff;
}
.profvis-flamegraph .cell.active .rect {
stroke-width: 0.75px;
fill: #ddd;
}
.profvis-flamegraph .cell.highlighted .rect {
fill: #ffc;
}
.profvis-flamegraph .cell.highlighted.active .rect {
fill: #fdb;
}
.profvis-flamegraph .cell.output .rect {
fill: #eef;
}
.profvis-flamegraph .cell.gc .rect {
fill: #ccc;
}
.profvis-flamegraph .cell.stacktrace .rect {
fill: #eee;
}
.profvis-flamegraph .cell.stacktrace .profvis-label {
fill: #666;
}
.profvis-flamegraph .cell.locked {
font-weight: bold;
}
.profvis-flamegraph .cell.locked .rect {
stroke-width: 2px;
}
.profvis-flamegraph .cell .profvis-label {
font-family: monospace;
font-size: 11px;
cursor: default;
}
.profvis-flamegraph .axis text {
font: 10px sans-serif;
}
.profvis-flamegraph .axis path,
.profvis-flamegraph .axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.profvis-flamegraph .profvis-tooltip rect {
fill: rgb(249, 249, 250);
stroke: #000;
opacity: 0.75;
stroke-opacity: 0.75;
stroke-width: 0.5;
}
.profvis-flamegraph .profvis-tooltip text {
text-anchor: middle;
font-family: monospace;
font-size: 11px;
}
.profvis-infobox {
position: absolute;
left: 8px;
top: 8px;
opacity: 0.8;
border-radius: 3px;
color: #f8f8f8;
background-color: #333;
padding: 5px 10px;
font-family: "Lucida Sans", "DejaVu Sans", "Lucida Grande", "Segoe UI", Verdana, Helvetica, sans-serif;
font-size: 11px;
line-height: 100%;
pointer-events: none;
min-width: 280px;
}
.profvis-infobox table {
border-collapse: separate;
border-spacing: 2px;
}
.profvis-infobox table td {
padding: 1px;
}
.profvis-infobox .infobox-title {
font-weight: bold;
}
.profvis-message {
width: 100%;
height: 100%;
display: -ms-flexbox;
display: -webkit-flex;
display: flex;
-ms-flex-pack: center;
-webkit-justify-content: center;
justify-content: center;
-ms-flex-align: center;
-webkit-align-items: center;
align-items: center;
font-family: "Lucida Sans", "DejaVu Sans", "Lucida Grande", "Segoe UI", Verdana, Helvetica, sans-serif;
font-size: 11px;
}
.profvis-message div {
color: #444;
height: 25%;
}
.profvis-treetable {
top: 0px;
bottom: 0px;
left: 0px;
right: 0px;
position: absolute;
margin-top: 23px;
margin-bottom: 21px;
margin-right: 0px;
overflow: hidden;
font: 10px sans-serif;
color: #161616;
font-family: "Lucida Sans", "DejaVu Sans", "Lucida Grande", "Segoe UI", Verdana, Helvetica, sans-serif;
font-size: 11px;
overflow-y: auto;
}
.profvis-treetable .results {
width: 100%;
table-layout: fixed;
}
.profvis-treetable th {
font-weight: normal;
height: 18px;
background-color: #F8F9F8;
border-bottom: solid 1px #E4E4E4;
border-right: solid 1px #E4E4E4;
padding-left: 3px;
padding-right: 3px;
}
.profvis-treetable td {
height: 18px;
border-bottom: solid 1px #E4E4E4;
border-right: solid 1px #E4E4E4;
padding-left: 3px;
padding-right: 3px;
overflow: hidden;
text-overflow: ellipsis;
}
.profvis-treetable .action {
width: 18px;
}
.profvis-treetable .memory {
width: 100px;
text-align: right;
}
.profvis-treetable th {
cursor: default;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
overflow: hidden;
}
.profvis-treetable th.memory {
text-align: center;
}
.profvis-treetable .time {
width: 100px;
text-align: right;
}
.profvis-treetable th.time {
text-align: center;
}
.profvis-treetable .count {
text-align: right;
}
.profvis-treetable th.count {
text-align: center;
}
.profvis-treetable th.code-label {
text-align: left;
padding-left: 5px;
}
.profvis-treetable td.label-pointer {
cursor: pointer;
}
.profvis-treetable .label-text {
display: inline-block;
-webkit-user-select: none;
-khtml-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.profvis-treetable .path {
text-align: left;
}
.profvis-treetable .treetable-expand > div {
display: inline-block;
width: 15px;
}
.profvis-treetable .treetable-expand > div > div{
width: 0px;
height: 0px;
margin-left: 3px;
margin-right: 6px;
border-top: 4px solid transparent;
border-left: 6px solid #161616;
border-bottom: 4px solid transparent;
}
.profvis-treetable .treetable-collapse > div {
display: inline-block;
width: 15px;
}
.profvis-treetable .treetable-collapse > div > div {
width: 0px;
height: 0px;
margin-left: 3px;
margin-right: 6px;
border-right: 4px solid transparent;
border-top: 6px solid #161616;
border-left: 4px solid transparent;
display: inline-block;
}
.profvis-treetable .time-info {
padding: 0px;
padding-right: 2px;
text-align: right;
}
.profvis-treetable .timebar {
width: 0px;
height: 14px;
background-color: #5A5A5A;
float: left;
border-radius: 2px 2px 2px 2px;
padding-top: 0px;
margin-top: 1px;
}
.profvis-treetable .timecell {
padding-top: 2px;
padding-right: 3px;
}
.profvis-treetable .memory-info {
padding-left: 0px;
padding-right: 2px;
text-align: right;
}
.profvis-treetable .memory-info-right {
padding-left: 2px;
padding-right: 0px;
text-align: left;
}
.profvis-treetable .memory-leftbar-wrapper {
float: left;
height: 14px;
width: 5px;
}
.profvis-treetable .memory-leftbar {
width: 2px;
height: 14px;
background-color: #A7A7A7;
float: right;
border-radius: 1px 0px 0px 1px;
}
.profvis-treetable .memory-rightbar {
width: 2px;
float: left;
height: 14px;
background-color: #5A5A5A;
border-radius: 0px 1px 1px 0px;
}
.profvis-treetable .memory-cell {
}
.profvis-treetable .memory-bar-container {
margin-right: 3px;
}
.profvis-treetable .time-bar-container {
margin-right: 3px;
}
</style>
<script>/*jshint
  undef:true,
  browser:true,
  devel: true,
  jquery:true,
  strict:false,
  curly:false,
  indent:2
*/
/*global profvis:true, d3, hljs */

profvis = (function() {
  var profvis = {};

profvis.render = function(el, message) {

function generateStatusBarButton(id, caption, active) {
      var spacerImage = 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAIAAAAUCAYAAACnOeyiAAAAXklEQVR42mNgAIL///8zMYSGhjIDGYIMIiIMvECGMwMDN4M4kFEDUqIIZKwDMdSBjAsghj6Q8QPEMAAy/lOBoQekv4AYKkDGfgZeXl4RICOLQUtLiw3IUAJJMQIZ7AC2tU2tXJxOYgAAAABJRU5ErkJggg==';

var buttonHtml =
        '<div id="' + id  + '" class="info-block ' +
        (active ? 'result-block-active' : 'result-block') +
        '"><span class="info-label">' + caption + '</span></div>' +
        '<div class="separator-block"><img class="separator-image" src="' + spacerImage + '"></div>';

return buttonHtml;
    }

function generateStatusBar(el, onToogle) {
      var $el = $(el);

el.innerHTML =
        generateStatusBarButton('flameGraphButton', 'Flame Graph', true) +
        generateStatusBarButton('treetableButton', 'Data', false) +
        '<span role="button" class="options-button">Options &#x25BE;</span>';

$el.find("span.options-button").on("click", function(e) {
        e.preventDefault();
        e.stopPropagation();

vis.optionsPanel.toggleVisibility();
      });

var setStatusBarButtons = function(e) {
        $(".info-block").removeClass("result-block-active");
        $(".info-block").addClass("result-block");
        e.addClass("result-block-active");
      };

$el.find("#flameGraphButton").on("click", function() {
        setStatusBarButtons($(this));
        onToogle("flamegraph");
      });

$el.find("#treetableButton").on("click", function() {
        setStatusBarButtons($(this));
        onToogle("treetable");
      });

return {
        el: el
      };
    }

function generateFooter(el, onToogle) {
      var $el = $(el);

el.innerHTML =
        '<div class="info-block"><span class="info-label">Sample Interval: ' +
          vis.interval + 'ms</span></div>' +
        '<div class="info-block-right">' +
        // '<span class="info-label" title="Peak memory allocation">' + (Math.round(vis.totalMem * 100) / 100) + 'MB</span>' +
        // ' / ' +
        '<span class="info-label" title="Total time">' + vis.totalTime + 'ms</span>' +
        '</div>';

return {
        el: el
      };
    }

function generateOptionsPanel(el, onOptionsChange) {
      var $el = $(el);

el.innerHTML =
        '<div role="button" class="split-horizontal">' +
          '<span class="options-checkbox" data-checked="1">' +
          (vis.splitDir === "h" ? '&#x2612;' : '&#x2610;') +
          '</span> Split horizontally' +
        '</div>' +
        '<div role="button" class="hide-internal">' +
          '<span class="options-checkbox" data-checked="1">&#x2612;</span> Hide internal function calls' +
        '</div>' +
        '<div role="button" class="hide-zero-row">' +
          '<span class="options-checkbox" data-checked="0">&#x2610;</span> Hide lines of code with zero time' +
        '</div>' +
        '<div role="button" class="hide-memory">' +
          '<span class="options-checkbox" data-checked="0">&#x2610;</span> Hide memory results' +
        '</div>';

// Toggle the appearance of a checkbox and return the new checked state.
      function toggleCheckbox($checkbox) {
        // Use attr() instead of data(), because the latter tries to coerce to
        // numbers, which complicates our comparisons.
        var checked = $checkbox.attr("data-checked");

if (checked === "0") {
          $checkbox.attr("data-checked", "1");
          $checkbox.html("&#x2612;");
          return true;

} else {
          $checkbox.attr("data-checked", "0");
          $checkbox.html("&#x2610;");
          return false;
        }
      }

$el.find(".split-horizontal")
        .on("click", function() {
          var checked = toggleCheckbox($(this).find(".options-checkbox"));
          onOptionsChange("split", checked);
        });

$el.find(".hide-internal")
        .on("click", function() {
          var checked = toggleCheckbox($(this).find(".options-checkbox"));
          onOptionsChange("internals", checked);
        });

$el.find(".hide-memory")
        .on("click", function() {
          var checked = toggleCheckbox($(this).find(".options-checkbox"));
          onOptionsChange("memory", checked);
        });

// Make the "hide internal" option available or unavailable to users
      function enableHideInternal() {
        $el.find(".hide-internal").css("display", "");
      }
      function disableHideInternal() {
        $el.find(".hide-internal").css("display", "none");
      }
      // By default, start with it unavailable; it's only relevant for Shiny
      // apps.
      disableHideInternal();

$el.find(".hide-zero-row")
        .on("click", function() {
          var checked = toggleCheckbox($(this).find(".options-checkbox"));

if (checked) {
            vis.codeTable.hideZeroTimeRows();
          } else {
            vis.codeTable.showZeroTimeRows();
          }
        });

el.style.visibility = "hidden";
      function toggleVisibility(offset) {
        if (el.style.visibility === "visible") {
          el.style.visibility = "hidden";
        } else {
          el.style.visibility = "visible";
          $(document).on("click", hideOnClickOutside);
        }
      }

// Hide the panel when a click happens outside. This handler also removes
      // itself after it fires.
      function hideOnClickOutside(e) {
        var $el = $(el);
        if (!$el.is(e.target) && $el.has(e.target).length === 0) {
          el.style.visibility = "hidden";
          // Unregister this event listener
          $(document).off("click", hideOnClickOutside);
        }
      }

return {
        el: el,
        toggleVisibility: toggleVisibility,
        enableHideInternal: enableHideInternal,
        disableHideInternal: disableHideInternal
      };
    }

function notifySourceFileMessage(d, details) {
      if (window.parent.postMessage) {
        window.parent.postMessage({
          source: "profvis",
          message: "sourcefile",
          file: d.filename,
          normpath: d.normpath ? d.normpath : getNormPath(vis.files, d.filename),
          line: d.linenum,
          details: details
        }, window.location.origin);
      }
    }

function roundOneDecimalNum(number, decimals) {
      return Math.round(number * 10) / 10;
    }

function roundOneDecimal(number, decimals) {
      if (!number) return 0;
      return roundOneDecimalNum(number).toFixed(1);
    }

// Generate the code table ----------------------------------------
    function generateCodeTable(el) {
      var useMemory = false;
      var content = d3.select(el);

if (vis.fileLineStats.length === 0) {
        content.append("div")
          .attr("class", "profvis-message")
          .append("div")
            .text("(Sources not available)");
      }

// One table for each file
      var tables = content.selectAll("table")
          .data(vis.fileLineStats)
        .enter()
          .append("table")
          .attr("class", "profvis-table");

// Table headers
      var headerRows = tables.append("tr");
      headerRows.append("th")
        .attr("colspan", "2")
        .attr("class", "filename")
        .text(function(d) { return d.filename; });

var percentTooltip = "Percentage of tracked execution time";
      var percentMemTooltip = "Percentage of peak memory deallocation and allocation";

headerRows.append("th")
        .attr("class", "table-memory memory")
        .attr("colspan", "4")
        .text("Memory");

headerRows.append("th")
        .attr("class", "time")
        .attr("colspan", "2")
        .text("Time");

headerRows.append("th")
        .attr("class", "spacing")
        .attr("data-pseudo-content", "\u00a0");

// Insert each line of code
      var rows = tables.selectAll("tr.code-row")
          .data(function(d) { return d.lineData; })
        .enter()
          .append("tr")
          .attr("class", "code-row");

// Use pseudo-content and CSS content rule to make text unselectable and
      // uncopyable. See https://danoc.me/blog/css-prevent-copy/
      rows.append("td")
        .attr("class", "linenum")
        .attr("data-pseudo-content", function(d) { return d.linenum; });

rows.append("td")
        .attr("class", "code r")
        .text(function(d) { return d.content; })
        .each(function() { hljs.highlightBlock(this); });

rows.append("td")
        .attr("class", "table-memory memory")
        .attr("title", "Memory deallocation (MB)")
        .attr("data-pseudo-content",
              function(d) { return roundOneDecimalNum(d.sumMemDealloc) !== 0 ? roundOneDecimal(d.sumMemDealloc) : ""; });

rows.append("td")
        .attr("class", "table-memory membar-left-cell")
        .append("div")
          .attr("class", "membar")
          .attr("title", percentMemTooltip)
          .style("width", function(d) {
            var p = Math.min(Math.abs(Math.min(Math.round(d.propMemDealloc * 100), 0)), 100);

// 8% is the minimal size that looks visually appealing while drawing an almost empty bar
            p = roundOneDecimalNum(d.sumMemDealloc) !== 0 ? Math.max(p, 8) : 0;
            return p + "%";
          })
          // Add the equivalent of &nbsp; to be added with CSS content
          .attr("data-pseudo-content", "\u00a0");

rows.append("td")
        .attr("class", "table-memory membar-right-cell")
        .append("div")
          .attr("class", "membar")
          .attr("title", percentMemTooltip)
          .style("width", function(d) {
            var p = Math.min(Math.max(Math.round(d.propMemAlloc * 100), 0), 100);

// 4% is the minimal size that looks visually appealing while drawing an almost empty bar
            p = roundOneDecimalNum(d.sumMemAlloc) !== 0 ? Math.max(p, 4) : 0;
            return p + "%";
          })
          // Add the equivalent of &nbsp; to be added with CSS content
          .attr("data-pseudo-content", "\u00a0");

rows.append("td")
        .attr("class", "table-memory memory memory-right")
        .attr("title", "Memory allocation (MB)")
        .attr("data-pseudo-content",
              function(d) { return roundOneDecimalNum(d.sumMemAlloc) !== 0 ? roundOneDecimal(d.sumMemAlloc) : ""; });

rows.append("td")
        .attr("class", "time")
        .attr("title", "Total time (ms)")
        .attr("data-pseudo-content",
              function(d) { return Math.round(d.sumTime * 100) !== 0 ? (Math.round(d.sumTime * 100) / 100) : ""; });

rows.append("td")
        .attr("class", "timebar-cell")
        .append("div")
          .attr("class", "timebar")
          .attr("title", percentTooltip)
          .style("width", function(d) {
            return Math.round(d.propTime * 100) + "%";
          })
          // Add the equivalent of &nbsp; to be added with CSS content
          .attr("data-pseudo-content", "\u00a0");

rows.append("td")
        .attr("class", "spacing")
        .attr("data-pseudo-content", "\u00a0");

rows
        .on("click", function(d) {
          // Info box is only relevant when mousing over flamegraph
          vis.infoBox.hide();
          highlighter.click(d);
          notifySourceFileMessage(d, "select");
        })
        .on("mouseover", function(d) {
          if (highlighter.isLocked()) return;

// Info box is only relevant when mousing over flamegraph
          vis.infoBox.hide();
          highlighter.hover(d);
        })
        .on("mouseout", function(d) {
          if (highlighter.isLocked()) return;

highlighter.hover(null);
        })
        .on("dblclick", function(d) {
          notifySourceFileMessage(d, "open");
        });

function hideZeroTimeRows() {
        rows
          .filter(function(d) { return d.sumTime === 0; })
          .style("display", "none");
      }

function showZeroTimeRows() {
        rows
          .filter(function(d) { return d.sumTime === 0; })
          .style("display", "");
      }

function addLockHighlight(d) {
        var target = d;
        rows
          .filter(function(d) { return d === target; } )
          .classed({ locked: true });
      }

function clearLockHighlight() {
        rows
          .filter(".locked")
          .classed({ locked: false });
      }

function addActiveHighlight(d) {
        // If we have filename and linenum, search for cells that match, and
        // set them as "active".
        var target = d;
        if (target.filename && target.linenum) {
          var tr = rows
            .filter(function(d) {
              return d.linenum === target.linenum &&
                     d.filename === target.filename;
            })
            .classed({ active: true });

tr.node().scrollIntoViewIfNeeded();
        }
      }

function clearActiveHighlight() {
        rows
          .filter(".active")
          .classed({ active: false });
      }

function enableScroll() {
        // TODO: implement this
      }

function disableScroll() {
      }

function useMemoryResults() {
        d3.selectAll(".table-memory").style("display", vis.hideMemory ? "none" : "");
      }

return {
        el: el,
        hideZeroTimeRows: hideZeroTimeRows,
        showZeroTimeRows: showZeroTimeRows,
        addLockHighlight: addLockHighlight,
        clearLockHighlight: clearLockHighlight,
        addActiveHighlight: addActiveHighlight,
        clearActiveHighlight: clearActiveHighlight,
        enableScroll: enableScroll,
        disableScroll: disableScroll,
        useMemoryResults: useMemoryResults
      };
    }

var highlighter = (function() {
      // D3 data objects for the currently locked and active items
      var lockItem = null;
      var activeItem = null;

function isLocked() {
        return lockItem !== null;
      }

function currentLock() {
        return lockItem;
      }

function currentActive() {
        return activeItem;
      }

// This is called when a flamegraph cell or a line of code is clicked on.
      // Clicks also should trigger hover events.
      function click(d) {
        // If d is null (background is clicked), or if locked and this click
        // is on the currently locked selection, just unlock and return.
        if (d === null || (lockItem && d === lockItem)) {
          lockItem = null;
          vis.flameGraph.clearLockHighlight();
          vis.codeTable.clearLockHighlight();
          return;
        }

// If nothing currently locked, or if locked and this click is on
        // something other than the currently locked selection, then lock the
        // current selection.
        lockItem = d;

vis.flameGraph.clearLockHighlight();
        vis.codeTable.clearLockHighlight();
        hover(null);

vis.flameGraph.addLockHighlight(d);
        vis.codeTable.addLockHighlight(d);
        hover(d);
      }

function hover(d) {
        activeItem = d;

if (activeItem) {
          vis.flameGraph.addActiveHighlight(activeItem);
          vis.codeTable.addActiveHighlight(activeItem);
          return;
        }

vis.flameGraph.clearActiveHighlight();
        vis.codeTable.clearActiveHighlight();
      }

return {
        isLocked: isLocked,
        currentLock: currentLock,
        currentActive: currentActive,

click: click,
        hover: hover
      };
    })();

// Generate the flame graph -----------------------------------------------
    function generateFlameGraph(el) {
      el.innerHTML = "";

var stackHeight = 15;   // Height of each layer on the stack, in pixels
      var zoomMargin = 0.02;  // Extra margin on sides when zooming to fit

// Dimensions -----------------------------------------------------------

// Margin inside the svg where the plotting occurs
      var dims = {
        margin: { top: 0, right: 0, left: 0, bottom: 30 }
      };
      dims.width = el.clientWidth - dims.margin.left - dims.margin.right;
      dims.height = el.clientHeight - dims.margin.top - dims.margin.bottom;

// Scales ---------------------------------------------------------------
      var scales = {
        x: d3.scale.linear()
            .domain(domains.x)
            .range([0, dims.width]),

y: d3.scale.linear()
            .domain(domains.y)
            .range([dims.height, dims.height - (domains.y[1] - domains.y[0]) * stackHeight]),

// This will be a function that, given a data point, returns the depth.
        // This function can change; sometimes it returns the original depth,
        // and sometimes it returns the collapsed depth. This isn't exactly a
        // scale function, but it's close enough for our purposes.
        getDepth: null
      };

useCollapsedDepth();

// SVG container objects ------------------------------------------------
      var svg = d3.select(el).append('svg');

var clipRect = svg.append("clipPath")
          .attr("id", "clip-" + vis.el.id)
        .append("rect");

var container = svg.append('g')
        .attr("transform", "translate(" + dims.margin.left + "," + dims.margin.top + ")")
        .attr("clip-path", "url(" + urlNoHash() + "#clip-" + vis.el.id + ")");

// Add a background rect so we have something to grab for zooming/panning
      var backgroundRect = container.append("rect")
        .attr("class", "background");

// Axes ------------------------------------------------------------
      var xAxis = d3.svg.axis()
        .scale(scales.x)
        .orient("bottom");

svg.append("g")
        .attr("class", "x axis")
        .call(xAxis);

// Container sizing -----------------------------------------------------
      // Update dimensions of various container elements, based on the overall
      // dimensions of the containing div.
      function updateContainerSize() {
        dims.width = el.clientWidth - dims.margin.left - dims.margin.right;
        dims.height = el.clientHeight - dims.margin.top - dims.margin.bottom;

svg
          .attr('width', dims.width + dims.margin.left + dims.margin.right)
          .attr('height', dims.height + dims.margin.top + dims.margin.bottom);

clipRect
          .attr("x", dims.margin.left)
          .attr("y", dims.margin.top)
          .attr("width", dims.width)
          .attr("height", dims.height);

backgroundRect
          .attr("width", dims.width)
          .attr("height", dims.height);

svg.select(".x.axis")
          .attr("transform", "translate(" + dims.margin.left + "," + dims.height + ")");
      }

// Redrawing ------------------------------------------------------------

// Redrawing is a little complicated. For performance reasons, the
      // flamegraph cells that are offscreen aren't rendered; they're removed
      // from the D3 selection of cells. However, when transitions are
      // involved, it may be necssary to add objects in their correct
      // off-screen starting locations before the transition, and then do the
      // transition. Similarly, it may be necssary to transition objects to
      // their correct off-screen ending positions.
      //
      // In order to handle this, whenever there's a transition, we need to
      // have the scales for before the transition, and after. When a function
      // invokes a transition, it will generally do the following: (1) save the
      // previous scales, (2) modify the current scales, (3) call a redraw
      // function. The redraw functions are customized for different types of
      // transitions, and they will use the saved previous scales to position
      // objects correctly for the transition. When there's no transition, the
      // previous scales aren't needed, and the redrawImmediate() function
      // should be used.

// Cache cells for faster access (avoid a d3.select())
      var cells;

// For a data element, return identifying key
      function dataKey(d) {
        return d.depth + "-" + d.startTime + "-" + d.endTime;
      }

// For transitions with animation, we need to have a copy of the previous
      // scales in addition to the current ones.
      var prevScales = {};
      function savePrevScales() {
        prevScales = {
          x:        scales.x.copy(),
          y:        scales.y.copy(),
          getDepth: scales.getDepth
        };
      }
      savePrevScales();

// Returns a D3 selection of the cells that are within the plotting
      // region, using a set of scales.
      function selectActiveCells(scales) {
        var xScale = scales.x;
        var yScale = scales.y;
        var depth = scales.getDepth;
        var width = dims.width;
        var height = dims.height;

var data = vis.prof.filter(function(d) {
          var depthVal = depth(d);
          return !(xScale(d.endTime)    < 0      ||
                   xScale(d.startTime)  > width  ||
                   depthVal           === null   ||
                   yScale(depthVal - 1) < 0      ||
                   yScale(depthVal)     > height);
        });

cells = container.selectAll("g.cell").data(data, dataKey);

return cells;
      }

// Given an enter selection, add the rect and text objects, but don't
      // position them. Returns a selection of the new <g> elements.
      // This should usually be called with addItems(sel.enter()) instead
      // of sel.enter().call(addItems), because the latter returns the original
      // enter selection, not the selection of <g> elements, and can't be
      // used for chaining more function calls on the <g> selection.
      function addItems(enterSelection) {
        var cells = enterSelection.append("g")
          .attr("class", "cell")
          .classed("highlighted", function(d) { return d.filename !== null; })
          .call(addMouseEventHandlers);

// Add CSS classes for highlighting cells with labels that match particular
        // regex patterns.
        var highlightPatterns = d3.entries(message.highlight);
        highlightPatterns.map(function(item) {
          var cssClass = item.key;
          var regexp = new RegExp(item.value);

cells.classed(cssClass, function(d) {
            return d.label.search(regexp) !== -1;
          });
        });

cells.append("rect")
          .attr("class", "rect");

cells.append("text")
          .attr("class", "profvis-label")
          .text(function(d) { return d.label; });

return cells;
      }

// Given a selection, position the rects and labels, using a set of
      // scales.
      function positionItems(cells, scales) {
        var xScale = scales.x;
        var yScale = scales.y;
        var depth = scales.getDepth;

cells.select("rect")
          .attr("width", function(d) {
            return xScale(d.endTime) - xScale(d.startTime);
          })
          .attr("height", yScale(0) - yScale(1))
          .attr("x", function(d) { return xScale(d.startTime); })
          .attr("y", function(d) { return yScale(depth(d)); });

cells.select("text")
          .attr("x", function(d) {
            // To place the labels, check if there's enough space to fit the
            // label plus padding in the rect. (We already know the label fits
            // without padding if we got here.)
            // * If there's not enough space, simply center the label in the
            //   rect.
            // * If there is enough space, keep the label within the rect, with
            //   padding. Try to left-align, keeping the label within the
            //   viewing area if possible.

// Padding on left and right
            var pad = 2;

var textWidth = getLabelWidth(this, d.label.length);
            var rectWidth = xScale(d.endTime) - xScale(d.startTime);

if (textWidth + pad*2 > rectWidth) {
              return xScale(d.startTime) + (rectWidth - textWidth) / 2;
            } else {
              return Math.min(
                Math.max(0, xScale(d.startTime)) + pad,
                xScale(d.endTime) - textWidth - pad
              );
            }
          })
          .attr("y", function(d) { return yScale(depth(d) - 0.8); });

return cells;
      }

// Redraw without a transition (regular panning and zooming)
      function redrawImmediate() {
        cells = selectActiveCells(scales);

cells.exit().remove();
        addItems(cells.enter())
          .call(addLockHighlightSelection, highlighter.currentLock())
          .call(addActiveHighlightSelection, highlighter.currentActive());
        cells.call(positionItems, scales);
        cells.select('text')
          .call(updateLabelVisibility);
        svg.select(".x.axis").call(xAxis);
      }

// Redraw for double-click zooming, where there's a transition
      function redrawZoom(duration) {
        // Figure out if we're zooming in or out. This will determine when we
        // recalculate the label visibility: before or after the transition.
        var prevExtent = prevScales.x.domain()[1] - prevScales.x.domain()[0];
        var curExtent = scales.x.domain()[1] - scales.x.domain()[0];
        var zoomIn = curExtent < prevExtent;

cells = selectActiveCells(scales);

// Phase 1
        // Add the enter items, highlight them, and position them using the
        // previous scales
        addItems(cells.enter())
          .call(addLockHighlightSelection, highlighter.currentLock())
          .call(addActiveHighlightSelection, highlighter.currentActive())
          .call(positionItems, prevScales);

// If zooming out, update label visibility. This will hide some labels
        // now, before the transition, ensuring that they will never be larger
        // than the box.
        if (!zoomIn) {
          cells.select('text')
            .call(updateLabelVisibility);
        }

// Phase 2
        // Position the update (and enter) items using the new scales
        cells
          .transition().duration(duration)
            .call(positionItems, scales);

// Position the exit items using the new scales
        cells.exit()
          .transition().duration(duration)
            .call(positionItems, scales);

// Update x axis
        svg.select(".x.axis")
          .transition().duration(duration)
            .call(xAxis);

// Phase 3
        // If zooming in, update label visibility. This will hide some labels
        // now, after the transition, ensuring that they will never be larger
        // than the box.
        if (zoomIn) {
          cells.select('text')
            .transition().delay(duration)
            .call(updateLabelVisibility);
        }

// Remove the exit items
        cells.exit()
          .transition().delay(duration)
            .remove();
      }

// Redraw when internal functions are hidden
      function redrawCollapse(exitDuration, updateDuration) {
        cells = selectActiveCells(scales);

// There are two subsets of the exit items:
        //   1. Those that exit because depth is null. These should fade out.
        //   2. Those that exit because they move off screen. These should wait
        //      for subset 1 to fade out, then move with a transition.
        var fadeOutCells = cells.exit()
          .filter(function(d) { return scales.getDepth(d) === null; });
        var moveOutCells = cells.exit()
          .filter(function(d) { return scales.getDepth(d) !== null; });

cells.select('text')
          .call(updateLabelVisibility);

// Phase 2
        // Fade out the items that have a null depth
        fadeOutCells
          .transition().duration(exitDuration)
            .style("opacity", 0);

// Phase 3
        // Position the update (and enter) items using the new scales
        cells
          .transition().delay(exitDuration).duration(updateDuration)
            .call(positionItems, scales);

// Position the exit items that move out, using the new scales
        moveOutCells
          .transition().delay(exitDuration).duration(updateDuration)
            .call(positionItems, scales);

// Phase 4
        // Remove all the exit items
        cells.exit()
          .transition().delay(exitDuration + updateDuration)
          .remove();
      }

// Redraw when internal functions are un-hidden
      function redrawUncollapse(updateDuration, enterDuration) {
        cells = selectActiveCells(scales);

var enterCells = addItems(cells.enter());
        // There are two subsets of the enter items:
        //   1. Those that enter because they move on screen (but the previous
        //      depth was not null). These should move with a transition.
        //   2. Those that enter because the previous depth was null. These
        //      should wait for subset 1 to move, then fade in.
        var moveInCells = enterCells
          .filter(function(d) { return prevScales.getDepth(d) !== null; });
        var fadeInCells = enterCells
          .filter(function(d) { return prevScales.getDepth(d) === null; });

// Phase 1
        // Highlight and position the move-in items with the old scales
        moveInCells
          .call(addLockHighlightSelection, highlighter.currentLock())
          .call(addActiveHighlightSelection, highlighter.currentActive())
          .call(positionItems, prevScales);

cells.select('text')
          .call(updateLabelVisibility);

// Phase 2
        // Position the move-in, update, and exit items with a transition
        moveInCells
          .transition().duration(updateDuration)
            .call(positionItems, scales);
        cells
          .transition().duration(updateDuration)
            .call(positionItems, scales);
        cells.exit()
          .transition().duration(updateDuration)
            .call(positionItems, scales);

// Phase 3
        // Highlight and position the fade-in items, then fade in
        fadeInCells
            .call(addLockHighlightSelection, highlighter.currentLock())
            .call(addActiveHighlightSelection, highlighter.currentActive())
            .call(positionItems, scales)
            .style("opacity", 0)
          .transition().delay(updateDuration).duration(enterDuration)
            .style("opacity", 1);

// Phase 4
        // Remove the exit items
        cells.exit()
          .transition().delay(updateDuration + enterDuration)
            .remove();
      }

// Calculate whether to display label in each cell ----------------------

// Finding the dimensions of SVG elements is expensive. We'll reduce the
      // calls getBoundingClientRect() by caching the dimensions.

// Cache the width of labels. This is a lookup table which, given the
      // number of characters, gives the number of pixels. The label width
      // never changes, so we can keep it outside of updateLabelVisibility().
      var labelWidthTable = {};
      function getLabelWidth(el, nchar) {
        // Add entry if it doesn't already exist
        if (labelWidthTable[nchar] === undefined) {
          // If the text isn't displayed, then we can't get its width. Make
          // sure it's visible, get the width, and then restore original
          // display state.
          var oldDisplay = el.style.display;
          el.style.display = "inline";
          labelWidthTable[nchar] = el.getBoundingClientRect().width;
          el.style.display = oldDisplay;
        }
        return labelWidthTable[nchar];
      }

// Show labels that fit in the corresponding rectangle, and hide others.
      function updateLabelVisibility(labels) {
        // Cache the width of rects. This is a lookup table which, given the
        // timespan (width in data), gives the number of pixels. The width of
        // rects changes with the x scale, so we have to rebuild the table each
        // time the scale changes.
        var rectWidthTable = {};
        var x0 = scales.x(0);
        function getRectWidth(time) {
          // Add entry if it doesn't already exist
          if (rectWidthTable[time] === undefined) {
            rectWidthTable[time] = scales.x(time) - x0;
          }
          return rectWidthTable[time];
        }

// Now calculate text and rect width for each cell.
        labels.style("display", function(d) {
          var labelWidth = getLabelWidth(this, d.label.length);
          var boxWidth = getRectWidth(d.endTime - d.startTime);

return (labelWidth <= boxWidth) ? "" : "none";
        });

return labels;
      }

function onResize() {
        updateContainerSize();

scales.x.range([0, dims.width]);
        zoom.x(scales.x);

// Preserve distance from bottom, instead of from top (which is the
        // default behavior).
        scales.y.range([
          dims.height,
          dims.height - (domains.y[1] - domains.y[0]) * stackHeight
        ]);
        redrawImmediate();
      }

// Attach mouse event handlers ------------------------------------
      var dragging = false;

function addMouseEventHandlers(cells) {
        cells
          .on("mouseup", function(d) {
            if (dragging) return;

// If it wasn't a drag, treat it as a click
            vis.infoBox.show(d);
            highlighter.click(d);
            notifySourceFileMessage(d, "select");
          })
          .on("mouseover", function(d) {
            if (dragging) return;

// If no label currently shown, display a tooltip
            var label = this.querySelector(".profvis-label");
            if (label.style.display === "none") {
              var box = this.getBBox();
              showTooltip(
                d.label,
                box.x + box.width / 2,
                box.y - box.height
              );
            }

if (!highlighter.isLocked()) {
              vis.infoBox.show(d);
              highlighter.hover(d);
            }
          })
          .on("mouseout", function(d) {
            if (dragging) return;

hideTooltip();

if (!highlighter.isLocked()) {
              vis.infoBox.hide();
              highlighter.hover(null);
            }
          })
          .on("dblclick.zoomcell", function(d) {
            // When a cell is double-clicked, zoom x to that cell's width.
            savePrevScales();

scales.x.domain(expandRange([d.startTime, d.endTime], zoomMargin));
            zoom.x(scales.x);

redrawZoom(250);

notifySourceFileMessage(d, "open");
          });

return cells;
      }

// Tooltip --------------------------------------------------------
      function showTooltip(label, x, y) {
        var tooltip = container.append("g").attr("class", "profvis-tooltip");
        var tooltipRect = tooltip.append("rect");
        var tooltipLabel = tooltip.append("text")
          .text(label)
          .attr("x", x)
          .attr("y", y + stackHeight * 0.2); // Shift down slightly for baseline

// Add box around label
        var labelBox = tooltipLabel.node().getBBox();
        var rectWidth = labelBox.width + 10;
        var rectHeight = labelBox.height + 4;
        tooltipRect
          .attr("width", rectWidth)
          .attr("height", rectHeight)
          .attr("x", x - rectWidth / 2)
          .attr("y", y - rectHeight / 2)
          .attr("rx", 4)    // Rounded corners -- can't set this in CSS
          .attr("ry", 4);
      }

function hideTooltip() {
        container.select("g.profvis-tooltip").remove();
      }

// Highlighting ---------------------------------------------------------

function addLockHighlight(d) {
        addLockHighlightSelection(cells, d);
      }

function clearLockHighlight() {
        cells
          .filter(".locked")
          .classed({ locked: false });
      }

function addActiveHighlight(d) {
        if (!d) return;
        addActiveHighlightSelection(cells, d);
      }

function clearActiveHighlight() {
        cells
          .filter(".active")
          .classed({ active: false });
      }

// These are versions of addLockHighlight and addActiveHighlight which
      // are only internally visible. It must be passed a selection of cells to
      // perform the highlighting on. This can be more efficient because it can
      // operate on just an enter selection instead of all cells.
      function addLockHighlightSelection(selection, d) {
        if (!d) return;

var target = d;
        selection
          .filter(function(d) { return d === target; } )
          .classed({ locked: true })
          .call(moveToFront);
      }

function addActiveHighlightSelection(selection, d) {
        if (!d) return;

} else if (target.label) {
          // Don't highlight blocks for these labels
          var exclusions = ["<Anonymous>", "FUN"];
          if (exclusions.some(function(x) { return target.label === x; })) {
            return;
          }

// If we only have the label, search for cells that match, but make sure
          // to not select ones that have a filename and linenum.
          selection
            .filter(function(d) {
              return d.label === target.label &&
                     d.filename === null &&
                     d.linenum === null;
            })
            .classed({ active: true });
        }
      }

// Move a D3 selection to front. If this is called on a selection, that
      // selection should have been created with a data indexing function (e.g.
      // data(data, function(d) { return ... })). Otherwise, the wrong object
      // may be moved to the front.
      function moveToFront(selection) {
        return selection.each(function() {
          this.parentNode.appendChild(this);
        });
      }

// Panning and zooming --------------------------------------------
      // For panning and zooming x, d3.behavior.zoom does most of what we want
      // automatically. For panning y, we can't use d3.behavior.zoom becuase it
      // will also automatically add zooming, which we don't want. Instead, we
      // need to use d3.behavior.drag and set the y domain appropriately.
      var drag = d3.behavior.drag()
        .on("drag", function() {
          dragging = true;
          var y = scales.y;
          var ydom = y.domain();
          var ydiff = y.invert(d3.event.dy) - y.invert(0);
          y.domain([ydom[0] - ydiff, ydom[1] - ydiff]);
        });

// For mousewheel zooming, we need to limit zoom amount. This is needed
      // because in Firefox, zoom increments are too big. To do this, we limit
      // scaleExtent before the first zoom event, and after each subsequent
      // one.
      //
      // When zooming out, there's an additional limit: never zoom out past
      // the original zoom span. The reason it's necessary to calculate this
      // each time, instead of simply setting the scaleExtent() so that the
      // lower bound is 1, is because other zoom events (like
      // dblclick.zoomcell) are able to change the domain of scales.x, without
      // changing the value of zoom.scale(). This means that the relationship
      // between the zoom.scale() does not have a fixed linear relationship to
      // the span of scales.x, and we have to recalculate it.
      var maxZoomPerStep = 1.1;

function zoomOutLimit() {
        var span = scales.x.domain()[1] - scales.x.domain()[0];
        var startSpan = domains.x[1] - domains.x[0];
        return Math.min(maxZoomPerStep, startSpan/span);
      }

var zoom = d3.behavior.zoom()
        .x(scales.x)
        .on("zoomstart", function() {
          zoom.scaleExtent([zoom.scale() / zoomOutLimit(), zoom.scale() * maxZoomPerStep]);
        })
        .on("zoom", function(e) {
          redrawImmediate();
          zoom.scaleExtent([zoom.scale() / zoomOutLimit(), zoom.scale() * maxZoomPerStep]);
        });

// Register drag before zooming, because we need the drag to set the y
      // scale before the zoom triggers a redraw.
      svg
        .on("mouseup", function(d) {
          dragging = false;
        })
        .call(drag);

// Unlock selection when background is clicked, and zoom out when
      // background is double-clicked.
      backgroundRect
        .on("mouseup", function(d) {
          if (dragging) return;

// If it wasn't a drag, hide info box and unlock.
          vis.infoBox.hide();
          highlighter.click(null);
        })
        .on("dblclick.zoombackground", function() {
          savePrevScales();

scales.x.domain(domains.x);
          zoom.x(scales.x);

redrawZoom(250);
        });

onResize();

return {
        el: el,
        onResize: onResize,
        onUpdateInternals: onResize,
        redrawImmediate: redrawImmediate,
        redrawZoom: redrawZoom,
        redrawCollapse: redrawCollapse,
        redrawUncollapse: redrawUncollapse,
        savePrevScales: savePrevScales,
        useCollapsedDepth: useCollapsedDepth,
        useUncollapsedDepth: useUncollapsedDepth,
        addLockHighlight: addLockHighlight,
        clearLockHighlight: clearLockHighlight,
        addActiveHighlight: addActiveHighlight,
        clearActiveHighlight: clearActiveHighlight,
        disableZoom: disableZoom,
        enableZoom: enableZoom
      };
    } // generateFlameGraph

function initInfoBox(el) {

function show(d) {
        var label = d.label ? d.label : "";
        var ref = (d.filename && d.linenum) ?
          (d.filename + "#" + d.linenum) :
          "(source unavailable)";

el.style.visibility = "";

el.innerHTML =
          "<table>" +
          "<tr><td class='infobox-title'>Label</td><td>" + escapeHTML(label) + "</td></tr>" +
          "<tr><td class='infobox-title'>Called from</td><td>" + escapeHTML(ref) + "</td></tr>" +
          "<tr><td class='infobox-title'>Total time</td><td>" + (d.endTime - d.startTime) + "ms</td></tr>" +
          "<tr><td class='infobox-title'>Memory</td><td>" +
            roundOneDecimal(d.sumMemDealloc) + " / " + roundOneDecimal(d.sumMemAlloc) +
            " MB</td></tr>" +
          "<tr><td class='infobox-title'>Agg. total time</td><td>" + vis.aggLabelTimes[label] + "ms</td></tr>" +
          "<tr><td class='infobox-title'>Call stack depth</td><td>" + d.depth + "</td></tr>" +
          "</table>";
      }

function hide() {
        el.style.visibility = "hidden";
      }

hide();

return {
        el: el,
        show: show,
        hide: hide
      };
    }

// Generate the tree table ----------------------------------------
    function generateTreetable(el) {
      var content = d3.select(el);

var table = content.append("table")
          .attr("class", "results")
          .attr("cellspacing", "0")
          .attr("cellpadding", "0");

table.append("col");
      table.append("col")
        .style("width", "120px");
      table.append("col")
        .style("width", "50px")
        .attr("class", "treetable-memory");
      table.append("col")
        .style("width", "26px")
        .attr("class", "treetable-memory");
      table.append("col")
        .style("width", "50px")
        .attr("class", "treetable-memory");
      table.append("col")
        .style("width", "50px");
      table.append("col")
        .style("width", "40px");

var tableBody = table.append("tbody");

var headerRows = tableBody.append("tr");

headerRows.append("th")
        .attr("class", "code-label")
        .text("Code");

headerRows.append("th")
        .attr("class", "path")
        .text("File");

headerRows.append("th")
        .attr("class", "treetable-memory memory")
        .attr("colspan", "3")
        .text("Memory (MB)");

headerRows.append("th")
        .attr("class", "time")
        .attr("colspan", "2")
        .text("Time (ms)");

// Retrieve all nodes (n), recursevely, where check(n) == true.
      function allTopNodes(nodes, check) {
        var included = [];
        nodes = nodes.slice();

while (nodes.length > 0) {
          var node = nodes.shift();

if (check(node))
            included.push(node);
          else {
            node.sumChildren.forEach(function(c1) {
              nodes.unshift(c1);
            });
          }
        }
        return included;
      }

// Is there one node (n), including root, where check(n) == true?
      function oneNode(root, check) {
        var nodes = [root];

while (nodes.length > 0) {
          var n = nodes.shift();
          if (check(n))
            return true;

n.sumChildren.forEach(function(x) {
            nodes.unshift(x);
          });
        }

return false;
      }

function updateRowsDisplay(d) {
        if (vis.hideInternals && d.isInternal)
          return "none";
        else if (!vis.hideInternals && d.isDescendant)
          return "none";

var collapsed = false;
        while (d.parent) {
          d = d.parent;
          if (d.collapsed) {
            collapsed = true;
            break;
          }
        }
        return collapsed ? "none" : "";
      }

function toggleTreeNode(d) {
        if (!d.canExpand)
          return;

var collapsed = d.collapsed;
        if (collapsed === undefined) {
          // Create a copy since we might insert the same node twice: once
          // for the normal leaf the other one for a collapsed node.
          var sumChildren = d.sumChildren.map(function(x) {
            return jQuery.extend({}, x);
          });

var childNodes = sumChildren.filter(function(x) {
            return x.depthCollapsed !== null;
          });

childNodes.forEach(function(x) {
            x.isInternal = d.isInternal ? d.isInternal : false;
            x.isDescendant = d.isDescendant ? d.isDescendant : false;
          });

var internalChildNodes = sumChildren.filter(function(x) {
            return x.depthCollapsed === null;
          });

internalChildNodes.forEach(function(x) {
            x.isInternal = true;
            x.isDescendant = false;
          });

var notInternalDescendantNodes = [];
          if (!d.isInternal) {
            notInternalDescendantNodes = allTopNodes(internalChildNodes, function(x) {
              return x.depthCollapsed !== null && d.depth < x.depth;
            });
          }

notInternalDescendantNodes.forEach(function(x) {
            x.isInternal = false;
            x.isDescendant = true;
          });

childNodes = childNodes.concat(internalChildNodes);
          childNodes = childNodes.concat(notInternalDescendantNodes);

childNodes.forEach(function(n) {
            n.visualDepth = d.visualDepth + 1;
            n.parent = d;
          });

vis.profTable = vis.profTable.concat(childNodes);
          d.collapsed = false;

updateRows();

// Nodes are sorted "heaviest first"
          if (childNodes.length == 1) toggleTreeNode(childNodes[0]);
        }
        else {
          d.collapsed = !collapsed;
          updateRows();
        }
      }

var collapsedClass = "";
            if (d.canExpand)
              collapsedClass = d.collapsed === undefined ? "treetable-expand" : d.collapsed ? "treetable-expand" : "treetable-collapse";

return "code-label " + (d.canExpand ? "label-pointer " + collapsedClass : "");
          });
      }

function updateRows() {
        var rows = tableBody.selectAll("tr.treetable-row")
          .data(vis.profTable, function(d) {
            return d.id;
          });

rows.exit()
          .remove();

var updatedRows = rows
          .style("display", updateRowsDisplay);

var updatedLabelCells = updatedRows.selectAll("td.code-label");
        updateLabelCells(updatedLabelCells);

var newRows = rows.enter()
          .append("tr")
          .filter(function(d) {
            if (vis.hideInternals && d.depthCollapsed === null)
              return false;

return true;
          })
          .on("click", function(d) {
            table.selectAll("tr")
              .style("background-color", null);

this.style.backgroundColor = "rgb(241, 241, 241)";
            notifySourceFileMessage(d, "select");
          })
          .style("display", updateRowsDisplay);

newRows
          .attr("class", "treetable-row");

var labelCell = newRows.append("td");
        updateLabelCells(labelCell);

var cellWrapper = labelCell.append("div");
        cellWrapper.append("div");

labelCell.append("div")
          .attr("class", "label-text")
          .text(function(d) { return d.label; });

newRows.append("td")
          .attr("class", "path")
          .text(function(d) {
            var lastSlash = d.filename ? d.filename.lastIndexOf("/") : -1;
            if (lastSlash >= 0)
              return d.filename.substr(lastSlash + 1);

return d.filename;
          });

newRows.append("td")
          .attr("class", "treetable-memory memory-info")
          .text(function(d) {
            return roundOneDecimal(d.sumMemDealloc);
          });

var memoryBarContainer = newRows.append("td")
          .attr("class", "treetable-memory memory-bar-container");

var memoryLeftCell = memoryBarContainer.append("div")
          .attr("class", "memory-leftbar-wrapper");

memoryLeftCell.append("div")
          .attr("class", "memory-leftbar")
          .style("width", function(d) {
            return  1 + Math.min(Math.abs(Math.min(Math.round(d.propMemDealloc * 5), 0)), 5) + "px";
          });

memoryBarContainer.append("div")
          .attr("class", "memory-rightbar")
          .style("width", function(d) {
            return 1 + Math.min(Math.max(Math.round(d.propMemAlloc * 13), 0), 13) + "px";
          });

newRows.append("td")
          .attr("class", "treetable-memory memory-info-right")
          .text(function(d) {
            return roundOneDecimal(d.sumMemAlloc);
          });

newRows.append("td")
          .attr("class", "time-info")
          .text(function(d) {
            return d.sumTime;
          });

var timeCell = newRows.append("td")
          .attr("class", "time-bar-container");

timeCell.append("div")
          .attr("class", "timebar")
          .style("width", function(d) {
            return Math.round(d.propTime * 20) + "px";
          });

var unorderedRows = d3.selectAll("tr.treetable-row")
          .data(vis.profTable, function(d) {
            return d.id;
          });

unorderedRows.sort(function(a,b) {
          return (a.id < b.id) ? -1 : (a.id == b.id ? 0 : 1);
        });

useMemoryResults();
      }

var buildProfTable = function (profTree) {
        var head = jQuery.extend({}, profTree);
        var nodes = [head];

nameMapEntry.propMem        = nameMapEntry.sumMem        / vis.totalMem;
            nameMapEntry.propMemDealloc = nameMapEntry.sumMemDealloc / vis.totalMem;
            nameMapEntry.propMemAlloc   = nameMapEntry.sumMemAlloc   / vis.totalMem;
            nameMapEntry.propTime       = nameMapEntry.sumTime       / vis.totalTime;

c.children.forEach(function(e) {
              nameMapEntry.children.push(e);
            });

nameMap[c.label] = nameMapEntry;
          });

var childrenSum = [];
          for (var label in nameMap) {
            childrenSum.push(nameMap[label]);
          }

// Sort by time descending
          childrenSum.sort(function(a, b) { return b.sumTime - a.sumTime });
          return childrenSum;
        };

function addToNodesAt(c, i) {
          nodes.splice(i, 0, c);
        }

var id = 0;
        while (nodes.length > 0) {
          var node = nodes.shift();

node.id = id;
          id = id + 1;

node.sumChildren = aggregateChildren(node);

// Processing in order is important to preserve order of IDs!
          node.sumChildren.forEach(addToNodesAt);
        }

return head.sumChildren;
      };

function useMemoryResults() {
        d3.selectAll(".treetable-memory").style("display", vis.hideMemory ? "none" : "");
      }

vis.profTable = buildProfTable(vis.profTree);
      vis.profTable.forEach(function(e) {
        e.visualDepth = 1;
      });

updateRows();

return {
        el: el,
        onResize: updateRows,
        onOptionsChange: updateRows,
        onUpdateInternals: function() {

},
        useMemoryResults: useMemoryResults
      };
    }

function enableScroll() {
      vis.codeTable.enableScroll();
      vis.flameGraph.enableZoom();
    }

function disableScroll() {
      vis.codeTable.disableScroll();
      vis.flameGraph.disableZoom();
    }

// Set up resizing --------------------------------------------------------

// This is used as a jQuery event namespace so that we can remove the window
    // resize handler on subsequent calls to initResizing(). Not elegant, but it
    // gets the job done.
    var resizeCallbackNamespace = randomString(10);

// Resize panel1 and panel2 to 50% of available space and add callback
    // for window resizing.
    function initResizing() {
      var $el = $(vis.el);
      var $panel1 = $el.children(".profvis-panel1");
      var $panel2 = $el.children(".profvis-panel2");
      var $splitBar = $el.children(".profvis-splitbar");
      var $statusBar = $el.children(".profvis-status-bar");

// Clear any existing positioning that may have happened from previous
      // calls to this function and the callbacks that it sets up.
      $panel1.removeAttr("style");
      $panel2.removeAttr("style");
      $splitBar.removeAttr("style");
      $statusBar.removeAttr("style");

// CSS class suffix for split direction
      var splitClass = (vis.splitDir === "h") ? "horizontal" : "vertical";

// Remove existing horizontal/vertical class and add the correct class back.
      $panel1.removeClass("profvis-panel1-horizontal profvis-panel1-vertical");
      $panel2.removeClass("profvis-panel2-horizontal profvis-panel2-vertical");
      $splitBar.removeClass("profvis-splitbar-horizontal profvis-splitbar-vertical");
      $panel1.addClass("profvis-panel1-" + splitClass);
      $panel2.addClass("profvis-panel2-" + splitClass);
      $splitBar.addClass("profvis-splitbar-" + splitClass);

var splitBarGap;
      var margin;
      // Record the proportions from the previous call to resizePanels. This is
      // needed when we resize the window to preserve the same proportions.
      var lastSplitProportion;

if (vis.splitDir === "v") {
        // Record the gap between the split bar and the objects to left and right
        splitBarGap = {
          left: $splitBar.offset().left - offsetRight($panel1),
          right: $panel2.offset().left - offsetRight($splitBar)
        };

// Capture the initial distance from the left and right of container element
        margin = {
          left: $panel1.position().left,
          right: $el.innerWidth() - positionRight($panel2)
        };

} else if (vis.splitDir === "h") {
        splitBarGap = {
          top: $splitBar.offset().top - offsetBottom($panel1),
          bottom: $panel2.offset().top - offsetBottom($splitBar)
        };

margin = {
          top: $panel1.position().top,
          bottom: $el.innerWidth() - positionBottom($panel2)
        };
      }

// Resize the panels. splitProportion is a number from 0-1 representing the
      // horizontal position of the split bar.
      function resizePanels(splitProportion) {
        if (!splitProportion)
          splitProportion = lastSplitProportion;

if (vis.splitDir === "v") {
          var innerWidth = offsetRight($panel2) - $panel1.offset().left;

$splitBar.offset({
            left: $panel1.offset().left + innerWidth * splitProportion -
                  $splitBar.outerWidth()/2
          });

// Size and position the panels
          $panel1.outerWidth($splitBar.position().left - splitBarGap.left -
                             margin.left);
          $panel2.offset({ left: offsetRight($splitBar) + splitBarGap.right });

} else if (vis.splitDir === "h") {
          var innerHeight = offsetBottom($panel2) - $panel1.offset().top;

$splitBar.offset({
            top: $panel1.offset().top + innerHeight * splitProportion -
                 $splitBar.outerHeight()/2
          });

// Size and position the panels
          $panel1.outerHeight($splitBar.position().top - splitBarGap.top -
                             margin.top);
          $panel2.offset({ top: offsetBottom($splitBar) + splitBarGap.bottom });
        }

lastSplitProportion = splitProportion;
      }

// Initially, set widths to 50/50
      // For the first sizing, we don't need to call vis.flameGraph.onResize()
      // because this happens before the flame graph is generated.
      resizePanels(0.5);

var resizePanelsDebounced = debounce(function() {
        resizePanels(lastSplitProportion);
        vis.activeViews.forEach(function(e) {
          if (e.onResize) e.onResize();
        });
      }, 250);

// Clear old resize handler and add new one. We use a namespace for this
      // visualization to make sure not to delete handlers for other profvis
      // visualizations on the same page (this can happen with Rmd documents).
      $(window).off("resize.profvis." + resizeCallbackNamespace);
      $(window).on("resize.profvis." + resizeCallbackNamespace, resizePanelsDebounced);

// Get current proportional position of split bar
      function splitProportion() {
        var splitCenter;

if (vis.splitDir === "v") {
          splitCenter = $splitBar.offset().left - $panel1.offset().left +
                            $splitBar.outerWidth()/2;
          var innerWidth = offsetRight($panel2) - $panel1.offset().left;
          return splitCenter / innerWidth;

} else if (vis.splitDir === "h") {
          splitCenter = $splitBar.offset().top - $panel1.offset().top +
                            $splitBar.outerHeight()/2;
          var innerHeight = offsetBottom($panel2) - $panel1.offset().top;
          return splitCenter / innerHeight;
        }
      }

// Enable dragging of the split bar ---------------------------------------
      (function() {
        var dragging = false;
        // For vertical split (left-right dragging)
        var startDragX;
        var startOffsetLeft;
        // For horizontal split (up-down dragging)
        var startDragY;
        var startOffsetTop;

var stopDrag = function(e) {
          if (!dragging) return;
          dragging = false;

document.removeEventListener("mousemove", drag);
          document.removeEventListener("mouseup", stopDrag);

$splitBar.css("opacity", "");

if ((vis.splitDir === "v" && e.pageX - startDragX === 0) ||
              (vis.splitDir === "h" && e.pageY - startDragY === 0)) {
            return;
          }

resizePanels(splitProportion());
          vis.flameGraph.onResize();
        };

var startDrag = function(e) {
          // Don't start another drag if we're already in one.
          if (dragging) return;
          dragging = true;
          pauseEvent(e);

$splitBar.css("opacity", 0.75);

if (vis.splitDir === "v") {
            startDragX = e.pageX;
            startOffsetLeft = $splitBar.offset().left;
          } else {
            startDragY = e.pageY;
            startOffsetTop = $splitBar.offset().top;
          }

document.addEventListener("mousemove", drag);
          document.addEventListener("mouseup", stopDrag);
        };

var drag = function(e) {
          if (!dragging) return;
          pauseEvent(e);

if (vis.splitDir === "v") {
            var dx = e.pageX - startDragX;
            if (dx === 0)
              return;

// Move the split bar
            $splitBar.offset({ left: startOffsetLeft + dx });

} else if (vis.splitDir === "h") {
            var dy = e.pageY - startDragY;
            if (dy === 0)
              return;

// Move the split bar
            $splitBar.offset({ top: startOffsetTop + dy });
          }
        };

// Stop propogation so that we don't select text while dragging
        function pauseEvent(e){
          if(e.stopPropagation) e.stopPropagation();
          if(e.preventDefault) e.preventDefault();
          e.cancelBubble = true;
          e.returnValue = false;
          return false;
        }

// Remove existing event listener from previous calls to initResizing().
        $splitBar.off("mousedown.profvis");
        $splitBar.on("mousedown.profvis", startDrag);
      })();

return {
        resizePanels: resizePanels
      };
    }

var prof = prepareProfData(message.prof, message.interval);

var vis = {
      el: el,
      prof: prof,
      profTree: getProfTree(prof),
      interval: message.interval,
      totalTime: getTotalTime(prof),
      totalMem: getTotalMemory(prof),
      files: message.files,
      aggLabelTimes: getAggregatedLabelTimes(prof),
      fileLineStats: getFileLineStats(prof, message.files),
      profTable: [],

// Objects representing each component
      statusBar: null,
      optionsPanel: null,
      codeTable: null,
      flameGraph: null,
      infoBox: null,
      treetable: null,
      activeViews: [],

// Functions to enable/disable responding to scrollwheel events
      enableScroll: enableScroll,
      disableScroll: disableScroll,

splitDir: message.split,
      hideInternals: true,
      hideMemory: false,

resizePanels: null
    };

// Render the objects ---------------------------------------------

var statusBarEl = document.createElement("div");
    statusBarEl.className = "profvis-status-bar";
    vis.el.appendChild(statusBarEl);

// Container panels - top/bottom or left/right
    var panel1 = document.createElement("div");
    panel1.className = "profvis-panel1";
    vis.el.appendChild(panel1);

var panel2 = document.createElement("div");
    panel2.className = "profvis-panel2";
    vis.el.appendChild(panel2);

var splitBarEl = document.createElement("div");
    splitBarEl.className = "profvis-splitbar";
    vis.el.appendChild(splitBarEl);

var footerEl = document.createElement("div");
    footerEl.className = "profvis-footer";
    vis.el.appendChild(footerEl);

// Items in the panels
    var codeTableEl = document.createElement("div");
    codeTableEl.className = "profvis-code";
    panel1.appendChild(codeTableEl);

var flameGraphEl = document.createElement("div");
    flameGraphEl.className = "profvis-flamegraph";
    panel2.appendChild(flameGraphEl);

var infoBoxEl = document.createElement("div");
    infoBoxEl.className = "profvis-infobox";
    panel2.appendChild(infoBoxEl);

var treetableEl = document.createElement("div");
    treetableEl.className = "profvis-treetable";
    treetableEl.style.display = "none";
    vis.el.appendChild(treetableEl);

var optionsPanelEl = document.createElement("div");
    optionsPanelEl.className = "profvis-options-panel";
    vis.el.appendChild(optionsPanelEl);

// Efficient to properly size panels before the code + flamegraph are
    // rendered, so that we don't have to re-render.
    var resize = initResizing();
    vis.resizePanels = resize.resizePanels;

var hideViews = function() {
      splitBarEl.style.display = "none";
      panel1.style.display = "none";
      panel2.style.display = "none";
      treetableEl.style.display = "none";
    };

var toggleViews = function(view) {
      hideViews();

switch (view) {
        case "flamegraph":
          splitBarEl.style.display = "block";
          panel1.style.display = "block";
          panel2.style.display = "block";

vis.activeViews = [vis.flameGraph, vis.codeTable];
          vis.resizePanels();
          break;
        case "treetable":
          if (!vis.treetable) {
            vis.treetable = generateTreetable(treetableEl);
          }

treetableEl.style.display = "block";

vis.activeViews = [vis.treetable];
          break;
      }

vis.activeViews.forEach(function(e) {
        if (e.onResize) e.onResize();
      });
    };

var onOptionsChange = function(option, checked) {
      switch (option)
      {
        case "split": {
          vis.splitDir = checked ? "h" : "v";
          // Check that flame graph is visible
          if ($.inArray(vis.flameGraph, vis.activeViews) !== -1) {
            initResizing();
            vis.flameGraph.onResize();
          }
          break;
        }
        case "internals": {
          vis.flameGraph.savePrevScales();

vis.hideInternals = checked;
          if (checked) {
            vis.flameGraph.useCollapsedDepth();
            vis.flameGraph.redrawCollapse(400, 400);
          } else {
            vis.flameGraph.useUncollapsedDepth();
            vis.flameGraph.redrawUncollapse(400, 250);
          }

vis.activeViews.forEach(function(e) {
            if (e.onOptionsChange) e.onOptionsChange();
          });

break;
        }
        case "memory": {
          vis.hideMemory = checked;
          vis.activeViews.forEach(function(e) {
            if (e.useMemoryResults) e.useMemoryResults();
          });
          break;
        }
      }
    };

// Create the UI components
    vis.statusBar = generateStatusBar(statusBarEl, toggleViews);
    vis.footer = generateFooter(footerEl);
    vis.optionsPanel = generateOptionsPanel(optionsPanelEl, onOptionsChange);
    vis.codeTable = generateCodeTable(codeTableEl);
    vis.flameGraph = generateFlameGraph(flameGraphEl);
    vis.infoBox = initInfoBox(infoBoxEl);
    vis.treetable = null;
    vis.activeViews = [vis.flameGraph, vis.codeTable];

// If any depth collapsing occured, enable the "hide internal" checkbox.
    if (prof.some(function(d) { return d.depth !== d.depthCollapsed; })) {
      vis.optionsPanel.enableHideInternal();
    }

// Start with scrolling disabled because of mousewheel scrolling issue
    disableScroll();

// Make the vis object accessible via the DOM element
    $(el).data("profvis", vis);

return vis;
  };  // profvis.render()

// Calculate amount of time spent on each line of code. Returns nested objects
  // grouped by file, and then by line number.
  function getFileLineStats(prof, files) {
    // Drop entries with null or "" filename
    prof = prof.filter(function(row) {
      return row.filename !== null && row.filename !== "";
    });

// Gather line-by-line file contents
    var fileLineStats = files.map(function(file) {
      // Create array of objects with info for each line of code.
      var lines = file.content.split("\n");
      var lineData = [];
      var filename = file.filename;
      var normpath = file.normpath;
      for (var i=0; i<lines.length; i++) {
        lineData[i] = {
          filename: filename,
          normpath: normpath,
          linenum: i + 1,
          content: lines[i],
          sumTime: 0,
          sumMem: 0,
          sumMemAlloc: 0,
          sumMemDealloc: 0
        };
      }

return {
        filename: filename,
        lineData: lineData
      };
    });

// Get timing data for each line
    var statsData = d3.nest()
      .key(function(d) { return d.filename; })
      .key(function(d) { return d.linenum; })
      .rollup(function(leaves) {
        var sumTime = leaves.reduce(function(sum, d) {
          // Add this node's time only if no ancestor node has the same
          // filename and linenum. This is to avoid double-counting times for
          // a line.
          var incTime = 0;
          if (!ancestorHasFilenameLinenum(d.filename, d.linenum, d.parent)) {
            incTime = d.endTime - d.startTime;
          }
          return sum + incTime;
        }, 0);

var sumMem = leaves.reduce(function(sum, d) {
          return sum + d.sumMem;
        }, 0);

var sumMemDealloc = leaves.reduce(function(sum, d) {
          return sum + d.sumMemDealloc;
        }, 0);

var sumMemAlloc = leaves.reduce(function(sum, d) {
          return sum + d.sumMemAlloc;
        }, 0);

return {
          filename: leaves[0].filename,
          linenum: leaves[0].linenum,
          sumTime: sumTime,
          sumMem: sumMem,
          sumMemAlloc: sumMemAlloc,
          sumMemDealloc: sumMemDealloc
        };
      })
      .entries(prof);

// Insert the sumTimes into line content data
    statsData.forEach(function(fileInfo) {
      // Find item in fileTimes that matches the file of this fileInfo object
      var fileLineData = fileLineStats.filter(function(d) {
        return d.filename === fileInfo.key;
      })[0].lineData;

fileInfo.values.forEach(function(lineInfo) {
        lineInfo = lineInfo.values;
        fileLineData[lineInfo.linenum - 1].sumTime = lineInfo.sumTime;
        fileLineData[lineInfo.linenum - 1].sumMem = lineInfo.sumMem;
        fileLineData[lineInfo.linenum - 1].sumMemDealloc = lineInfo.sumMemDealloc;
        fileLineData[lineInfo.linenum - 1].sumMemAlloc = lineInfo.sumMemAlloc;
      });
    });

// Calculate proportional times, relative to the longest time in the data
    // set. Modifies data in place.
    var fileMaxTimes = fileLineStats.map(function(lines) {
      var lineTimes = lines.lineData.map(function(x) { return x.sumTime; });
      return d3.max(lineTimes);
    });

var maxTime = d3.max(fileMaxTimes);

fileLineStats.map(function(lines) {
      lines.lineData.map(function(line) {
        line.propTime = line.sumTime / maxTime;
      });
    });

var totalMem = getTotalMemory(prof);

fileLineStats.map(function(lines) {
      lines.lineData.map(function(line) {
        line.propMem = line.sumMem / totalMem;
        line.propMemDealloc = line.sumMemDealloc / totalMem;
        line.propMemAlloc = line.sumMemAlloc / totalMem;
      });
    });

return fileLineStats;

// Returns true if the given node or one of its ancestors has the given
    // filename and linenum; false otherwise.
    function ancestorHasFilenameLinenum(filename, linenum, node) {
      if (!node) {
        return false;
      }
      if (node.filename === filename && node.linenum === linenum) {
        return true;
      }
      return ancestorHasFilenameLinenum(filename, linenum, node.parent);
    }
  }

function prepareProfData(prof, interval) {
    // Convert object-with-arrays format prof data to array-of-objects format
    var data = colToRows(prof);
    data = addParentChildLinks(data);
    data = consolidateRuns(data);
    data = applyInterval(data, interval);
    data = findCollapsedDepths(data);

return data;
  }

// Given the raw profiling data, convert `time` and `lastTime` fields to
  // `startTime` and `endTime`, and use the supplied interval. Modifies data
  // in place.
  function applyInterval(prof, interval) {
    prof.forEach(function(d) {
      d.startTime = interval * (d.time - 1);
      d.endTime = interval * (d.lastTime);
      delete d.time;
      delete d.lastTime;
    });

return prof;
  }

// Find the total time spanned in the data
  function getTotalTime(prof) {
    return d3.max(prof, function(d) { return d.endTime; }) -
           d3.min(prof, function(d) { return d.startTime; });
  }

// Find the total memory spanned in the data
  function getTotalMemory(prof) {
    return d3.max(prof, function(d) { return d.memalloc; });
  }

// Calculate the total amount of time spent in each function label
  function getAggregatedLabelTimes(prof) {
    var labelTimes = {};
    var tree = getProfTree(prof);
    calcLabelTimes(tree);

return labelTimes;

// Traverse the tree with the following strategy:
    // * Check if current label is used in an ancestor.
    //   * If yes, don't add to times for that label.
    //   * If no, do add to times for that label.
    // * Recurse into children.
    function calcLabelTimes(node) {
      var label = node.label;
      if (!ancestorHasLabel(label, node.parent)) {
        if (labelTimes[label] === undefined)
          labelTimes[label] = 0;

labelTimes[label] += node.endTime - node.startTime;
      }

node.children.forEach(calcLabelTimes);
    }

// Returns true if the given node or one of its ancestors has the given
    // label; false otherwise.
    function ancestorHasLabel(label, node) {
      if (node) {
        if (node.label === label) {
          return true;
        }
        return ancestorHasLabel(label, node.parent);
      } else {
        return false;
      }
    }
  }

// Given profiling data, add parent and child links to indicate stack
  // relationships.
  function addParentChildLinks(prof) {
    var data = d3.nest()
      .key(function(d) { return d.time; })
      .rollup(function(leaves) {
        leaves = leaves.sort(function(a, b) { return a.depth - b.depth; });

leaves[0].parent = null;
        leaves[0].children = [];

for (var i=1; i<leaves.length; i++) {
          leaves[i-1].children.push(leaves[i]);
          leaves[i].parent = leaves[i-1];
          leaves[i].children = [];
        }

return leaves;
      })
      .map(prof);

// Convert data from object of arrays to array of arrays
    data = d3.map(data).values();
    // Flatten data
    return d3.merge(data);
  }

// Given profiling data, consolidate consecutive blocks for a flamegraph.
  // This function also assigns correct parent-child relationships to form a
  // tree of data objects, with a hidden root node at depth 0.
  function consolidateRuns(prof) {
    // Create a special top-level leaf whose only purpose is to point to its
    // children, the items at depth 1.
    var topLeaf = {
      depth: 0,
      parent: null,
      children: prof.filter(function(d) { return d.depth === 1; })
    };

var tree = consolidateTree(topLeaf);
    var data = treeToArray(tree);
    // Remove the root node from the flattened data
    data = data.filter(function(d) { return d.depth !== 0; });
    return data;

function consolidateTree(tree) {
      var leaves = tree.children;
      leaves = leaves.sort(function(a, b) { return a.time - b.time; });

// Collapse consecutive leaves, with some conditions
      var startLeaf = null;  // leaf starting this run
      var lastLeaf = null;   // The last leaf we've looked at
      var newLeaves = [];
      var collectedChildren = [];
      var sumMem = 0;
      var sumMemDealloc = 0;
      var sumMemAlloc = 0;

// This takes the start leaf, end leaf, and the set of children for the
      // new leaf, and creates a new leaf which copies all its properties from
      // the startLeaf, except lastTime and children.
      function addNewLeaf(startLeaf, endLeaf, newLeafChildren, sumMem, sumMemDealloc, sumMemAlloc) {
        var newLeaf = $.extend({}, startLeaf);
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<h1 class="title toc-ignore">Profiling Performance</h1>
<h4 class="author"><em>Thomas Lin Pedersen</em></h4>

<p>In order to continuously monitor the performance of gtable the following piece of code is used to generate a profile and inspect it:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="kw">library</span>(ggplot2)</a>
<a class="sourceLine" id="cb1-2" data-line-number="2"><span class="kw">library</span>(profvis)</a>
<a class="sourceLine" id="cb1-3" data-line-number="3"></a>
<a class="sourceLine" id="cb1-4" data-line-number="4">p &lt;-<span class="st"> </span><span class="kw">ggplot</span>(mtcars, <span class="kw">aes</span>(mpg, disp)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb1-5" data-line-number="5"><span class="st">  </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb1-6" data-line-number="6"><span class="st">  </span><span class="kw">facet_grid</span>(gear<span class="op">~</span>cyl)</a>
<a class="sourceLine" id="cb1-7" data-line-number="7"></a>
<a class="sourceLine" id="cb1-8" data-line-number="8">p_build &lt;-<span class="st"> </span><span class="kw">ggplot_build</span>(p)</a>
<a class="sourceLine" id="cb1-9" data-line-number="9"></a>
<a class="sourceLine" id="cb1-10" data-line-number="10">profile &lt;-<span class="st"> </span><span class="kw">profvis</span>(<span class="cf">for</span> (i <span class="cf">in</span> <span class="kw">seq_len</span>(<span class="dv">100</span>)) <span class="kw">ggplot_gtable</span>(p_build))</a>
<a class="sourceLine" id="cb1-11" data-line-number="11"></a>
<a class="sourceLine" id="cb1-12" data-line-number="12">profile</a></code></pre></div>
<div id="htmlwidget-64df14ab9facfd88970d" style="width:100%;height:600px;" class="profvis html-widget"></div>
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Cartesian coordinates\n#'\n#' The Cartesian coordinate system is the most familiar, and common, type of\n#' coordinate system. Setting limits on the coordinate system will zoom the\n#' plot (like you're looking at it with a magnifying glass), and will not\n#' change the underlying data like setting limits on a scale will.\n#'\n#' @param xlim,ylim Limits for the x and y axes.\n#' @param expand If `TRUE`, the default, adds a small expansion factor to\n#'   the limits to ensure that data and axes don't overlap. If `FALSE`,\n#'   limits are taken exactly from the data or `xlim`/`ylim`.\n#' @param default Is this the default coordinate system? If `FALSE` (the default),\n#'   then replacing this coordinate system with another one creates a message alerting\n#'   the user that the coordinate system is being replaced. If `TRUE`, that warning\n#'   is suppressed.\n#' @param clip Should drawing be clipped to the extent of the plot panel? A\n#'   setting of `\"on\"` (the default) means yes, and a setting of `\"off\"`\n#'   means no. In most cases, the default of `\"on\"` should not be changed,\n#'   as setting `clip = \"off\"` can cause unexpected results. It allows\n#'   drawing of data points anywhere on the plot, including in the plot margins. If\n#'   limits are set via `xlim` and `ylim` and some data points fall outside those\n#'   limits, then those data points may show up in places such as the axes, the\n#'   legend, the plot title, or the plot margins.\n#' @export\n#' @examples\n#' # There are two ways of zooming the plot display: with scales or\n#' # with coordinate systems.  They work in two rather different ways.\n#'\n#' p <- ggplot(mtcars, aes(disp, wt)) +\n#'   geom_point() +\n#'   geom_smooth()\n#' p\n#'\n#' # Setting the limits on a scale converts all values outside the range to NA.\n#' p + scale_x_continuous(limits = c(325, 500))\n#'\n#' # Setting the limits on the coordinate system performs a visual zoom.\n#' # The data is unchanged, and we just view a small portion of the original\n#' # plot. Note how smooth continues past the points visible on this plot.\n#' p + coord_cartesian(xlim = c(325, 500))\n#'\n#' # By default, the same expansion factor is applied as when setting scale\n#' # limits. You can set the limits precisely by setting expand = FALSE\n#' p + coord_cartesian(xlim = c(325, 500), expand = FALSE)\n#'\n#' # Simiarly, we can use expand = FALSE to turn off expansion with the\n#' # default limits\n#' p + coord_cartesian(expand = FALSE)\n#'\n#' # You can see the same thing with this 2d histogram\n#' d <- ggplot(diamonds, aes(carat, price)) +\n#'   stat_bin2d(bins = 25, colour = \"white\")\n#' d\n#'\n#' # When zooming the scale, the we get 25 new bins that are the same\n#' # size on the plot, but represent smaller regions of the data space\n#' d + scale_x_continuous(limits = c(0, 1))\n#'\n#' # When zooming the coordinate system, we see a subset of original 50 bins,\n#' # displayed bigger\n#' d + coord_cartesian(xlim = c(0, 1))\ncoord_cartesian <- function(xlim = NULL, ylim = NULL, expand = TRUE,\n                            default = FALSE, clip = \"on\") {\n  ggproto(NULL, CoordCartesian,\n    limits = list(x = xlim, y = ylim),\n    expand = expand,\n    default = default,\n    clip = clip\n  )\n}\n\n#' @rdname ggplot2-ggproto\n#' @format NULL\n#' @usage NULL\n#' @export\nCoordCartesian <- ggproto(\"CoordCartesian\", Coord,\n\n  is_linear = function() TRUE,\n  is_free = function() TRUE,\n\n  distance = function(x, y, panel_params) {\n    max_dist <- dist_euclidean(panel_params$x.range, panel_params$y.range)\n    dist_euclidean(x, y) / max_dist\n  },\n\n  range = function(panel_params) {\n    list(x = panel_params$x.range, y = panel_params$y.range)\n  },\n\n  backtransform_range = function(self, panel_params) {\n    self$range(panel_params)\n  },\n\n  transform = function(data, panel_params) {\n    rescale_x <- function(data) rescale(data, from = panel_params$x.range)\n    rescale_y <- function(data) rescale(data, from = panel_params$y.range)\n\n    data <- transform_position(data, rescale_x, rescale_y)\n    transform_position(data, squish_infinite, squish_infinite)\n  },\n\n  setup_panel_params = function(self, scale_x, scale_y, params = list()) {\n    train_cartesian <- function(scale, limits, name) {\n      range <- scale_range(scale, limits, self$expand)\n\n      out <- scale$break_info(range)\n      out$arrange <- scale$axis_order()\n      names(out) <- paste(name, names(out), sep = \".\")\n      out\n    }\n\n    c(\n      train_cartesian(scale_x, self$limits$x, \"x\"),\n      train_cartesian(scale_y, self$limits$y, \"y\")\n    )\n  }\n)\n\nscale_range <- function(scale, limits = NULL, expand = TRUE) {\n  expansion <- if (expand) expand_default(scale) else c(0, 0)\n\n  if (is.null(limits)) {\n    scale$dimension(expansion)\n  } else {\n    range <- range(scale$transform(limits))\n    expand_range(range, expansion[1], expansion[2])\n  }\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/coord-cartesian-.r"},{"filename":"ggplot2/R/position-.r","content":"#' @section Positions:\n#'\n#' All `position_*` functions (like `position_dodge`) return a\n#' `Position*` object (like `PositionDodge`). The `Position*`\n#' object is responsible for adjusting the position of overlapping geoms.\n#'\n#' The way that the `position_*` functions work is slightly different from\n#' the `geom_*` and `stat_*` functions, because a `position_*`\n#' function actually \"instantiates\" the `Position*` object by creating a\n#' descendant, and returns that.\n#'\n#' Each of the `Position*` objects is a [ggproto()] object,\n#' descended from the top-level `Position`, and each implements the\n#' following methods:\n#'\n#'   - `compute_layer(self, data, params, panel)` is called once\n#'     per layer. `panel` is currently an internal data structure, so\n#'     this method should not be overridden.\n#'\n#'   - `compute_panel(self, data, params, panel)` is called once per\n#'     panel and should return a modified data frame.\n#'\n#'     `data` is a data frame containing the variables named according\n#'     to the aesthetics that they're mapped to. `scales` is a list\n#'     containing the `x` and `y` scales. There functions are called\n#'     before the facets are trained, so they are global scales, not local\n#'     to the individual panels. `params` contains the parameters returned by\n#'     `setup_params()`.\n#'   - `setup_params(data, params)`: called once for each layer.\n#'      Used to setup defaults that need to complete dataset, and to inform\n#'      the user of important choices. Should return list of parameters.\n#'   - `setup_data(data, params)`: called once for each layer,\n#'      after `setup_params()`. Should return modified `data`.\n#'      Default checks that required aesthetics are present.\n#'\n#' And the following fields\n#'   - `required_aes`: a character vector giving the aesthetics\n#'      that must be present for this position adjustment to work.\n#'\n#' @rdname ggplot2-ggproto\n#' @format NULL\n#' @usage NULL\n#' @export\nPosition <- ggproto(\"Position\",\n  required_aes = character(),\n\n  setup_params = function(self, data) {\n    list()\n  },\n\n  setup_data = function(self, data, params) {\n    check_required_aesthetics(self$required_aes, names(data), snake_class(self))\n    data\n  },\n\n  compute_layer = function(self, data, params, layout) {\n    dapply(data, \"PANEL\", function(data) {\n      if (empty(data)) return(new_data_frame())\n\n      scales <- layout$get_scales(data$PANEL[1])\n      self$compute_panel(data = data, params = params, scales = scales)\n    })\n  },\n\n  compute_panel = function(self, data, params, scales) {\n    stop(\"Not implemented\", call. = FALSE)\n  }\n)\n\n#' Convenience function to transform all position variables.\n#'\n#' @param trans_x,trans_y Transformation functions for x and y aesthetics.\n#'   (will transform x, xmin, xmax, xend etc)\n#' @param ... Additional arguments passed to `trans_x` and `trans_y`.\n#' @keywords internal\n#' @export\ntransform_position <- function(df, trans_x = NULL, trans_y = NULL, ...) {\n  # Treat df as list during transformation for faster set/get\n  oldclass <- class(df)\n  df <- unclass(df)\n  scales <- aes_to_scale(names(df))\n\n  if (!is.null(trans_x)) {\n    df[scales == \"x\"] <- lapply(df[scales == \"x\"], trans_x, ...)\n  }\n  if (!is.null(trans_y)) {\n    df[scales == \"y\"] <- lapply(df[scales == \"y\"], trans_y, ...)\n  }\n\n  class(df) <- oldclass\n\n  df\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/position-.r"},{"filename":"ggplot2/R/ggproto.r","content":"#' Create a new ggproto object\n#'\n#' Construct a new object with `ggproto`, test with `is.proto`,\n#' and access parent methods/fields with `ggproto_parent`.\n#'\n#' ggproto implements a protype based OO system which blurs the lines between\n#' classes and instances. It is inspired by the proto package, but it has some\n#' important differences. Notably, it cleanly supports cross-package\n#' inheritance, and has faster performance.\n#'\n#' In most cases, creating a new OO system to be used by a single package is\n#' not a good idea. However, it was the least-bad solution for ggplot2 because\n#' it required the fewest changes to an already complex code base.\n#'\n#' @section Calling methods:\n#' ggproto methods can take an optional `self` argument: if it is present,\n#' it is a regular method; if it's absent, it's a \"static\" method (i.e. it\n#' doesn't use any fields).\n#'\n#' Imagine you have a ggproto object `Adder`, which has a\n#' method `addx = function(self, n) n + self$x`. Then, to call this\n#' function, you would use `Adder$addx(10)` -- the `self` is passed\n#' in automatically by the wrapper function. `self` be located anywhere\n#' in the function signature, although customarily it comes first.\n#'\n#' @section Calling methods in a parent:\n#' To explicitly call a methods in a parent, use\n#' `ggproto_parent(Parent, self)`.\n#'\n#' @param _class Class name to assign to the object. This is stored as the class\n#'   attribute of the object. This is optional: if `NULL` (the default),\n#'   no class name will be added to the object.\n#' @param _inherit ggproto object to inherit from. If `NULL`, don't\n#'   inherit from any object.\n#' @param ... A list of members in the ggproto object.\n#' @export\n#' @examples\n#' Adder <- ggproto(\"Adder\",\n#'   x = 0,\n#'   add = function(self, n) {\n#'     self$x <- self$x + n\n#'     self$x\n#'   }\n#'  )\n#' is.ggproto(Adder)\n#'\n#' Adder$add(10)\n#' Adder$add(10)\n#'\n#' Doubler <- ggproto(\"Doubler\", Adder,\n#'   add = function(self, n) {\n#'     ggproto_parent(Adder, self)$add(n * 2)\n#'   }\n#' )\n#' Doubler$x\n#' Doubler$add(10)\nggproto <- function(`_class` = NULL, `_inherit` = NULL, ...) {\n  e <- new.env(parent = emptyenv())\n\n  members <- list(...)\n  if (length(members) != sum(nzchar(names(members)))) {\n    stop(\"All members of a ggproto object must be named.\")\n  }\n\n  # R <3.1.2 will error when list2env() is given an empty list, so we need to\n  # check length. https://github.com/tidyverse/ggplot2/issues/1444\n  if (length(members) > 0) {\n    list2env(members, envir = e)\n  }\n\n  # Dynamically capture parent: this is necessary in order to avoid\n  # capturing the parent at package build time.\n  `_inherit` <- substitute(`_inherit`)\n  env <- parent.frame()\n  find_super <- function() {\n    eval(`_inherit`, env, NULL)\n  }\n\n  super <- find_super()\n  if (!is.null(super)) {\n    if (!is.ggproto(super)) {\n      stop(\"`_inherit` must be a ggproto object.\")\n    }\n    e$super <- find_super\n    class(e) <- c(`_class`, class(super))\n  } else {\n    class(e) <- c(`_class`, \"ggproto\", \"gg\")\n  }\n\n  e\n}\n\n\n#' @export\n#' @rdname ggproto\n#' @param parent,self Access parent class `parent` of object `self`.\nggproto_parent <- function(parent, self) {\n  structure(list(parent = parent, self = self), class = \"ggproto_parent\")\n}\n\n#' @param x An object to test.\n#' @export\n#' @rdname ggproto\nis.ggproto <- function(x) inherits(x, \"ggproto\")\n\nfetch_ggproto <- function(x, name) {\n  res <- NULL\n\n  val <- .subset2(x, name)\n  # The is.null check is an optimization for a common case; exists() also\n  # catches the case where the value exists but has a NULL value.\n  if (!is.null(val) || exists(name, envir = x, inherits = FALSE)) {\n    res <- val\n  } else {\n    # If not found here, recurse into super environments\n    super <- .subset2(x, \"super\")\n    if (is.null(super)) {\n      # no super class\n    } else if (is.function(super)) {\n      res <- fetch_ggproto(super(), name)\n    } else {\n      stop(\n        class(x)[[1]], \" was built with an incompatible version of ggproto.\\n\",\n        \"Please reinstall the package that provides this extension.\",\n        call. = FALSE\n      )\n    }\n  }\n\n  res\n}\n\n#' @importFrom utils .DollarNames\n#' @export\n.DollarNames.ggproto <- function(x, pattern = \"\") {\n  methods <- ls(envir = x)\n  if (\"super\" %in% methods) {\n    methods <- setdiff(methods, \"super\")\n    methods <- union(methods, Recall(x$super()))\n  }\n\n  if (identical(pattern, \"\")) {\n    methods\n  } else {\n    grep(pattern, methods, value = TRUE)\n  }\n\n}\n\n#' @export\n`$.ggproto` <- function(x, name) {\n  res <- fetch_ggproto(x, name)\n  if (!is.function(res)) {\n    return(res)\n  }\n\n  make_proto_method(x, res)\n}\n\n#' @export\n`$.ggproto_parent` <- function(x, name) {\n  res <- fetch_ggproto(.subset2(x, \"parent\"), name)\n  if (!is.function(res)) {\n    return(res)\n  }\n\n  make_proto_method(.subset2(x, \"self\"), res)\n}\n\nmake_proto_method <- function(self, f) {\n  args <- formals(f)\n  # is.null is a fast path for a common case; the %in% check is slower but also\n  # catches the case where there's a `self = NULL` argument.\n  has_self  <- !is.null(args[[\"self\"]]) || \"self\"  %in% names(args)\n\n  if (has_self) {\n    fun <- function(...) f(..., self = self)\n  } else {\n    fun <- function(...) f(...)\n  }\n\n  class(fun) <- \"ggproto_method\"\n  fun\n}\n\n#' @export\n`[[.ggproto` <- `$.ggproto`\n\n#' Convert a ggproto object to a list\n#'\n#' This will not include the object's `super` member.\n#'\n#' @param x A ggproto object to convert to a list.\n#' @param inherit If `TRUE` (the default), flatten all inherited items into\n#'   the returned list. If `FALSE`, do not include any inherited items.\n#' @inheritDotParams base::as.list.environment -x\n#' @export\n#' @keywords internal\nas.list.ggproto <- function(x, inherit = TRUE, ...) {\n  res <- list()\n\n  if (inherit) {\n    if (is.function(x$super)) {\n      res <- as.list(x$super())\n    }\n  }\n\n  current <- as.list.environment(x, ...)\n  res[names(current)] <- current\n  res$super <- NULL\n  res\n}\n\n\n#' Format or print a ggproto object\n#'\n#' If a ggproto object has a `$print` method, this will call that method.\n#' Otherwise, it will print out the members of the object, and optionally, the\n#' members of the inherited objects.\n#'\n#' @param x A ggproto object to print.\n#' @param flat If `TRUE` (the default), show a flattened list of all local\n#'   and inherited members. If `FALSE`, show the inheritance hierarchy.\n#' @param ... If the ggproto object has a `print` method, further arguments\n#'   will be passed to it. Otherwise, these arguments are unused.\n#'\n#' @export\n#' @examples\n#' Dog <- ggproto(\n#'   print = function(self, n) {\n#'     cat(\"Woof!\\n\")\n#'   }\n#'  )\n#' Dog\n#' cat(format(Dog), \"\\n\")\nprint.ggproto <- function(x, ..., flat = TRUE) {\n  if (is.function(x$print)) {\n    x$print(...)\n\n  } else {\n    cat(format(x, flat = flat), \"\\n\", sep = \"\")\n    invisible(x)\n  }\n}\n\n\n#' @export\n#' @rdname print.ggproto\nformat.ggproto <-  function(x, ..., flat = TRUE) {\n  classes_str <- function(obj) {\n    classes <- setdiff(class(obj), \"ggproto\")\n    if (length(classes) == 0)\n      return(\"\")\n    paste0(\": Class \", paste(classes, collapse = ', '))\n  }\n\n  # Get a flat list if requested\n  if (flat) {\n    objs <- as.list(x, inherit = TRUE)\n  } else {\n    objs <- x\n  }\n\n  str <- paste0(\n    \"<ggproto object\", classes_str(x), \">\\n\",\n    indent(object_summaries(objs, flat = flat), 4)\n  )\n\n  if (flat && is.function(x$super)) {\n    str <- paste0(\n      str, \"\\n\",\n      indent(\n        paste0(\"super: \", \" <ggproto object\", classes_str(x$super()), \">\"),\n        4\n      )\n    )\n  }\n\n  str\n}\n\n# Return a summary string of the items of a list or environment\n# x must be a list or environment\nobject_summaries <- function(x, exclude = NULL, flat = TRUE) {\n  if (length(x) == 0)\n    return(NULL)\n\n  if (is.list(x))\n    obj_names <- sort(names(x))\n  else if (is.environment(x))\n    obj_names <- ls(x, all.names = TRUE)\n\n  obj_names <- setdiff(obj_names, exclude)\n\n  values <- vapply(obj_names, function(name) {\n    obj <- x[[name]]\n    if (is.function(obj)) \"function\"\n    else if (is.ggproto(obj)) format(obj, flat = flat)\n    else if (is.environment(obj)) \"environment\"\n    else if (is.null(obj)) \"NULL\"\n    else if (is.atomic(obj)) trim(paste(as.character(obj), collapse = \" \"))\n    else paste(class(obj), collapse = \", \")\n  }, FUN.VALUE = character(1))\n\n  paste0(obj_names, \": \", values, sep = \"\", collapse = \"\\n\")\n}\n\n# Given a string, indent every line by some number of spaces.\n# The exception is to not add spaces after a trailing \\n.\nindent <- function(str, indent = 0) {\n  gsub(\"(\\\\n|^)(?!$)\",\n    paste0(\"\\\\1\", paste(rep(\" \", indent), collapse = \"\")),\n    str,\n    perl = TRUE\n  )\n}\n\n# Trim a string to n characters; if it's longer than n, add \" ...\" to the end\ntrim <- function(str, n = 60) {\n  if (nchar(str) > n) paste(substr(str, 1, 56), \"...\")\n  else str\n}\n\n#' @export\nprint.ggproto_method <- function(x, ...) {\n  cat(format(x), sep = \"\")\n}\n\n#' @export\nformat.ggproto_method <- function(x, ...) {\n\n  # Given a function, return a string from srcref if present. If not present,\n  # paste the deparsed lines of code together.\n  format_fun <- function(fn) {\n    srcref <- attr(fn, \"srcref\", exact = TRUE)\n    if (is.null(srcref))\n      return(paste(format(fn), collapse = \"\\n\"))\n\n    paste(as.character(srcref), collapse = \"\\n\")\n  }\n\n  x <- unclass(x)\n  paste0(\n    \"<ggproto method>\",\n    \"\\n  <Wrapper function>\\n    \", format_fun(x),\n    \"\\n\\n  <Inner function (f)>\\n    \", format_fun(environment(x)$f)\n  )\n}\n\n# proto2 TODO: better way of getting formals for self$draw\nggproto_formals <- function(x) formals(environment(x)$f)","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/ggproto.r"},{"filename":"ggplot2/R/geom-point.r","content":"#' Points\n#'\n#' The point geom is used to create scatterplots. The scatterplot is most\n#' useful for displaying the relationship between two continuous variables.\n#' It can be used to compare one continuous and one categorical variable, or\n#' two categorical variables, but a variation like [geom_jitter()],\n#' [geom_count()], or [geom_bin2d()] is usually more\n#' appropriate. A _bubblechart_ is a scatterplot with a third variable\n#' mapped to the size of points.\n#'\n#' @section Overplotting:\n#' The biggest potential problem with a scatterplot is overplotting: whenever\n#' you have more than a few points, points may be plotted on top of one\n#' another. This can severely distort the visual appearance of the plot.\n#' There is no one solution to this problem, but there are some techniques\n#' that can help. You can add additional information with\n#' [geom_smooth()], [geom_quantile()] or\n#' [geom_density_2d()]. If you have few unique `x` values,\n#' [geom_boxplot()] may also be useful.\n#'\n#' Alternatively, you can\n#' summarise the number of points at each location and display that in some\n#' way, using [geom_count()], [geom_hex()], or\n#' [geom_density2d()].\n#'\n#' Another technique is to make the points transparent (e.g.\n#' `geom_point(alpha = 0.05)`) or very small (e.g.\n#' `geom_point(shape = \".\")`).\n#'\n#' @eval rd_aesthetics(\"geom\", \"point\")\n#' @inheritParams layer\n#' @param na.rm If `FALSE`, the default, missing values are removed with\n#'   a warning. If `TRUE`, missing values are silently removed.\n#' @param ... Other arguments passed on to [layer()]. These are\n#'   often aesthetics, used to set an aesthetic to a fixed value, like\n#'   `colour = \"red\"` or `size = 3`. They may also be parameters\n#'   to the paired geom/stat.\n#' @inheritParams layer\n#' @export\n#' @examples\n#' p <- ggplot(mtcars, aes(wt, mpg))\n#' p + geom_point()\n#'\n#' # Add aesthetic mappings\n#' p + geom_point(aes(colour = factor(cyl)))\n#' p + geom_point(aes(shape = factor(cyl)))\n#' # A \"bubblechart\":\n#' p + geom_point(aes(size = qsec))\n#'\n#' # Set aesthetics to fixed value\n#' ggplot(mtcars, aes(wt, mpg)) + geom_point(colour = \"red\", size = 3)\n#'\n#' \\donttest{\n#' # Varying alpha is useful for large datasets\n#' d <- ggplot(diamonds, aes(carat, price))\n#' d + geom_point(alpha = 1/10)\n#' d + geom_point(alpha = 1/20)\n#' d + geom_point(alpha = 1/100)\n#' }\n#'\n#' # For shapes that have a border (like 21), you can colour the inside and\n#' # outside separately. Use the stroke aesthetic to modify the width of the\n#' # border\n#' ggplot(mtcars, aes(wt, mpg)) +\n#'   geom_point(shape = 21, colour = \"black\", fill = \"white\", size = 5, stroke = 5)\n#'\n#' \\donttest{\n#' # You can create interesting shapes by layering multiple points of\n#' # different sizes\n#' p <- ggplot(mtcars, aes(mpg, wt, shape = factor(cyl)))\n#' p + geom_point(aes(colour = factor(cyl)), size = 4) +\n#'   geom_point(colour = \"grey90\", size = 1.5)\n#' p + geom_point(colour = \"black\", size = 4.5) +\n#'   geom_point(colour = \"pink\", size = 4) +\n#'   geom_point(aes(shape = factor(cyl)))\n#'\n#' # geom_point warns when missing values have been dropped from the data set\n#' # and not plotted, you can turn this off by setting na.rm = TRUE\n#' mtcars2 <- transform(mtcars, mpg = ifelse(runif(32) < 0.2, NA, mpg))\n#' ggplot(mtcars2, aes(wt, mpg)) + geom_point()\n#' ggplot(mtcars2, aes(wt, mpg)) + geom_point(na.rm = TRUE)\n#' }\ngeom_point <- function(mapping = NULL, data = NULL,\n                       stat = \"identity\", position = \"identity\",\n                       ...,\n                       na.rm = FALSE,\n                       show.legend = NA,\n                       inherit.aes = TRUE) {\n  layer(\n    data = data,\n    mapping = mapping,\n    stat = stat,\n    geom = GeomPoint,\n    position = position,\n    show.legend = show.legend,\n    inherit.aes = inherit.aes,\n    params = list(\n      na.rm = na.rm,\n      ...\n    )\n  )\n}\n\n#' @rdname ggplot2-ggproto\n#' @format NULL\n#' @usage NULL\n#' @export\nGeomPoint <- ggproto(\"GeomPoint\", Geom,\n  required_aes = c(\"x\", \"y\"),\n  non_missing_aes = c(\"size\", \"shape\", \"colour\"),\n  default_aes = aes(\n    shape = 19, colour = \"black\", size = 1.5, fill = NA,\n    alpha = NA, stroke = 0.5\n  ),\n\n  draw_panel = function(data, panel_params, coord, na.rm = FALSE) {\n    if (is.character(data$shape)) {\n      data$shape <- translate_shape_string(data$shape)\n    }\n\n    coords <- coord$transform(data, panel_params)\n    ggname(\"geom_point\",\n      pointsGrob(\n        coords$x, coords$y,\n        pch = coords$shape,\n        gp = gpar(\n          col = alpha(coords$colour, coords$alpha),\n          fill = alpha(coords$fill, coords$alpha),\n          # Stroke is added around the outside of the point\n          fontsize = coords$size * .pt + coords$stroke * .stroke / 2,\n          lwd = coords$stroke * .stroke / 2\n        )\n      )\n    )\n  },\n\n  draw_key = draw_key_point\n)\n\ntranslate_shape_string <- function(shape_string) {\n  # strings of length 0 or 1 are interpreted as symbols by grid\n  if (nchar(shape_string[1]) <= 1) {\n    return(shape_string)\n  }\n\n  pch_table <- c(\n    \"square open\"           = 0,\n    \"circle open\"           = 1,\n    \"triangle open\"         = 2,\n    \"plus\"                  = 3,\n    \"cross\"                 = 4,\n    \"diamond open\"          = 5,\n    \"triangle down open\"    = 6,\n    \"square cross\"          = 7,\n    \"asterisk\"              = 8,\n    \"diamond plus\"          = 9,\n    \"circle plus\"           = 10,\n    \"star\"                  = 11,\n    \"square plus\"           = 12,\n    \"circle cross\"          = 13,\n    \"square triangle\"       = 14,\n    \"triangle square\"       = 14,\n    \"square\"                = 15,\n    \"circle small\"          = 16,\n    \"triangle\"              = 17,\n    \"diamond\"               = 18,\n    \"circle\"                = 19,\n    \"bullet\"                = 20,\n    \"circle filled\"         = 21,\n    \"square filled\"         = 22,\n    \"diamond filled\"        = 23,\n    \"triangle filled\"       = 24,\n    \"triangle down filled\"  = 25\n  )\n\n  shape_match <- charmatch(shape_string, names(pch_table))\n\n  invalid_strings <- is.na(shape_match)\n  nonunique_strings <- shape_match == 0\n\n  if (any(invalid_strings)) {\n    bad_string <- unique(shape_string[invalid_strings])\n    n_bad <- length(bad_string)\n\n    collapsed_names <- sprintf(\"\\n* '%s'\", bad_string[1:min(5, n_bad)])\n\n    more_problems <- if (n_bad > 5) {\n      sprintf(\"\\n* ... and %d more problem%s\", n_bad - 5, ifelse(n_bad > 6, \"s\", \"\"))\n    }\n\n    stop(\n      \"Can't find shape name:\",\n      collapsed_names,\n      more_problems,\n      call. = FALSE\n    )\n  }\n\n  if (any(nonunique_strings)) {\n    bad_string <- unique(shape_string[nonunique_strings])\n    n_bad <- length(bad_string)\n\n    n_matches <- vapply(\n      bad_string[1:min(5, n_bad)],\n      function(shape_string) sum(grepl(paste0(\"^\", shape_string), names(pch_table))),\n      integer(1)\n    )\n\n    collapsed_names <- sprintf(\n      \"\\n* '%s' partially matches %d shape names\",\n      bad_string[1:min(5, n_bad)], n_matches\n    )\n\n    more_problems <- if (n_bad > 5) {\n      sprintf(\"\\n* ... and %d more problem%s\", n_bad - 5, ifelse(n_bad > 6, \"s\", \"\"))\n    }\n\n    stop(\n      \"Shape names must be unambiguous:\",\n      collapsed_names,\n      more_problems,\n      call. = FALSE\n    )\n  }\n\n  unname(pch_table[shape_match])\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/geom-point.r"},{"filename":"ggplot2/R/geom-.r","content":"#' @include legend-draw.r\nNULL\n\n#' @section Geoms:\n#'\n#' All `geom_*` functions (like `geom_point`) return a layer that\n#' contains a `Geom*` object (like `GeomPoint`). The `Geom*`\n#' object is responsible for rendering the data in the plot.\n#'\n#' Each of the `Geom*` objects is a [ggproto()] object, descended\n#' from the top-level `Geom`, and each implements various methods and\n#' fields.\n#'\n#' Compared to `Stat` and `Position`, `Geom` is a little\n#' different because the execution of the setup and compute functions is\n#' split up. `setup_data` runs before position adjustments, and\n#' `draw_layer` is not run until render time, much later. This\n#' means there is no `setup_params` because it's hard to communicate\n#' the changes.\n#'\n#' To create a new type of Geom object, you typically will want to\n#' override one or more of the following:\n#'\n#'   - Either `draw_panel(self, data, panel_params, coord)` or\n#'     `draw_group(self, data, panel_params, coord)`. `draw_panel` is\n#'     called once per panel, `draw_group` is called once per group.\n#'\n#'     Use `draw_panel` if each row in the data represents a\n#'     single element. Use `draw_group` if each group represents\n#'     an element (e.g. a smooth, a violin).\n#'\n#'     `data` is a data frame of scaled aesthetics.\n#'\n#'     `panel_params` is a set of per-panel parameters for the\n#'     `coord`. Generally, you should consider `panel_params`\n#'     to be an opaque data structure that you pass along whenever you call\n#'     a coord method.\n#'\n#'     You must always call `coord$transform(data, panel_params)` to\n#'     get the (position) scaled data for plotting. To work with\n#'     non-linear coordinate systems, you typically need to convert into a\n#'     primitive geom (e.g. point, path or polygon), and then pass on to the\n#'     corresponding draw method for munching.\n#'\n#'     Must return a grob. Use [zeroGrob()] if there's nothing to\n#'     draw.\n#'   - `draw_key`: Renders a single legend key.\n#'   - `required_aes`: A character vector of aesthetics needed to\n#'     render the geom.\n#'   - `default_aes`: A list (generated by [aes()] of\n#'     default values for aesthetics.\n#'   - `setup_data`: Converts width and height to xmin and xmax,\n#'     and ymin and ymax values. It can potentially set other values as well.\n#' @rdname ggplot2-ggproto\n#' @format NULL\n#' @usage NULL\n#' @export\nGeom <- ggproto(\"Geom\",\n  required_aes = character(),\n  non_missing_aes = character(),\n  optional_aes = character(),\n\n  default_aes = aes(),\n\n  draw_key = draw_key_point,\n\n  handle_na = function(self, data, params) {\n    remove_missing(data, params$na.rm,\n      c(self$required_aes, self$non_missing_aes),\n      snake_class(self)\n    )\n  },\n\n  draw_layer = function(self, data, params, layout, coord) {\n    if (empty(data)) {\n      n <- if (is.factor(data$PANEL)) nlevels(data$PANEL) else 1L\n      return(rep(list(zeroGrob()), n))\n    }\n\n    # Trim off extra parameters\n    params <- params[intersect(names(params), self$parameters())]\n\n    args <- c(list(quote(data), quote(panel_params), quote(coord)), params)\n    lapply(split(data, data$PANEL), function(data) {\n      if (empty(data)) return(zeroGrob())\n\n      panel_params <- layout$panel_params[[data$PANEL[1]]]\n      do.call(self$draw_panel, args)\n    })\n  },\n\n  draw_panel = function(self, data, panel_params, coord, ...) {\n    groups <- split(data, factor(data$group))\n    grobs <- lapply(groups, function(group) {\n      self$draw_group(group, panel_params, coord, ...)\n    })\n\n    ggname(snake_class(self), gTree(\n      children = do.call(\"gList\", grobs)\n    ))\n  },\n\n  draw_group = function(self, data, panel_params, coord) {\n    stop(\"Not implemented\")\n  },\n\n  setup_data = function(data, params) data,\n\n  # Combine data with defaults and set aesthetics from parameters\n  use_defaults = function(self, data, params = list()) {\n    # Fill in missing aesthetics with their defaults\n    missing_aes <- setdiff(names(self$default_aes), names(data))\n\n    missing_eval <- lapply(self$default_aes[missing_aes], rlang::eval_tidy)\n    # Needed for geoms with defaults set to NULL (e.g. GeomSf)\n    missing_eval <- compact(missing_eval)\n\n    if (empty(data)) {\n      data <- as_gg_data_frame(missing_eval)\n    } else {\n      data[names(missing_eval)] <- missing_eval\n    }\n\n    # Override mappings with params\n    aes_params <- intersect(self$aesthetics(), names(params))\n    check_aesthetics(params[aes_params], nrow(data))\n    data[aes_params] <- params[aes_params]\n    data\n  },\n\n  # Most parameters for the geom are taken automatically from draw_panel() or\n  # draw_groups(). However, some additional parameters may be needed\n  # for setup_data() or handle_na(). These can not be imputed automatically,\n  # so the slightly hacky \"extra_params\" field is used instead. By\n  # default it contains `na.rm`\n  extra_params = c(\"na.rm\"),\n\n  parameters = function(self, extra = FALSE) {\n    # Look first in draw_panel. If it contains ... then look in draw groups\n    panel_args <- names(ggproto_formals(self$draw_panel))\n    group_args <- names(ggproto_formals(self$draw_group))\n    args <- if (\"...\" %in% panel_args) group_args else panel_args\n\n    # Remove arguments of defaults\n    args <- setdiff(args, names(ggproto_formals(Geom$draw_group)))\n\n    if (extra) {\n      args <- union(args, self$extra_params)\n    }\n    args\n  },\n\n  aesthetics = function(self) {\n    c(union(self$required_aes, names(self$default_aes)), self$optional_aes, \"group\")\n  }\n\n)\n\n\n#' Graphical units\n#'\n#' Multiply size in mm by these constants in order to convert to the units\n#' that grid uses internally for `lwd` and `fontsize`.\n#'\n#' @name graphical-units\n#' @keywords internal\n#' @aliases NULL\nNULL\n\n#' @export\n#' @rdname graphical-units\n.pt <- 72.27 / 25.4\n#' @export\n#' @rdname graphical-units\n.stroke <- 96 / 25.4\n\ncheck_aesthetics <- function(x, n) {\n  ns <- vapply(x, length, numeric(1))\n  good <- ns == 1L | ns == n\n\n  if (all(good)) {\n    return()\n  }\n\n  stop(\n    \"Aesthetics must be either length 1 or the same as the data (\", n, \"): \",\n    paste(names(which(!good)), collapse = \", \"),\n    call. = FALSE\n  )\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/geom-.r"},{"filename":"ggplot2/R/layer.r","content":"#' Create a new layer\n#'\n#' A layer is a combination of data, stat and geom with a potential position\n#' adjustment. Usually layers are created using `geom_*` or `stat_*`\n#' calls but it can also be created directly using this function.\n#'\n#' @export\n#' @inheritParams geom_point\n#' @param mapping Set of aesthetic mappings created by [aes()] or\n#'   [aes_()]. If specified and `inherit.aes = TRUE` (the\n#'   default), it is combined with the default mapping at the top level of the\n#'   plot. You must supply `mapping` if there is no plot mapping.\n#' @param data The data to be displayed in this layer. There are three\n#'    options:\n#'\n#'    If `NULL`, the default, the data is inherited from the plot\n#'    data as specified in the call to [ggplot()].\n#'\n#'    A `data.frame`, or other object, will override the plot\n#'    data. All objects will be fortified to produce a data frame. See\n#'    [fortify()] for which variables will be created.\n#'\n#'    A `function` will be called with a single argument,\n#'    the plot data. The return value must be a `data.frame`, and\n#'    will be used as the layer data.\n#' @param geom The geometric object to use display the data\n#' @param stat The statistical transformation to use on the data for this\n#'    layer, as a string.\n#' @param position Position adjustment, either as a string, or the result of\n#'  a call to a position adjustment function.\n#' @param show.legend logical. Should this layer be included in the legends?\n#'   `NA`, the default, includes if any aesthetics are mapped.\n#'   `FALSE` never includes, and `TRUE` always includes.\n#'   It can also be a named logical vector to finely select the aesthetics to\n#'   display.\n#' @param inherit.aes If `FALSE`, overrides the default aesthetics,\n#'   rather than combining with them. This is most useful for helper functions\n#'   that define both data and aesthetics and shouldn't inherit behaviour from\n#'   the default plot specification, e.g. [borders()].\n#' @param check.aes,check.param If `TRUE`, the default, will check that\n#'   supplied parameters and aesthetics are understood by the `geom` or\n#'   `stat`. Use `FALSE` to suppress the checks.\n#' @param params Additional parameters to the `geom` and `stat`.\n#' @param layer_class The type of layer object to be constructued. This allows\n#'   the creation of custom layers. Can usually be left at its default.\n#' @keywords internal\n#' @examples\n#' # geom calls are just a short cut for layer\n#' ggplot(mpg, aes(displ, hwy)) + geom_point()\n#' # shortcut for\n#' ggplot(mpg, aes(displ, hwy)) +\n#'   layer(geom = \"point\", stat = \"identity\", position = \"identity\",\n#'     params = list(na.rm = FALSE)\n#'   )\n#'\n#' # use a function as data to plot a subset of global data\n#' ggplot(mpg, aes(displ, hwy)) +\n#'   layer(geom = \"point\", stat = \"identity\", position = \"identity\",\n#'     data = head, params = list(na.rm = FALSE)\n#'   )\n#'\nlayer <- function(geom = NULL, stat = NULL,\n                  data = NULL, mapping = NULL,\n                  position = NULL, params = list(),\n                  inherit.aes = TRUE, check.aes = TRUE, check.param = TRUE,\n                  show.legend = NA, layer_class = Layer) {\n  if (is.null(geom))\n    stop(\"Attempted to create layer with no geom.\", call. = FALSE)\n  if (is.null(stat))\n    stop(\"Attempted to create layer with no stat.\", call. = FALSE)\n  if (is.null(position))\n    stop(\"Attempted to create layer with no position.\", call. = FALSE)\n\n  # Handle show_guide/show.legend\n  if (!is.null(params$show_guide)) {\n    warning(\"`show_guide` has been deprecated. Please use `show.legend` instead.\",\n      call. = FALSE)\n    show.legend <- params$show_guide\n    params$show_guide <- NULL\n  }\n  if (!is.logical(show.legend)) {\n    warning(\"`show.legend` must be a logical vector.\", call. = FALSE)\n    show.legend <- FALSE\n  }\n\n  # we validate mapping before data because in geoms and stats\n  # the mapping is listed before the data argument; this causes\n  # less confusing error messages when layers are accidentally\n  # piped into each other\n  if (!is.null(mapping)) {\n    mapping <- validate_mapping(mapping)\n  }\n\n  data <- fortify(data)\n\n  geom <- check_subclass(geom, \"Geom\", env = parent.frame())\n  stat <- check_subclass(stat, \"Stat\", env = parent.frame())\n  position <- check_subclass(position, \"Position\", env = parent.frame())\n\n  # Special case for na.rm parameter needed by all layers\n  if (is.null(params$na.rm)) {\n    params$na.rm <- FALSE\n  }\n\n  # Split up params between aesthetics, geom, and stat\n  params <- rename_aes(params)\n  aes_params  <- params[intersect(names(params), geom$aesthetics())]\n  geom_params <- params[intersect(names(params), geom$parameters(TRUE))]\n  stat_params <- params[intersect(names(params), stat$parameters(TRUE))]\n\n  all <- c(geom$parameters(TRUE), stat$parameters(TRUE), geom$aesthetics())\n\n  # Warn about extra params and aesthetics\n  extra_param <- setdiff(names(params), all)\n  if (check.param && length(extra_param) > 0) {\n    warning(\n      \"Ignoring unknown parameters: \", paste(extra_param, collapse = \", \"),\n      call. = FALSE,\n      immediate. = TRUE\n    )\n  }\n\n  extra_aes <- setdiff(\n    mapped_aesthetics(mapping),\n    c(geom$aesthetics(), stat$aesthetics())\n  )\n  if (check.aes && length(extra_aes) > 0) {\n    warning(\n      \"Ignoring unknown aesthetics: \", paste(extra_aes, collapse = \", \"),\n      call. = FALSE,\n      immediate. = TRUE\n    )\n  }\n\n  ggproto(\"LayerInstance\", layer_class,\n    geom = geom,\n    geom_params = geom_params,\n    stat = stat,\n    stat_params = stat_params,\n    data = data,\n    mapping = mapping,\n    aes_params = aes_params,\n    position = position,\n    inherit.aes = inherit.aes,\n    show.legend = show.legend\n  )\n}\n\nvalidate_mapping <- function(mapping) {\n  if (!inherits(mapping, \"uneval\")) {\n    msg <- paste0(\"`mapping` must be created by `aes()`\")\n    if (inherits(mapping, \"ggplot\")) {\n      msg <- paste0(\n        msg, \"\\n\",\n        \"Did you use %>% instead of +?\"\n      )\n    }\n\n    stop(msg, call. = FALSE)\n  }\n\n  # For backward compatibility with pre-tidy-eval layers\n  new_aes(mapping)\n}\n\nLayer <- ggproto(\"Layer\", NULL,\n  geom = NULL,\n  geom_params = NULL,\n  stat = NULL,\n  stat_params = NULL,\n  data = NULL,\n  aes_params = NULL,\n  mapping = NULL,\n  position = NULL,\n  inherit.aes = FALSE,\n\n  print = function(self) {\n    if (!is.null(self$mapping)) {\n      cat(\"mapping:\", clist(self$mapping), \"\\n\")\n    }\n    cat(snakeize(class(self$geom)[[1]]), \": \", clist(self$geom_params), \"\\n\",\n      sep = \"\")\n    cat(snakeize(class(self$stat)[[1]]), \": \", clist(self$stat_params), \"\\n\",\n      sep = \"\")\n    cat(snakeize(class(self$position)[[1]]), \"\\n\")\n  },\n\n  layer_data = function(self, plot_data) {\n    if (is.waive(self$data)) {\n      plot_data\n    } else if (is.function(self$data)) {\n      data <- self$data(plot_data)\n      if (!is.data.frame(data)) {\n        stop(\"Data function must return a data.frame\", call. = FALSE)\n      }\n      data\n    } else {\n      self$data\n    }\n  },\n\n  # hook to allow a layer access to the final layer data\n  # in input form and to global plot info\n  setup_layer = function(self, data, plot) {\n    data\n  },\n\n  compute_aesthetics = function(self, data, plot) {\n    # For annotation geoms, it is useful to be able to ignore the default aes\n    if (self$inherit.aes) {\n      aesthetics <- defaults(self$mapping, plot$mapping)\n    } else {\n      aesthetics <- self$mapping\n    }\n\n    # Drop aesthetics that are set or calculated\n    set <- names(aesthetics) %in% names(self$aes_params)\n    calculated <- is_calculated_aes(aesthetics)\n    aesthetics <- aesthetics[!set & !calculated]\n\n    # Override grouping if set in layer\n    if (!is.null(self$geom_params$group)) {\n      aesthetics[[\"group\"]] <- self$aes_params$group\n    }\n\n    scales_add_defaults(plot$scales, data, aesthetics, plot$plot_env)\n\n    # Evaluate and check aesthetics\n    evaled <- lapply(aesthetics, rlang::eval_tidy, data = data)\n    evaled <- compact(evaled)\n\n    n <- nrow(data)\n    if (n == 0) {\n      # No data, so look at longest evaluated aesthetic\n      if (length(evaled) == 0) {\n        n <- 0\n      } else {\n        n <- max(vapply(evaled, length, integer(1)))\n      }\n    }\n    check_aesthetics(evaled, n)\n\n    # Set special group and panel vars\n    if (empty(data) && n > 0) {\n      evaled$PANEL <- 1\n    } else {\n      evaled$PANEL <- data$PANEL\n    }\n    evaled <- lapply(evaled, unname)\n    evaled <- as_gg_data_frame(evaled)\n    evaled <- add_group(evaled)\n    evaled\n  },\n\n  compute_statistic = function(self, data, layout) {\n    if (empty(data))\n      return(new_data_frame())\n\n    params <- self$stat$setup_params(data, self$stat_params)\n    data <- self$stat$setup_data(data, params)\n    self$stat$compute_layer(data, params, layout)\n  },\n\n  map_statistic = function(self, data, plot) {\n    if (empty(data)) return(new_data_frame())\n\n    # Assemble aesthetics from layer, plot and stat mappings\n    aesthetics <- self$mapping\n    if (self$inherit.aes) {\n      aesthetics <- defaults(aesthetics, plot$mapping)\n    }\n    aesthetics <- defaults(aesthetics, self$stat$default_aes)\n    aesthetics <- compact(aesthetics)\n\n    new <- strip_dots(aesthetics[is_calculated_aes(aesthetics)])\n    if (length(new) == 0) return(data)\n\n    # Add map stat output to aesthetics\n    env <- new.env(parent = baseenv())\n    env$stat <- stat\n\n    stat_data <- new_data_frame(lapply(new, rlang::eval_tidy, data, env))\n    names(stat_data) <- names(new)\n\n    # Add any new scales, if needed\n    scales_add_defaults(plot$scales, data, new, plot$plot_env)\n    # Transform the values, if the scale say it's ok\n    # (see stat_spoke for one exception)\n    if (self$stat$retransform) {\n      stat_data <- scales_transform_df(plot$scales, stat_data)\n    }\n\n    cunion(stat_data, data)\n  },\n\n  compute_geom_1 = function(self, data) {\n    if (empty(data)) return(new_data_frame())\n\n    check_required_aesthetics(\n      self$geom$required_aes,\n      c(names(data), names(self$aes_params)),\n      snake_class(self$geom)\n    )\n\n    self$geom$setup_data(data, c(self$geom_params, self$aes_params))\n  },\n\n  compute_position = function(self, data, layout) {\n    if (empty(data)) return(new_data_frame())\n\n    params <- self$position$setup_params(data)\n    data <- self$position$setup_data(data, params)\n\n    self$position$compute_layer(data, params, layout)\n  },\n\n  compute_geom_2 = function(self, data) {\n    # Combine aesthetics, defaults, & params\n    if (empty(data)) return(data)\n\n    self$geom$use_defaults(data, self$aes_params)\n  },\n\n  finish_statistics = function(self, data) {\n    self$stat$finish_layer(data, self$stat_params)\n  },\n\n  draw_geom = function(self, data, layout) {\n    if (empty(data)) {\n      n <- nrow(layout$layout)\n      return(rep(list(zeroGrob()), n))\n    }\n\n    data <- self$geom$handle_na(data, self$geom_params)\n    self$geom$draw_layer(data, self$geom_params, layout, layout$coord)\n  }\n)\n\nis.layer <- function(x) inherits(x, \"Layer\")\n\n\n\ncheck_subclass <- function(x, subclass,\n                           argname = to_lower_ascii(subclass),\n                           env = parent.frame()) {\n  if (inherits(x, subclass)) {\n    x\n  } else if (is.character(x) && length(x) == 1) {\n    name <- paste0(subclass, camelize(x, first = TRUE))\n    obj <- find_global(name, env = env)\n\n    if (is.null(obj) || !inherits(obj, subclass)) {\n      stop(\"Can't find `\", argname, \"` called \\\"\", x, \"\\\"\", call. = FALSE)\n    } else {\n      obj\n    }\n  } else {\n    stop(\n      \"`\", argname, \"` must be either a string or a \", subclass, \" object, \",\n      \"not \", obj_desc(x),\n      call. = FALSE\n    )\n  }\n}\n\nobj_desc <- function(x) {\n  if (isS4(x)) {\n    paste0(\"an S4 object with class \", class(x)[[1]])\n  } else if (is.object(x)) {\n    if (is.data.frame(x)) {\n      \"a data frame\"\n    } else if (is.factor(x)) {\n      \"a factor\"\n    } else {\n      paste0(\"an S3 object with class \", paste(class(x), collapse = \"/\"))\n    }\n  } else {\n    switch(typeof(x),\n      \"NULL\" = \"a NULL\",\n      character = \"a character vector\",\n      integer = \"an integer vector\",\n      logical = \"a logical vector\",\n      double = \"a numeric vector\",\n      list = \"a list\",\n      closure = \"a function\",\n      paste0(\"a base object of type\", typeof(x))\n    )\n  }\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/layer.r"},{"filename":"ggplot2/R/plot-build.r","content":"#' Build ggplot for rendering.\n#'\n#' `ggplot_build()` takes the plot object, and performs all steps necessary\n#' to produce an object that can be rendered.  This function outputs two pieces:\n#' a list of data frames (one for each layer), and a panel object, which\n#' contain all information about axis limits, breaks etc.\n#'\n#' `layer_data()`, `layer_grob()`, and `layer_scales()` are helper\n#' functions that return the data, grob, or scales associated with a given\n#' layer. These are useful for tests.\n#'\n#' @param plot ggplot object\n#' @param i An integer. In `layer_data()`, the data to return (in the order added to the\n#'   plot). In `layer_grob()`, the grob to return (in the order added to the\n#'   plot). In `layer_scales()`, the row of a facet to return scales for.\n#' @param j An integer. In `layer_scales()`, the column of a facet to return\n#'   scales for.\n#' @seealso [print.ggplot()] and [benchplot()] for\n#'  functions that contain the complete set of steps for generating\n#'  a ggplot2 plot.\n#' @keywords internal\n#' @export\nggplot_build <- function(plot) {\n  UseMethod('ggplot_build')\n}\n\n#' @export\nggplot_build.ggplot <- function(plot) {\n  plot <- plot_clone(plot)\n  if (length(plot$layers) == 0) {\n    plot <- plot + geom_blank()\n  }\n\n  layers <- plot$layers\n  layer_data <- lapply(layers, function(y) y$layer_data(plot$data))\n\n  scales <- plot$scales\n  # Apply function to layer and matching data\n  by_layer <- function(f) {\n    out <- vector(\"list\", length(data))\n    for (i in seq_along(data)) {\n      out[[i]] <- f(l = layers[[i]], d = data[[i]])\n    }\n    out\n  }\n\n  # Allow all layers to make any final adjustments based\n  # on raw input data and plot info\n  data <- layer_data\n  data <- by_layer(function(l, d) l$setup_layer(d, plot))\n\n  # Initialise panels, add extra data for margins & missing faceting\n  # variables, and add on a PANEL variable to data\n  layout <- create_layout(plot$facet, plot$coordinates)\n  data <- layout$setup(data, plot$data, plot$plot_env)\n\n  # Compute aesthetics to produce data with generalised variable names\n  data <- by_layer(function(l, d) l$compute_aesthetics(d, plot))\n\n  # Transform all scales\n  data <- lapply(data, scales_transform_df, scales = scales)\n\n  # Map and train positions so that statistics have access to ranges\n  # and all positions are numeric\n  scale_x <- function() scales$get_scales(\"x\")\n  scale_y <- function() scales$get_scales(\"y\")\n\n  layout$train_position(data, scale_x(), scale_y())\n  data <- layout$map_position(data)\n\n  # Apply and map statistics\n  data <- by_layer(function(l, d) l$compute_statistic(d, layout))\n  data <- by_layer(function(l, d) l$map_statistic(d, plot))\n\n  # Make sure missing (but required) aesthetics are added\n  scales_add_missing(plot, c(\"x\", \"y\"), plot$plot_env)\n\n  # Reparameterise geoms from (e.g.) y and width to ymin and ymax\n  data <- by_layer(function(l, d) l$compute_geom_1(d))\n\n  # Apply position adjustments\n  data <- by_layer(function(l, d) l$compute_position(d, layout))\n\n  # Reset position scales, then re-train and map.  This ensures that facets\n  # have control over the range of a plot: is it generated from what is\n  # displayed, or does it include the range of underlying data\n  layout$reset_scales()\n  layout$train_position(data, scale_x(), scale_y())\n  layout$setup_panel_params()\n  data <- layout$map_position(data)\n\n  # Train and map non-position scales\n  npscales <- scales$non_position_scales()\n  if (npscales$n() > 0) {\n    lapply(data, scales_train_df, scales = npscales)\n    data <- lapply(data, scales_map_df, scales = npscales)\n  }\n\n  # Fill in defaults etc.\n  data <- by_layer(function(l, d) l$compute_geom_2(d))\n\n  # Let layer stat have a final say before rendering\n  data <- by_layer(function(l, d) l$finish_statistics(d))\n\n  # Let Layout modify data before rendering\n  data <- layout$finish_data(data)\n\n  structure(\n    list(data = data, layout = layout, plot = plot),\n    class = \"ggplot_built\"\n  )\n}\n\n#' @export\n#' @rdname ggplot_build\nlayer_data <- function(plot, i = 1L) {\n  ggplot_build(plot)$data[[i]]\n}\n\n#' @export\n#' @rdname ggplot_build\nlayer_scales <- function(plot, i = 1L, j = 1L) {\n  b <- ggplot_build(plot)\n\n  layout <- b$layout$layout\n  selected <- layout[layout$ROW == i & layout$COL == j, , drop = FALSE]\n\n  list(\n    x = b$layout$panel_scales_x[[selected$SCALE_X]],\n    y = b$layout$panel_scales_y[[selected$SCALE_Y]]\n  )\n}\n\n#' @export\n#' @rdname ggplot_build\nlayer_grob <- function(plot, i = 1L) {\n  b <- ggplot_build(plot)\n\n  b$plot$layers[[i]]$draw_geom(b$data[[i]], b$layout)\n}\n\n#' Build a plot with all the usual bits and pieces.\n#'\n#' This function builds all grobs necessary for displaying the plot, and\n#' stores them in a special data structure called a [gtable()].\n#' This object is amenable to programmatic manipulation, should you want\n#' to (e.g.) make the legend box 2 cm wide, or combine multiple plots into\n#' a single display, preserving aspect ratios across the plots.\n#'\n#' @seealso [print.ggplot()] and [benchplot()] for\n#'  for functions that contain the complete set of steps for generating\n#'  a ggplot2 plot.\n#' @return a [gtable()] object\n#' @keywords internal\n#' @param data plot data generated by [ggplot_build()]\n#' @export\nggplot_gtable <- function(data) {\n  UseMethod('ggplot_gtable')\n}\n\n#' @export\nggplot_gtable.ggplot_built <- function(data) {\n  plot <- data$plot\n  layout <- data$layout\n  data <- data$data\n  theme <- plot_theme(plot)\n\n  geom_grobs <- Map(function(l, d) l$draw_geom(d, layout), plot$layers, data)\n  plot_table <- layout$render(geom_grobs, data, theme, plot$labels)\n\n  # Legends\n  position <- theme$legend.position %||% \"right\"\n  if (length(position) == 2) {\n    position <- \"manual\"\n  }\n\n  legend_box <- if (position != \"none\") {\n    build_guides(plot$scales, plot$layers, plot$mapping, position, theme, plot$guides, plot$labels)\n  } else {\n    zeroGrob()\n  }\n\n  if (is.zero(legend_box)) {\n    position <- \"none\"\n  } else {\n    # these are a bad hack, since it modifies the contents of viewpoint directly...\n    legend_width  <- gtable_width(legend_box)\n    legend_height <- gtable_height(legend_box)\n\n    # Set the justification of the legend box\n    # First value is xjust, second value is yjust\n    just <- valid.just(theme$legend.justification)\n    xjust <- just[1]\n    yjust <- just[2]\n\n    if (position == \"manual\") {\n      xpos <- theme$legend.position[1]\n      ypos <- theme$legend.position[2]\n\n      # x and y are specified via theme$legend.position (i.e., coords)\n      legend_box <- editGrob(legend_box,\n        vp = viewport(x = xpos, y = ypos, just = c(xjust, yjust),\n          height = legend_height, width = legend_width))\n    } else {\n      # x and y are adjusted using justification of legend box (i.e., theme$legend.justification)\n      legend_box <- editGrob(legend_box,\n        vp = viewport(x = xjust, y = yjust, just = c(xjust, yjust)))\n      legend_box <- gtable_add_rows(legend_box, unit(yjust, 'null'))\n      legend_box <- gtable_add_rows(legend_box, unit(1 - yjust, 'null'), 0)\n      legend_box <- gtable_add_cols(legend_box, unit(xjust, 'null'), 0)\n      legend_box <- gtable_add_cols(legend_box, unit(1 - xjust, 'null'))\n    }\n  }\n\n  panel_dim <-  find_panel(plot_table)\n  # for align-to-device, use this:\n  # panel_dim <-  summarise(plot_table$layout, t = min(t), r = max(r), b = max(b), l = min(l))\n\n  theme$legend.box.spacing <- theme$legend.box.spacing %||% unit(0.2, 'cm')\n  if (position == \"left\") {\n    plot_table <- gtable_add_cols(plot_table, theme$legend.box.spacing, pos = 0)\n    plot_table <- gtable_add_cols(plot_table, legend_width, pos = 0)\n    plot_table <- gtable_add_grob(plot_table, legend_box, clip = \"off\",\n      t = panel_dim$t, b = panel_dim$b, l = 1, r = 1, name = \"guide-box\")\n  } else if (position == \"right\") {\n    plot_table <- gtable_add_cols(plot_table, theme$legend.box.spacing, pos = -1)\n    plot_table <- gtable_add_cols(plot_table, legend_width, pos = -1)\n    plot_table <- gtable_add_grob(plot_table, legend_box, clip = \"off\",\n      t = panel_dim$t, b = panel_dim$b, l = -1, r = -1, name = \"guide-box\")\n  } else if (position == \"bottom\") {\n    plot_table <- gtable_add_rows(plot_table, theme$legend.box.spacing, pos = -1)\n    plot_table <- gtable_add_rows(plot_table, legend_height, pos = -1)\n    plot_table <- gtable_add_grob(plot_table, legend_box, clip = \"off\",\n      t = -1, b = -1, l = panel_dim$l, r = panel_dim$r, name = \"guide-box\")\n  } else if (position == \"top\") {\n    plot_table <- gtable_add_rows(plot_table, theme$legend.box.spacing, pos = 0)\n    plot_table <- gtable_add_rows(plot_table, legend_height, pos = 0)\n    plot_table <- gtable_add_grob(plot_table, legend_box, clip = \"off\",\n      t = 1, b = 1, l = panel_dim$l, r = panel_dim$r, name = \"guide-box\")\n  } else if (position == \"manual\") {\n    # should guide box expand whole region or region without margin?\n    plot_table <- gtable_add_grob(plot_table, legend_box,\n      t = panel_dim$t, b = panel_dim$b, l = panel_dim$l, r = panel_dim$r,\n      clip = \"off\", name = \"guide-box\")\n  }\n\n  # Title\n  title <- element_render(theme, \"plot.title\", plot$labels$title, margin_y = TRUE)\n  title_height <- grobHeight(title)\n\n  # Subtitle\n  subtitle <- element_render(theme, \"plot.subtitle\", plot$labels$subtitle, margin_y = TRUE)\n  subtitle_height <- grobHeight(subtitle)\n\n  # Tag\n  tag <- element_render(theme, \"plot.tag\", plot$labels$tag, margin_y = TRUE, margin_x = TRUE)\n  tag_height <- grobHeight(tag)\n  tag_width <- grobWidth(tag)\n\n  # whole plot annotation\n  caption <- element_render(theme, \"plot.caption\", plot$labels$caption, margin_y = TRUE)\n  caption_height <- grobHeight(caption)\n\n  pans <- plot_table$layout[grepl(\"^panel\", plot_table$layout$name), ,\n    drop = FALSE]\n\n  plot_table <- gtable_add_rows(plot_table, subtitle_height, pos = 0)\n  plot_table <- gtable_add_grob(plot_table, subtitle, name = \"subtitle\",\n    t = 1, b = 1, l = min(pans$l), r = max(pans$r), clip = \"off\")\n\n  plot_table <- gtable_add_rows(plot_table, title_height, pos = 0)\n  plot_table <- gtable_add_grob(plot_table, title, name = \"title\",\n    t = 1, b = 1, l = min(pans$l), r = max(pans$r), clip = \"off\")\n\n  plot_table <- gtable_add_rows(plot_table, caption_height, pos = -1)\n  plot_table <- gtable_add_grob(plot_table, caption, name = \"caption\",\n    t = -1, b = -1, l = min(pans$l), r = max(pans$r), clip = \"off\")\n\n  plot_table <- gtable_add_rows(plot_table, unit(0, 'pt'), pos = 0)\n  plot_table <- gtable_add_cols(plot_table, unit(0, 'pt'), pos = 0)\n  plot_table <- gtable_add_rows(plot_table, unit(0, 'pt'), pos = -1)\n  plot_table <- gtable_add_cols(plot_table, unit(0, 'pt'), pos = -1)\n\n  tag_pos <- theme$plot.tag.position %||% \"topleft\"\n  if (length(tag_pos) == 2) tag_pos <- \"manual\"\n  valid_pos <- c(\"topleft\", \"top\", \"topright\", \"left\", \"right\", \"bottomleft\",\n                 \"bottom\", \"bottomright\")\n\n  if (!(tag_pos == \"manual\" || tag_pos %in% valid_pos)) {\n    stop(\"plot.tag.position should be a coordinate or one of \",\n         paste(valid_pos, collapse = ', '), call. = FALSE)\n  }\n\n  if (tag_pos == \"manual\") {\n    xpos <- theme$plot.tag.position[1]\n    ypos <- theme$plot.tag.position[2]\n    tag_parent <- justify_grobs(tag, x = xpos, y = ypos,\n                                hjust = theme$plot.tag$hjust,\n                                vjust = theme$plot.tag$vjust,\n                                int_angle = theme$plot.tag$angle,\n                                debug = theme$plot.tag$debug)\n    plot_table <- gtable_add_grob(plot_table, tag_parent, name = \"tag\", t = 1,\n                                  b = nrow(plot_table), l = 1,\n                                  r = ncol(plot_table), clip = \"off\")\n  } else {\n    # Widths and heights are reassembled below instead of assigning into them\n    # in order to avoid bug in grid 3.2 and below.\n    if (tag_pos == \"topleft\") {\n      plot_table$widths <- unit.c(tag_width, plot_table$widths[-1])\n      plot_table$heights <- unit.c(tag_height, plot_table$heights[-1])\n      plot_table <- gtable_add_grob(plot_table, tag, name = \"tag\",\n                                    t = 1, l = 1, clip = \"off\")\n    } else if (tag_pos == \"top\") {\n      plot_table$heights <- unit.c(tag_height, plot_table$heights[-1])\n      plot_table <- gtable_add_grob(plot_table, tag, name = \"tag\",\n                                    t = 1, l = 1, r = ncol(plot_table),\n                                    clip = \"off\")\n    } else if (tag_pos == \"topright\") {\n      plot_table$widths <- unit.c(plot_table$widths[-ncol(plot_table)], tag_width)\n      plot_table$heights <- unit.c(tag_height, plot_table$heights[-1])\n      plot_table <- gtable_add_grob(plot_table, tag, name = \"tag\",\n                                    t = 1, l = ncol(plot_table), clip = \"off\")\n    } else if (tag_pos == \"left\") {\n      plot_table$widths <- unit.c(tag_width, plot_table$widths[-1])\n      plot_table <- gtable_add_grob(plot_table, tag, name = \"tag\",\n                                    t = 1, b = nrow(plot_table), l = 1,\n                                    clip = \"off\")\n    } else if (tag_pos == \"right\") {\n      plot_table$widths <- unit.c(plot_table$widths[-ncol(plot_table)], tag_width)\n      plot_table <- gtable_add_grob(plot_table, tag, name = \"tag\",\n                                    t = 1, b = nrow(plot_table), l = ncol(plot_table),\n                                    clip = \"off\")\n    } else if (tag_pos == \"bottomleft\") {\n      plot_table$widths <- unit.c(tag_width, plot_table$widths[-1])\n      plot_table$heights <- unit.c(plot_table$heights[-nrow(plot_table)], tag_height)\n      plot_table <- gtable_add_grob(plot_table, tag, name = \"tag\",\n                                    t = nrow(plot_table), l = 1, clip = \"off\")\n    } else if (tag_pos == \"bottom\") {\n      plot_table$heights <- unit.c(plot_table$heights[-nrow(plot_table)], tag_height)\n      plot_table <- gtable_add_grob(plot_table, tag, name = \"tag\",\n                                    t = nrow(plot_table), l = 1, r = ncol(plot_table), clip = \"off\")\n    } else if (tag_pos == \"bottomright\") {\n      plot_table$widths <- unit.c(plot_table$widths[-ncol(plot_table)], tag_width)\n      plot_table$heights <- unit.c(plot_table$heights[-nrow(plot_table)], tag_height)\n      plot_table <- gtable_add_grob(plot_table, tag, name = \"tag\",\n                                    t = nrow(plot_table), l = ncol(plot_table), clip = \"off\")\n    }\n  }\n\n  # Margins\n  plot_table <- gtable_add_rows(plot_table, theme$plot.margin[1], pos = 0)\n  plot_table <- gtable_add_cols(plot_table, theme$plot.margin[2])\n  plot_table <- gtable_add_rows(plot_table, theme$plot.margin[3])\n  plot_table <- gtable_add_cols(plot_table, theme$plot.margin[4], pos = 0)\n\n  if (inherits(theme$plot.background, \"element\")) {\n    plot_table <- gtable_add_grob(plot_table,\n      element_render(theme, \"plot.background\"),\n      t = 1, l = 1, b = -1, r = -1, name = \"background\", z = -Inf)\n    plot_table$layout <- plot_table$layout[c(nrow(plot_table$layout), 1:(nrow(plot_table$layout) - 1)),]\n    plot_table$grobs <- plot_table$grobs[c(nrow(plot_table$layout), 1:(nrow(plot_table$layout) - 1))]\n  }\n  plot_table\n}\n\n#' Generate a ggplot2 plot grob.\n#'\n#' @param x ggplot2 object\n#' @keywords internal\n#' @export\nggplotGrob <- function(x) {\n  ggplot_gtable(ggplot_build(x))\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/plot-build.r"},{"filename":"grid/R/grob.R","content":"#  File src/library/grid/R/grob.R\n#  Part of the R package, https://www.R-project.org\n#\n#  Copyright (C) 1995-2016 The R Core Team\n#\n#  This program is free software; you can redistribute it and/or modify\n#  it under the terms of the GNU General Public License as published by\n#  the Free Software Foundation; either version 2 of the License, or\n#  (at your option) any later version.\n#\n#  This program is distributed in the hope that it will be useful,\n#  but WITHOUT ANY WARRANTY; without even the implied warranty of\n#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#  GNU General Public License for more details.\n#\n#  A copy of the GNU General Public License is available at\n#  https://www.R-project.org/Licenses/\n\n######################################\n# Grid graphical objects\n#######################################\n\n################\n# CLASS DEFN\n################\n# A \"virtual\" class \"gDesc\" underlies both \"grob\" and \"gPath\"\n\ninitGrobAutoName <- function() {\n  index <- 0\n  function(prefix=\"GRID\", suffix=\"GROB\") {\n    index <<- index + 1\n    paste(prefix, suffix, index, sep=\".\")\n  }\n}\n\ngrobAutoName <- initGrobAutoName()\n\n# Function for user to call to get \"autogenerated\" grob name\ngrobName <- function(grob=NULL, prefix=\"GRID\") {\n    if (is.null(grob))\n        grobAutoName(prefix)\n    else {\n        if (!is.grob(grob))\n            stop(\"invalid 'grob' argument\")\n        else\n            grobAutoName(prefix, class(grob)[1L])\n    }\n}\n\n################\n# CLASS DEFN\n################\n# A grob has a name, a gp, and a vp\n# grob inherits from gDesc\ncheckvpSlot <- function(vp) {\n  # vp can be a viewport, a viewport name, or a viewport path\n  if (!is.null(vp))\n    if (!inherits(vp, \"viewport\") &&\n        !inherits(vp, \"vpPath\") &&\n        !is.character(vp))\n      stop(\"invalid 'vp' slot\")\n  # For interactive use, allow user to specify\n  # vpPath directly (i.e., w/o calling vpPath)\n  if (is.character(vp))\n    vp <- vpPath(vp)\n  vp\n}\n\ncheckNameSlot <- function(x) {\n  # Supply a default name if one is not given\n  if (is.null(x$name))\n    grobAutoName(suffix=class(x)[1L])\n  else\n    as.character(x$name)\n}\n\ncheckgpSlot <- function(gp) {\n  # gp must be a gpar\n  if (!is.null(gp))\n    if (!inherits(gp, \"gpar\"))\n      stop(\"invalid 'gp' slot\")\n}\n\nvalidDetails <- function(x) {\n  UseMethod(\"validDetails\")\n}\n\nvalidDetails.grob <- function(x) {\n  x\n}\n\nvalidGrob <- function(x, ...) {\n  UseMethod(\"validGrob\")\n}\n\nvalidGrob.grob <- function(x, ...) {\n  # Validate class-specific slots\n  x <- validDetails(x)\n  # Validate standard grob slots\n  x$name <- checkNameSlot(x)\n  checkgpSlot(x$gp)\n  if (!is.null(x$vp))\n    x$vp <- checkvpSlot(x$vp)\n  return(x)\n}\n\n# This actually creates a new class derived from grob\n# and returns an instance of that new class, all in one step\ngrob <- function(..., name=NULL, gp=NULL, vp=NULL, cl=NULL) {\n  g <- list(..., name=name, gp=gp, vp=vp)\n  if (!is.null(cl) &&\n      !is.character(cl))\n    stop(\"invalid 'grob' class\")\n  class(g) <- c(cl, \"grob\", \"gDesc\")\n  validGrob(g)\n}\n\ngrid.grob <- function(list.struct, cl=NULL, draw=TRUE) .Defunct(\"grob\")\n\nis.grob <- function(x) {\n  inherits(x, \"grob\")\n}\n\nas.character.grob <- function(x, ...) {\n  paste0(class(x)[1L], \"[\", x$name, \"]\")\n}\n\nprint.grob <- function(x, ...) {\n  cat(as.character(x), \"\\n\")\n  invisible(x)\n}\n\n################\n# gPath CLASS DEFN\n################\n# gPath is a concatenated list of names specifying a path to a grob\n# Functions for creating \"paths\" of viewport names\n\ngPathFromVector <- function(names) {\n  if (any(bad <- !is.character(names)))\n      stop(ngettext(sum(bad), \"invalid grob name\", \"invalid grob names\"),\n           domain = NA)\n  # Break out any embedded .grid.pathSep's\n  names <- unlist(strsplit(names, .grid.pathSep))\n  n <- length(names)\n  if (n < 1L)\n    stop(\"a 'grob' path must contain at least one 'grob' name\")\n  path <- list(path = if (n==1) NULL else\n               paste(names[1L:(n-1)], collapse = .grid.pathSep),\n               name = names[n], n = n)\n  class(path) <- c(\"gPath\", \"path\")\n  path\n}\n\ngPath <- function(...) {\n  names <- c(...)\n  gPathFromVector(names)\n}\n\n################\n# gList CLASS DEFN\n################\n# Just a list of grobs\nokGListelt <- function(x) {\n  is.grob(x) || is.null(x) || is.gList(x)\n}\n\nis.gList <- function(x) {\n    inherits(x, \"gList\")\n}\n\nas.gList <- function(x) {\n    if (is.null(x)) {\n        result <- list()\n        class(result) <- \"gList\"\n    } else if (is.grob(x)) {\n        result <- list(x)\n        class(result) <- \"gList\"\n    } else if (is.gList(x)) {\n        result <- x\n    } else {\n        stop(\"unable to coerce to \\\"gList\\\"\")\n    }\n    result\n}\n\ngList <- function(...) {\n    gl <- list(...)\n    if (length(gl) == 0L ||\n        all(sapply(gl, okGListelt, simplify=TRUE))) {\n        # Ensure gList is \"flat\"\n        # Don't want gList containing gList ...\n        if (!all(sapply(gl, is.grob)))\n            gl <- do.call(\"c\", lapply(gl, as.gList))\n        class(gl) <- c(\"gList\")\n        return(gl)\n    } else {\n        stop(\"only 'grobs' allowed in \\\"gList\\\"\")\n    }\n}\n\naddToGList <- function(x, gList) {\n  UseMethod(\"addToGList\")\n}\n\naddToGList.default <- function(x, gList) {\n  if (is.null(x))\n    gList\n  else\n    stop(\"invalid element to add to \\\"gList\\\"\")\n}\n\naddToGList.grob <- function(x, gList) {\n  if (is.null(gList))\n    gList(x)\n  else {\n    gList[[length(gList) + 1L]] <- x\n    return(gList)\n  }\n}\n\naddToGList.gList <- function(x, gList) {\n  gl <- c(gList, x)\n  class(gl) <- \"gList\"\n  return(gl)\n}\n\nas.character.gList <- function(x, ...) {\n  paste0(\"(\", paste(lapply(x, as.character), collapse=\", \"), \")\")\n}\n\nprint.gList <- function(x, ...) {\n  cat(as.character(x), \"\\n\")\n  invisible(x)\n}\n\n`[.gList` <- function(x, index, ...) {\n    cl <- class(x)\n    result <- \"[\"(unclass(x), index, ...)\n    class(result) <- cl\n    result\n}\n\n################\n# gTree CLASS DEFN\n################\n# gTree extends grob\n# A gTree has additional children slot\nchildName <- function(x) {\n  x$name\n}\n\nsetChildren <- function(x, children) {\n  if (!inherits(x, \"gTree\"))\n    stop(\"can only set 'children' for a \\\"gTree\\\"\")\n  if (!is.null(children) &&\n      !inherits(children, \"gList\"))\n    stop(\"'children' must be a \\\"gList\\\"\")\n  # Thin out NULL children\n  if (!is.null(children)) {\n    cl <- class(children)\n    children <- children[!sapply(children, is.null)]\n    class(children) <- cl\n  }\n  if (length(children)) {\n    x$children <- children\n    childNames <- sapply(children, childName)\n    names(x$children) <- childNames\n    x$childrenOrder <- childNames\n  } else {\n    x$children <- gList()\n    x$childrenOrder <- character()\n  }\n  x\n}\n\nchildNames <- function(gTree) {\n  if (!inherits(gTree, \"gTree\"))\n    stop(\"it is only valid to get 'children' from a \\\"gTree\\\"\")\n  gTree$childrenOrder\n}\n\nvalidGrob.gTree <- function(x, childrenvp, ...) {\n  # Validate class-specific slots\n  x <- validDetails(x)\n  # Validate standard grob slots\n  x$name <- checkNameSlot(x)\n  checkgpSlot(x$gp)\n  if (!is.null(x$vp))\n    x$vp <- checkvpSlot(x$vp)\n  # Only add childrenvp here so that gTree slots can\n  # be validated before childrenvp get made\n  # (making of childrenvp and children likely to depend\n  #  on gTree slots)\n  if (!is.null(childrenvp))\n    x$childrenvp <- checkvpSlot(childrenvp)\n  return(x)\n}\n\ngTree <- function(..., name=NULL, gp=NULL, vp=NULL,\n                  children=NULL, childrenvp=NULL,\n                  cl=NULL) {\n  gt <- list(..., name=name, gp=gp, vp=vp)\n  if (!is.null(cl) &&\n      !is.character(cl))\n    stop(\"invalid \\\"gTree\\\" class\")\n  class(gt) <- c(cl, \"gTree\", \"grob\", \"gDesc\")\n  gt <- validGrob(gt, childrenvp)\n  gt <- setChildren(gt, children)\n  return(gt)\n}\n\n# A basic gTree that is JUST a collection of grobs\n# (simply interface to gTree)\ngrobTree <- function(..., name=NULL, gp=NULL, vp=NULL,\n                     childrenvp=NULL, cl=NULL) {\n    gTree(children=gList(...),\n          name=name, gp=gp, vp=vp,\n          childrenvp=childrenvp, cl=cl)\n}\n\n################\n# Getting just the names of the top-level grobs on the DL\n################\ngetName <- function(elt) {\n  if (inherits(elt, \"grob\"))\n    elt$name\n  else\n    \"\"\n}\n\ngetNames <- function() {\n  dl <- grid.Call(C_getDisplayList)[1L:grid.Call(C_getDLindex)]\n  names <- sapply(dl, getName)\n  names[nzchar(names)]\n}\n\n################\n# Getting/adding/removing/editing (children of [children of ...]) a gTree\n################\n\n# NOTE:  In order to cut down on repeated code, some of these\n# (i.e., all but get and set) are inefficient and call get/set\n# to do their work.  If speed becomes an issue, may have to\n# revert to individual support for each function with highly\n# repetitive code\n\n# Get a grob from the display list\ngrid.get <- function(gPath, strict=FALSE, grep=FALSE, global=FALSE,\n                     allDevices=FALSE) {\n  if (allDevices)\n    stop(\"'allDevices' not yet implemented\")\n  if (is.character(gPath))\n    gPath <- gPath(gPath)\n  if (!inherits(gPath, \"gPath\"))\n    stop(\"invalid 'gPath'\")\n  if (!is.logical(grep))\n    stop(\"invalid 'grep' value\")\n  grep <- rep(grep, length.out=depth(gPath))\n  getDLfromGPath(gPath, strict, grep, global)\n}\n\n# Just different defaults to grid.get for convenience\n# Justified by usage patterns of Hadley Wickham\ngrid.gget <- function(..., grep=TRUE, global=TRUE) {\n    grid.get(..., grep=grep, global=global)\n}\n\n# Get a child (of a child, of a child, ...) of a grob\ngetGrob <- function(gTree, gPath, strict=FALSE,\n                    grep=FALSE, global=FALSE) {\n  if (!inherits(gTree, \"gTree\"))\n    stop(\"it is only valid to get a child from a \\\"gTree\\\"\")\n  if (is.character(gPath))\n    gPath <- gPath(gPath)\n  if (!inherits(gPath, \"gPath\"))\n    stop(\"invalid 'gPath'\")\n  if (depth(gPath) == 1 && strict) {\n    gTree$children[[gPath$name]]\n  } else {\n    if (!is.logical(grep))\n      stop(\"invalid 'grep' value\")\n    grep <- rep(grep, length.out=depth(gPath))\n    getGTree(gTree, NULL, gPath, strict, grep, global)\n  }\n}\n\n# Set a grob on the display list\n# nor is it valid to specify a global destination (i.e., no global arg)\ngrid.set <- function(gPath, newGrob, strict=FALSE, grep=FALSE,\n                     redraw=TRUE) {\n  if (is.character(gPath))\n    gPath <- gPath(gPath)\n  if (!inherits(gPath, \"gPath\"))\n    stop(\"invalid 'gPath'\")\n  if (!is.logical(grep))\n    stop(\"invalid 'grep' value\")\n  grep <- rep(grep, length.out=depth(gPath))\n  result <- setDLfromGPath(gPath, newGrob, strict, grep)\n  # result$index will be non-zero if matched the gPath\n  if (result$index) {\n    # Get the current DL index\n    dl.index <- grid.Call(C_getDLindex)\n    # Destructively modify the DL elt\n    grid.Call(C_setDLindex, as.integer(result$index))\n    grid.Call(C_setDLelt, result$grob)\n    # Reset the DL index\n    grid.Call(C_setDLindex, as.integer(dl.index))\n    if (redraw)\n      draw.all()\n  } else {\n    stop(\"'gPath' does not specify a valid child\")\n  }\n}\n\n# Set a grob\n# nor is it valid to specify a global destination (i.e., no global arg)\nsetGrob <- function(gTree, gPath, newGrob, strict=FALSE, grep=FALSE) {\n  if (!inherits(gTree, \"gTree\"))\n    stop(\"it is only valid to set a child of a \\\"gTree\\\"\")\n  if (!inherits(newGrob, \"grob\"))\n    stop(\"it is only valid to set a 'grob' as child of a \\\"gTree\\\"\")\n  if (is.character(gPath))\n    gPath <- gPath(gPath)\n  if (!inherits(gPath, \"gPath\"))\n    stop(\"invalid 'gPath'\")\n  if (!is.logical(grep))\n    stop(\"invalid 'grep' value\")\n  grep <- rep(grep, length.out=depth(gPath))\n  if (depth(gPath) == 1 && strict) {\n    # gPath must specify an existing child\n    if (old.pos <- nameMatch(gPath$name, gTree$childrenOrder, grep)) {\n      # newGrob name must match existing name\n      if (match(gTree$childrenOrder[old.pos], newGrob$name, nomatch=0L)) {\n        gTree$children[[newGrob$name]] <- newGrob\n      } else {\n          stop(gettextf(\"New 'grob' name (%s) does not match 'gPath' (%s)\",\n                        newGrob$name, gPath), domain = NA)\n      }\n    } else {\n        stop(\"'gPath' does not specify a valid child\")\n    }\n  } else {\n    gTree <- setGTree(gTree, NULL, gPath, newGrob, strict, grep)\n    if (is.null(gTree))\n      stop(\"'gPath' does not specify a valid child\")\n  }\n  gTree\n}\n\n# Add a grob to a grob on the display list\ngrid.add <- function(gPath, child, strict=FALSE,\n                     grep=FALSE, global=FALSE, allDevices=FALSE,\n                     redraw=TRUE) {\n  if (allDevices)\n    stop(\"'allDevices' not yet implemented\")\n  if (is.character(gPath))\n    gPath <- gPath(gPath)\n  if (!inherits(gPath, \"gPath\"))\n    stop(\"invalid 'gPath'\")\n  if (!is.logical(grep))\n    stop(\"invalid 'grep' value\")\n  grep <- rep(grep, length.out=depth(gPath))\n  addDLfromGPath(gPath, child, strict, grep, global, redraw)\n}\n\n# Add a grob to a gTree (or a child of a (child of a ...) gTree)\naddGrob <- function(gTree, child, gPath=NULL, strict=FALSE,\n                    grep=FALSE, global=FALSE, warn=TRUE) {\n    if (!inherits(child, \"grob\"))\n        stop(\"it is only valid to add a 'grob' to a \\\"gTree\\\"\")\n    if (is.null(gPath)) {\n        addToGTree(gTree, child)\n    } else {\n        if (is.character(gPath))\n            gPath <- gPath(gPath)\n        # Only makes sense to specify a gPath for a gTree\n        if (!inherits(gTree, \"gTree\"))\n            stop(\"it is only valid to add a child to a \\\"gTree\\\"\")\n        if (!is.logical(grep))\n            stop(\"invalid 'grep' value\")\n        grep <- rep(grep, length.out=depth(gPath))\n        # result will be NULL if no match\n        result <- addGTree(gTree, child, NULL, gPath, strict, grep, global)\n        if (is.null(result)) {\n            if (warn)\n                warning(gettextf(\"'gPath' (%s) not found\",\n                                 as.character(gPath)),\n                        domain = NA)\n            gTree\n        } else {\n            result\n        }\n    }\n}\n\n# Remove a grob (or child of ...) from the display list\ngrid.remove <- function(gPath, warn=TRUE, strict=FALSE,\n                        grep=FALSE, global=FALSE, allDevices=FALSE,\n                        redraw=TRUE) {\n  if (allDevices)\n    stop(\"'allDevices' not yet implemented\")\n  if (is.character(gPath))\n    gPath <- gPath(gPath)\n  if (!inherits(gPath, \"gPath\"))\n    stop(\"invalid 'gPath'\")\n  if (!is.logical(grep))\n    stop(\"invalid 'grep' value\")\n  grep <- rep(grep, length.out=depth(gPath))\n  if (depth(gPath) == 1) {\n    removeNameFromDL(gPath$name, strict, grep, global, warn, redraw)\n  } else {\n    name <- gPath$name\n    gPath <- gPath(gPath$path)\n    greppath <- grep[-length(grep)]\n    grepname <- grep[length(grep)]\n    removeDLFromGPath(gPath, name, strict, greppath, grepname,\n                      global, warn, redraw)\n  }\n}\n\n# Just different defaults to grid.remove for convenience\n# Justified by usage patterns of Hadley Wickham\ngrid.gremove <- function(..., grep=TRUE, global=TRUE) {\n    grid.remove(..., grep=grep, global=global)\n}\n\n# Remove a child from a (child of ...) gTree\nremoveGrob <- function(gTree, gPath, strict=FALSE,\n                       grep=FALSE, global=FALSE, warn=TRUE) {\n    if (!inherits(gTree, \"gTree\"))\n        stop(\"it is only valid to remove a child from a \\\"gTree\\\"\")\n    if (is.character(gPath))\n        gPath <- gPath(gPath)\n    if (!inherits(gPath, \"gPath\"))\n        stop(\"invalid 'gPath'\")\n    if (!is.logical(grep))\n        stop(\"invalid 'grep' value\")\n    grep <- rep(grep, length.out=depth(gPath))\n    if (depth(gPath) == 1) {\n        # result will be NULL if no match\n        result <- removeName(gTree, gPath$name, strict, grep, global, warn)\n    } else {\n        name <- gPath$name\n        gPath <- gPath(gPath$path)\n        greppath <- grep[-length(grep)]\n        grepname <- grep[length(grep)]\n        # result will be NULL if no match\n        result <- removeGTree(gTree, name, NULL, gPath, strict,\n                              greppath, grepname, global, warn)\n    }\n    if (is.null(result)) {\n        if (warn)\n            warning(gettextf(\"'gPath' (%s) not found\", as.character(gPath)),\n                    domain = NA)\n        gTree\n    } else {\n        result\n    }\n}\n\n# Edit a grob on the display list\ngrid.edit <- function(gPath, ..., strict=FALSE,\n                      grep=FALSE, global=FALSE, allDevices=FALSE,\n                      redraw=TRUE) {\n  if (allDevices)\n    stop(\"'allDevices' not yet implemented\")\n  if (is.character(gPath))\n    gPath <- gPath(gPath)\n  if (!inherits(gPath, \"gPath\"))\n    stop(\"invalid 'gPath'\")\n  if (!is.logical(grep))\n    stop(\"invalid 'grep' value\")\n  grep <- rep(grep, length.out=depth(gPath))\n  specs <- list(...)\n  editDLfromGPath(gPath, specs, strict, grep, global, redraw)\n}\n\n# Just different defaults to grid.edit for convenience\n# Justified by usage patterns of Hadley Wickham\ngrid.gedit <- function(..., grep=TRUE, global=TRUE) {\n    grid.edit(..., grep=grep, global=global)\n}\n\n# Edit a (child of a ...) grob\neditGrob <- function(grob, gPath=NULL, ..., strict=FALSE,\n                     grep=FALSE, global=FALSE, warn=TRUE) {\n    specs <- list(...)\n    if (is.null(gPath)) {\n        editThisGrob(grob, specs)\n    } else {\n        if (is.character(gPath))\n            gPath <- gPath(gPath)\n        # Only makes sense to specify a gPath for a gTree\n        if (!inherits(grob, \"gTree\"))\n            stop(\"it is only valid to edit a child of a \\\"gTree\\\"\")\n        if (!is.logical(grep))\n            stop(\"invalid 'grep' value\")\n        grep <- rep(grep, length.out=depth(gPath))\n        # result will be NULL if no match\n        result <- editGTree(grob, specs, NULL, gPath, strict, grep, global)\n        if (is.null(result)) {\n            if (warn)\n                warning(gettextf(\"'gPath' (%s) not found\",\n                                 as.character(gPath)),\n                        domain = NA)\n            grob\n        } else {\n            result\n        }\n    }\n}\n\n#########\n# Generic \"hook\" to allow customised action on edit\n#########\neditDetails <- function(x, specs) {\n  UseMethod(\"editDetails\")\n}\n\neditDetails.default <- function(x, specs) {\n  # Do nothing BUT return object being edited\n  x\n}\n\neditDetails.gTree <- function(x, specs) {\n  # Disallow editing children or childrenOrder slots directly\n  if (any(specs %in% c(\"children\", \"childrenOrder\")))\n    stop(\"it is invalid to directly edit the 'children' or 'childrenOrder' slot\")\n  x\n}\n\n#########\n# Helper functions for getting/adding/removing/editing grobs\n#\n# ASSUME down here that the grep argument has been replicated\n# up to the length of the gPath argument\n#########\n\n# Find a \"match\" between a path$name and a grob$name\nnameMatch <- function(pathName, grobName, grep) {\n  if (grep) {\n    pos <- grep(pathName, grobName)\n    (length(pos) && pos == 1)\n  } else {\n    match(pathName, grobName, nomatch=0L)\n  }\n}\n\n# Return the position of path$name in vector of names\n# Return FALSE if not found\n# If grep=TRUE, the answer may be a vector!\nnamePos <- function(pathName, names, grep) {\n  if (grep) {\n    pos <- grep(pathName, names)\n    if (length(pos) == 0L)\n      pos <- FALSE\n  } else {\n    pos <- match(pathName, names, nomatch=0L)\n  }\n  pos\n}\n\npartialPathMatch <- function(pathsofar, path, strict=FALSE, grep) {\n  if (strict) {\n    if (!any(grep))\n      length(grep(paste0(\"^\", pathsofar), path)) > 0L\n    else {\n      pathSoFarElts <- explode(pathsofar)\n      pathElts <- explode(path)\n      ok <- TRUE\n      npsfe <- length(pathSoFarElts)\n      index <- 1\n      while (ok & index <= npsfe) {\n        if (grep[index])\n          ok <- (grep(pathSoFarElts[index], pathElts[index]) == 1)\n        else\n          ok <- match(pathSoFarElts[index], pathElts[index], nomatch=0L)\n        index <- index + 1\n      }\n      ok\n    }\n  } else {\n    # If we're not doing strict matching then anything from a full\n    # path match to absolutely no match means a partial match\n    # (i.e., keep looking)\n    TRUE\n  }\n}\n\nfullPathMatch <- function(pathsofar, gPath, strict, grep) {\n  if (is.null(pathsofar))\n    match <- (depth(gPath) == 1)\n  else {\n    path <- gPath$path\n    if (!any(grep))\n      if (strict)\n        match <- match(pathsofar, path, nomatch=0L)\n      else\n        match <- (length(grep(paste0(path, \"$\"), pathsofar)) > 0L)\n    else {\n      pathSoFarElts <- explode(pathsofar)\n      pathElts <- explode(path)\n      npsfe <- length(pathSoFarElts)\n      npe <- length(pathElts)\n      if (npe > npsfe) {\n        match <- FALSE\n      } else {\n        match <- TRUE\n        index <- 1\n        if (strict) {# pathSoFar same length as gPath\n        } else {# pathSoFar could be longer than gPath\n          pathSoFarElts <- pathSoFarElts[(npsfe - npe + 1):npsfe]\n        }\n        while (match && index <= npe) {\n          if (grep[index])\n            match <- (length(grep(pathElts[index], pathSoFarElts[index])) > 0L)\n          else\n            match <- match(pathSoFarElts[index], pathElts[index], nomatch = 0L)\n          index <- index + 1\n        }\n      }\n    }\n  }\n  match\n}\n\n#####\n##### Get support\n#####\n\n# Add a grob to a result\ngrowResult <- function(result, x) {\n  UseMethod(\"growResult\")\n}\n\n# Should only be when result is NULL\ngrowResult.default <- function(result, x) {\n  if (!is.null(result))\n    stop(\"invalid 'result'\")\n  x\n}\n\ngrowResult.grob <- function(result, x) {\n  if (is.grob(x))\n    gList(result, x)\n  else\n    # x should be a gList\n    addToGList(result, x)\n}\n\ngrowResult.gList <- function(result, x) {\n  addToGList(x, result)\n}\n\n# A gPath may specify the child of a gTree\n# (or the child of a child of a gTree, or ...)\ngetGrobFromGPath <- function(grob, pathsofar, gPath, strict,\n                             grep, global) {\n  UseMethod(\"getGrobFromGPath\")\n}\n\n# If it's not a grob then fail\n# Handles case when traversing DL\ngetGrobFromGPath.default <- function(grob, pathsofar, gPath, strict,\n                                     grep, global) {\n  NULL\n}\n\ngetGrobFromGPath.grob <- function(grob, pathsofar, gPath, strict,\n                                  grep, global) {\n  if (depth(gPath) > 1)\n    NULL\n  else {\n    if (nameMatch(gPath$name, grob$name, grep))\n      grob\n    else\n      NULL\n  }\n}\n\ngetGTree <- function(gTree, pathsofar, gPath, strict, grep, global) {\n  # Try to find pathsofar at start of gPath\n  # NOTE: may be called directly with pathsofar=NULL\n  if (is.null(pathsofar) ||\n      (!strict && depth(gPath) == 1) ||\n      partialPathMatch(pathsofar, gPath$path, strict, grep)) {\n    found <- FALSE\n    index <- 1\n    grob <- NULL\n    # Search children for match\n    while (index <= length(gTree$childrenOrder) &&\n           (!found || global)) {\n      childName <- gTree$childrenOrder[index]\n      child <- gTree$children[[childName]]\n      # Special case when strict is FALSE and depth(gPath) is 1\n      # Just check for gPath$name amongst children and recurse if no match\n      if (!strict && depth(gPath) == 1) {\n        if (nameMatch(gPath$name, childName, grep)) {\n          grob <- growResult(grob, child)\n          found <- TRUE\n        } else {\n          if (is.null(pathsofar))\n            newpathsofar <- child$name\n          else\n            newpathsofar <- paste0(pathsofar, .grid.pathSep, childName)\n          if (!is.null(newChild <- getGrobFromGPath(child, newpathsofar,\n                                                    gPath, strict,\n                                                    grep, global))) {\n            grob <- growResult(grob, newChild)\n            found <- TRUE\n          }\n        }\n      } else {\n        # Only check for match with child if have full match with pathsofar\n        # If it's a complete match, look for gPath$name amongst child\n        # NOTE: may be called directly with pathsofar=NULL\n        if (fullPathMatch(pathsofar, gPath, strict, grep)) {\n          if (nameMatch(gPath$name, childName, grep[depth(gPath)])) {\n            grob <- growResult(grob, child)\n            found <- TRUE\n          }\n        # Otherwise recurse down child\n        } else {\n          # NOTE: may be called directly with pathsofar=NULL\n          if (is.null(pathsofar))\n            newpathsofar <- child$name\n          else\n            newpathsofar <- paste0(pathsofar, .grid.pathSep, childName)\n          if (!is.null(newChild <- getGrobFromGPath(child, newpathsofar,\n                                                    gPath, strict,\n                                                    grep, global))) {\n            grob <- growResult(grob, newChild)\n            found <- TRUE\n          }\n        }\n      }\n      index <- index + 1\n    }\n    if (found)\n      grob\n    else\n      NULL\n  } else {\n    NULL\n  }\n}\n\ngetGrobFromGPath.gTree <- function(grob, pathsofar, gPath, strict,\n                                   grep, global) {\n  if (depth(gPath) == 1) {\n    if (nameMatch(gPath$name, grob$name, grep))\n      grob\n    else\n      if (strict)\n        NULL\n      else\n        getGTree(grob,\n                 if (is.null(pathsofar)) grob$name else pathsofar,\n                 gPath, strict, grep, global)\n  } else {\n    getGTree(grob,\n             if (is.null(pathsofar)) grob$name else pathsofar,\n             gPath, strict, grep, global)\n  }\n}\n\ngetDLfromGPath <- function(gPath, strict, grep, global) {\n  dl.index <- grid.Call(C_getDLindex)\n  result <- NULL\n  index <- 1\n  while (index < dl.index &&\n         (is.null(result) || global)) {\n    grob <- getGrobFromGPath(grid.Call(C_getDLelt,\n                                       as.integer(index)),\n                             NULL, gPath, strict,\n                             grep, global)\n    if (!is.null(grob))\n      result <- growResult(result, grob)\n    index <- index + 1\n  }\n  result\n}\n\n#####\n##### Set support\n#####\n# A gPath may specify the child of a gTree\n# (or the child of a child of a gTree, or ...)\nsetGrobFromGPath <- function(grob, pathsofar, gPath, newGrob, strict, grep) {\n  UseMethod(\"setGrobFromGPath\")\n}\n\n# Ignore DL elements which are not grobs\nsetGrobFromGPath.default <- function(grob, pathsofar, gPath, newGrob,\n                                     strict, grep) {\n  NULL\n}\n\nsetGrobFromGPath.grob <- function(grob, pathsofar, gPath, newGrob,\n                                  strict, grep) {\n  if (depth(gPath) > 1)\n    NULL\n  else {\n    if (nameMatch(gPath$name, grob$name, grep))\n      if (match(grob$name, newGrob$name, nomatch=0L))\n        newGrob\n      else\n        NULL\n    else\n      NULL\n  }\n}\n\n# Try to match gPath in gTree children\n# Return NULL if cant' find match\n# Return modified gTree if can find match\nsetGTree <- function(gTree, pathsofar, gPath, newGrob, strict, grep) {\n  # Try to find pathsofar at start of gPath\n  # NOTE: may be called directly with pathsofar=NULL\n  if (is.null(pathsofar) ||\n      (!strict && depth(gPath) == 1) ||\n      partialPathMatch(pathsofar, gPath$path, strict, grep)) {\n    found <- FALSE\n    index <- 1\n    # Search children for match\n    while (index <= length(gTree$childrenOrder) && !found) {\n      childName <- gTree$childrenOrder[index]\n      child <- gTree$children[[childName]]\n      # Special case when strict is FALSE and depth(gPath) is 1\n      # Just check for gPath$name amongst children and recurse if no match\n      if (!strict && depth(gPath) == 1) {\n        if (nameMatch(gPath$name, childName, grep)) {\n          if (match(childName, newGrob$name, nomatch=0L)) {\n            gTree$children[[newGrob$name]] <- newGrob\n            found <- TRUE\n          } else {\n            stop(\"the new 'grob' must have the same name as the old 'grob'\")\n          }\n        } else {\n          if (is.null(pathsofar))\n            newpathsofar <- child$name\n          else\n            newpathsofar <- paste0(pathsofar, .grid.pathSep, childName)\n          if (!is.null(newChild <- setGrobFromGPath(child, newpathsofar,\n                                                    gPath, newGrob,\n                                                    strict, grep))) {\n            gTree$children[[childName]] <- newChild\n            found <- TRUE\n          }\n        }\n      } else {\n        # Only check for match with child if have full match with pathsofar\n        # If it's a complete match, look for gPath$name amongst child\n        # NOTE: may be called directly with pathsofar=NULL\n        if (fullPathMatch(pathsofar, gPath, strict, grep)) {\n          if (nameMatch(gPath$name, childName, grep[depth(gPath)])) {\n            if (match(childName, newGrob$name, nomatch=0L)) {\n                gTree$children[[newGrob$name]] <- newGrob\n                found <- TRUE\n            } else {\n                stop(\"the new 'grob' must have the same name as the old 'grob'\")\n            }\n          }\n        # Otherwise recurse down child\n        } else {\n          # NOTE: may be called directly with pathsofar=NULL\n          if (is.null(pathsofar))\n            newpathsofar <- child$name\n          else\n            newpathsofar <- paste0(pathsofar, .grid.pathSep, childName)\n          if (!is.null(newChild <- setGrobFromGPath(child, newpathsofar,\n                                                    gPath, newGrob,\n                                                    strict, grep))) {\n            gTree$children[[childName]] <- newChild\n            found <- TRUE\n          }\n        }\n      }\n      index <- index + 1\n    }\n    if (found)\n      gTree\n    else\n      NULL\n  } else {\n    NULL\n  }\n}\n\nsetGrobFromGPath.gTree <- function(grob, pathsofar, gPath, newGrob,\n                                   strict, grep) {\n  if (depth(gPath) == 1) {\n    if (nameMatch(gPath$name, grob$name, grep))\n      if (match(grob$name, newGrob$name, nomatch=0L))\n        newGrob\n      else\n        stop(\"the new 'grob' must have the same name as the old 'grob'\")\n    else\n      if (strict)\n        NULL\n      else\n        setGTree(grob,\n                 if (is.null(pathsofar)) grob$name else pathsofar,\n                 gPath, newGrob, strict, grep)\n  } else {\n    setGTree(grob,\n             # Initialise pathsofar if first time through\n             if (is.null(pathsofar)) grob$name else pathsofar,\n             gPath, newGrob, strict, grep)\n  }\n}\n\nsetDLfromGPath <- function(gPath, newGrob, strict, grep) {\n  dl.index <- grid.Call(C_getDLindex)\n  index <- 1\n  result <- list(index=0, grob=NULL)\n  while (index < dl.index &&\n         result$index == 0) {\n    result$grob <- setGrobFromGPath(grid.Call(C_getDLelt,\n                                              as.integer(index)),\n                                    NULL, gPath, newGrob, strict, grep)\n    if (!is.null(result$grob))\n      result$index <- index\n    index <- index + 1\n  }\n  result\n}\n\n#####\n##### Edit support\n#####\neditThisGrob <- function(grob, specs) {\n  for (i in names(specs))\n    if (nzchar(i))\n      # Handle gp as special case\n      if (match(i, \"gp\", nomatch=0))\n        # Handle NULL as special case\n        if (is.null(specs[[i]]))\n          grob[i] <- list(gp=NULL)\n        else\n          grob$gp <- mod.gpar(grob$gp, specs$gp)\n      # If there is no slot with the argument name, just ignore that argument\n      else if (match(i, names(grob), nomatch=0))\n        # Handle NULL as special case\n        if (is.null(specs[[i]]))\n          grob[i] <- eval(substitute(list(i=NULL)))\n        else\n          grob[[i]] <- specs[[i]]\n      else\n        warning(gettextf(\"slot '%s' not found\", i), domain = NA)\n  # Check grob slots are ok before trying to do anything with them\n  # in editDetails\n  # grob$childrenvp may be non-NULL for a gTree\n  grob <- validGrob(grob, grob$childrenvp)\n  editDetails(grob, specs)\n}\n\n# A gPath may specify the child of a gTree\n# (or the child of a child of a gTree, or ...)\neditGrobFromGPath <- function(grob, specs, pathsofar, gPath, strict,\n                              grep, global) {\n  UseMethod(\"editGrobFromGPath\")\n}\n\n# If it's not a grob then fail\n# Handles case when traversing DL\neditGrobFromGPath.default <- function(grob, specs,\n                                      pathsofar, gPath, strict,\n                                      grep, global) {\n  NULL\n}\n\neditGrobFromGPath.grob <- function(grob, specs,\n                                   pathsofar, gPath, strict,\n                                   grep, global) {\n  if (depth(gPath) > 1)\n    NULL\n  else {\n    if (nameMatch(gPath$name, grob$name, grep))\n      editThisGrob(grob, specs)\n    else\n      NULL\n  }\n}\n\neditGTree <- function(gTree, specs, pathsofar, gPath, strict,\n                      grep, global) {\n  # Try to find pathsofar at start of gPath\n  # NOTE: may be called directly with pathsofar=NULL\n  if (is.null(pathsofar) ||\n      (!strict && depth(gPath) == 1) ||\n      partialPathMatch(pathsofar, gPath$path, strict, grep)) {\n    found <- FALSE\n    index <- 1\n    # Search children for match\n    while (index <= length(gTree$childrenOrder) &&\n           (!found || global)) {\n      childName <- gTree$childrenOrder[index]\n      child <- gTree$children[[childName]]\n      # Special case when strict is FALSE and depth(gPath) is 1\n      # Just check for gPath$name amongst children and recurse if no match\n      if (!strict && depth(gPath) == 1) {\n        if (nameMatch(gPath$name, childName, grep)) {\n          gTree$children[[childName]] <- editThisGrob(child, specs)\n          found <- TRUE\n        } else {\n          if (is.null(pathsofar))\n            newpathsofar <- child$name\n          else\n            newpathsofar <- paste0(pathsofar, .grid.pathSep, childName)\n          if (!is.null(newChild <- editGrobFromGPath(child, specs,\n                                                     newpathsofar,\n                                                     gPath, strict,\n                                                     grep, global))) {\n            gTree$children[[childName]] <- newChild\n            found <- TRUE\n          }\n        }\n      } else {\n        # Only check for match with child if have full match with pathsofar\n        # If it's a complete match, look for gPath$name amongst child\n        # NOTE: may be called directly with pathsofar=NULL\n        if (fullPathMatch(pathsofar, gPath, strict, grep)) {\n          if (nameMatch(gPath$name, childName, grep[depth(gPath)])) {\n            gTree$children[[childName]] <- editThisGrob(child, specs)\n            found <- TRUE\n          }\n        # Otherwise recurse down child\n        } else {\n          # NOTE: may be called directly with pathsofar=NULL\n          if (is.null(pathsofar))\n            newpathsofar <- child$name\n          else\n            newpathsofar <- paste0(pathsofar, .grid.pathSep, childName)\n          if (!is.null(newChild <- editGrobFromGPath(child, specs,\n                                                     newpathsofar,\n                                                     gPath, strict,\n                                                     grep, global))) {\n            gTree$children[[childName]] <- newChild\n            found <- TRUE\n          }\n        }\n      }\n      index <- index + 1\n    }\n    if (found)\n      gTree\n    else\n      NULL\n  } else {\n    NULL\n  }\n}\n\neditGrobFromGPath.gTree <- function(grob, specs,\n                                    pathsofar, gPath, strict,\n                                    grep, global) {\n  if (depth(gPath) == 1) {\n    if (nameMatch(gPath$name, grob$name, grep))\n      editThisGrob(grob, specs)\n    else\n      if (strict)\n        NULL\n      else\n        editGTree(grob, specs,\n                  if (is.null(pathsofar)) grob$name else pathsofar,\n                  gPath, strict, grep, global)\n  } else {\n    editGTree(grob, specs,\n              if (is.null(pathsofar)) grob$name else pathsofar,\n              gPath, strict, grep, global)\n  }\n}\n\neditDLfromGPath <- function(gPath, specs, strict, grep, global, redraw) {\n  dl.index <- grid.Call(C_getDLindex)\n  index <- 1\n  grob <- NULL\n  found <- FALSE\n  while (index < dl.index &&\n         (is.null(grob) || global)) {\n    grob <- editGrobFromGPath(grid.Call(C_getDLelt,\n                                        as.integer(index)),\n                              specs,\n                              NULL, gPath, strict, grep, global)\n    if (!is.null(grob)) {\n      # Destructively modify the DL elt\n      grid.Call(C_setDLindex, as.integer(index))\n      grid.Call(C_setDLelt, grob)\n      # Reset the DL index\n      grid.Call(C_setDLindex, as.integer(dl.index))\n      found <- TRUE\n    }\n    index <- index + 1\n  }\n  if (!found)\n    stop(gettextf(\"'gPath' (%s) not found\", as.character(gPath)), domain = NA)\n  else if (redraw)\n    draw.all()\n}\n\n#####\n##### Add support\n#####\n\n# Assume that child is a grob\naddToGTree <- function(gTree, child) {\n  if (!inherits(gTree, \"gTree\"))\n    stop(\"it is only valid to add a child to a \\\"gTree\\\"\")\n  gTree$children[[child$name]] <- child\n  # Handle case where child name already exists (so will be overwritten)\n  if (old.pos <- match(child$name, gTree$childrenOrder, nomatch=0))\n    gTree$childrenOrder <- gTree$childrenOrder[-old.pos]\n  gTree$childrenOrder <- c(gTree$childrenOrder, child$name)\n  gTree\n}\n\n# A gPath may specify the child of a gTree\n# (or the child of a child of a gTree, or ...)\naddGrobFromGPath <- function(grob, child, pathsofar, gPath, strict,\n                             grep, global) {\n  UseMethod(\"addGrobFromGPath\")\n}\n\n# If it's not a grob then fail\n# Handles case when traversing DL\naddGrobFromGPath.default <- function(grob, child,\n                                     pathsofar, gPath, strict,\n                                     grep, global) {\n  NULL\n}\n\n# If no match then fail\n# If match then error!\naddGrobFromGPath.grob <- function(grob, child,\n                                  pathsofar, gPath, strict,\n                                  grep, global) {\n  if (depth(gPath) > 1)\n    NULL\n  else {\n    if (nameMatch(gPath$name, grob$name, grep))\n      stop(\"it is only valid to add a child to a \\\"gTree\\\"\")\n    else\n      NULL\n  }\n}\n\n# In this function, the grob being added is called \"grob\"\n# (in all others it is called \"child\"\naddGTree <- function(gTree, grob, pathsofar, gPath, strict,\n                     grep, global) {\n  # Try to find pathsofar at start of gPath\n  # NOTE: may be called directly with pathsofar=NULL\n  if (is.null(pathsofar) ||\n      (!strict && depth(gPath) == 1) ||\n      partialPathMatch(pathsofar, gPath$path, strict, grep)) {\n    found <- FALSE\n    index <- 1\n    # Search children for match\n    while (index <= length(gTree$childrenOrder) &&\n           (!found || global)) {\n      childName <- gTree$childrenOrder[index]\n      child <- gTree$children[[childName]]\n      # Special case when strict is FALSE and depth(gPath) is 1\n      # Just check for gPath$name amongst children and recurse if no match\n      if (!strict && depth(gPath) == 1) {\n        if (nameMatch(gPath$name, childName, grep)) {\n          gTree$children[[childName]] <- addToGTree(child, grob)\n          found <- TRUE\n        } else {\n          if (is.null(pathsofar))\n            newpathsofar <- child$name\n          else\n            newpathsofar <- paste0(pathsofar, .grid.pathSep, childName)\n          if (!is.null(newChild <- addGrobFromGPath(child, grob,\n                                                    newpathsofar,\n                                                    gPath, strict,\n                                                    grep, global))) {\n            gTree$children[[childName]] <- newChild\n            found <- TRUE\n          }\n        }\n      } else {\n        # Only check for match with child if have full match with pathsofar\n        # If it's a complete match, look for gPath$name amongst child\n        # NOTE: may be called directly with pathsofar=NULL\n        if (fullPathMatch(pathsofar, gPath, strict, grep)) {\n          if (nameMatch(gPath$name, childName, grep[depth(gPath)])) {\n            gTree$children[[childName]] <- addToGTree(child, grob)\n            found <- TRUE\n          }\n        # Otherwise recurse down child\n        } else {\n          # NOTE: may be called directly with pathsofar=NULL\n          if (is.null(pathsofar))\n            newpathsofar <- child$name\n          else\n            newpathsofar <- paste0(pathsofar, .grid.pathSep, childName)\n          if (!is.null(newChild <- addGrobFromGPath(child, grob,\n                                                    newpathsofar,\n                                                    gPath, strict,\n                                                    grep, global))) {\n            gTree$children[[childName]] <- newChild\n            found <- TRUE\n          }\n        }\n      }\n      index <- index + 1\n    }\n    if (found)\n      gTree\n    else\n      NULL\n  } else {\n    NULL\n  }\n}\n\naddGrobFromGPath.gTree <- function(grob, child,\n                                   pathsofar, gPath, strict,\n                                   grep, global) {\n  if (depth(gPath) == 1) {\n    if (nameMatch(gPath$name, grob$name, grep))\n      addToGTree(grob, child)\n    else\n      if (strict)\n        NULL\n      else\n        addGTree(grob, child,\n                 if (is.null(pathsofar)) grob$name else pathsofar,\n                 gPath, strict, grep, global)\n  } else {\n    addGTree(grob, child,\n             if (is.null(pathsofar)) grob$name else pathsofar,\n             gPath, strict, grep, global)\n  }\n}\n\naddDLfromGPath <- function(gPath, child, strict, grep, global, redraw) {\n  dl.index <- grid.Call(C_getDLindex)\n  index <- 1\n  grob <- NULL\n  found <- FALSE\n  while (index < dl.index &&\n         (is.null(grob) || global)) {\n    grob <- addGrobFromGPath(grid.Call(C_getDLelt,\n                                       as.integer(index)),\n                             child,\n                             NULL, gPath, strict, grep, global)\n    if (!is.null(grob)) {\n      # Destructively modify the DL elt\n      grid.Call(C_setDLindex, as.integer(index))\n      grid.Call(C_setDLelt, grob)\n      # Reset the DL index\n      grid.Call(C_setDLindex, as.integer(dl.index))\n      found <- TRUE\n    }\n    index <- index + 1\n  }\n  if (!found)\n    stop(gettextf(\"'gPath' (%s) not found\", gPath), domain = NA)\n  else if (redraw)\n    draw.all()\n}\n\n#####\n##### Remove support\n#####\n\nremoveFromGTree <- function(gTree, name, grep) {\n  if (!inherits(gTree, \"gTree\"))\n    stop(\"it is only valid to remove a child from a \\\"gTree\\\"\")\n  if (grep) {\n    old.pos <- grep(name, gTree$childrenOrder)\n    if (length(old.pos) == 0L)\n      old.pos <- 0\n  } else {\n    old.pos <- match(name, gTree$childrenOrder, nomatch=0)\n  }\n  if (old.pos > 0) {\n    # name might be a regexp so use real name\n    gTree$children[[gTree$childrenOrder[old.pos]]] <- NULL\n    gTree$childrenOrder <- gTree$childrenOrder[-old.pos]\n    gTree\n  } else {\n    NULL\n  }\n}\n\n# A gPath may specify the child of a gTree\n# (or the child of a child of a gTree, or ...)\nremoveGrobFromGPath <- function(grob, name, pathsofar, gPath, strict,\n                                grep, grepname, global, warn) {\n  UseMethod(\"removeGrobFromGPath\")\n}\n\n# If it's not a grob then fail\n# Handles case when traversing DL\nremoveGrobFromGPath.default <- function(grob, name,\n                                        pathsofar, gPath, strict,\n                                        grep, grepname, global, warn) {\n  NULL\n}\n\n# ALWAYS fail\n# (either no match or match but grob has no children!)\nremoveGrobFromGPath.grob <- function(grob, name,\n                                     pathsofar, gPath, strict,\n                                     grep, grepname, global, warn) {\n  NULL\n}\n\nremoveGTree <- function(gTree, name, pathsofar, gPath, strict,\n                        grep, grepname, global, warn) {\n  # Try to find pathsofar at start of gPath\n  # NOTE: may be called directly with pathsofar=NULL\n  if (is.null(pathsofar) ||\n      (!strict && depth(gPath) == 1) ||\n      partialPathMatch(pathsofar, gPath$path, strict, grep)) {\n    found <- FALSE\n    index <- 1\n    # Search children for match\n    while (index <= length(gTree$childrenOrder) &&\n           (!found || global)) {\n      childName <- gTree$childrenOrder[index]\n      child <- gTree$children[[childName]]\n      # Special case when strict is FALSE and depth(gPath) is 1\n      # Just check for gPath$name amongst children and recurse if no match\n      if (!strict && depth(gPath) == 1) {\n        # NOTE: child has to be a gTree if we hope to find a child in it!\n        if (inherits(child, \"gTree\") &&\n            nameMatch(gPath$name, childName, grep)) {\n          newchild <- removeFromGTree(child, name, grepname)\n          if (!is.null(newchild)) {\n            gTree$children[[childName]] <- newchild\n            found <- TRUE\n          }\n        } else {\n          if (is.null(pathsofar))\n            newpathsofar <- child$name\n          else\n            newpathsofar <- paste0(pathsofar, .grid.pathSep, childName)\n          if (!is.null(newChild <- removeGrobFromGPath(child, name,\n                                                       newpathsofar,\n                                                       gPath, strict,\n                                                       grep, grepname,\n                                                       global, warn))) {\n            gTree$children[[childName]] <- newChild\n            found <- TRUE\n          }\n        }\n      } else {\n        # Only check for match with child if have full match with pathsofar\n        # If it's a complete match, look for gPath$name amongst child\n        # NOTE: may be called directly with pathsofar=NULL\n        if (fullPathMatch(pathsofar, gPath, strict, grep)) {\n          # NOTE: child has to be a gTree if we hope to find a child in it!\n          if (inherits(child, \"gTree\") &&\n              nameMatch(gPath$name, childName, grep[depth(gPath)])) {\n            newchild <- removeFromGTree(child, name, grepname)\n            if (!is.null(newchild)) {\n              gTree$children[[childName]] <- newchild\n              found <- TRUE\n            }\n          }\n        # Otherwise recurse down child\n        } else {\n          # NOTE: may be called directly with pathsofar=NULL\n          if (is.null(pathsofar))\n            newpathsofar <- child$name\n          else\n            newpathsofar <- paste0(pathsofar, .grid.pathSep, childName)\n          if (!is.null(newChild <- removeGrobFromGPath(child, name,\n                                                       newpathsofar,\n                                                       gPath, strict,\n                                                       grep, grepname,\n                                                       global, warn))) {\n            gTree$children[[childName]] <- newChild\n            found <- TRUE\n          }\n        }\n      }\n      index <- index + 1\n    }\n    if (found)\n      gTree\n    else\n      NULL\n  } else {\n    NULL\n  }\n}\n\nremoveGrobFromGPath.gTree <- function(grob, name,\n                                      pathsofar, gPath, strict,\n                                      grep, grepname, global, warn) {\n  if (depth(gPath) == 1) {\n    if (nameMatch(gPath$name, grob$name, grep))\n      removeFromGTree(grob, name, grepname)\n    else\n      if (strict)\n        NULL\n      else\n        removeGTree(grob, name,\n                    if (is.null(pathsofar)) grob$name else pathsofar,\n                    gPath, strict, grep, grepname, global, warn)\n  } else {\n    removeGTree(grob, name,\n                if (is.null(pathsofar)) grob$name else pathsofar,\n                gPath, strict, grep, grepname, global, warn)\n  }\n}\n\nremoveDLFromGPath <- function(gPath, name, strict, grep, grepname, global,\n                              warn, redraw) {\n  dl.index <- grid.Call(C_getDLindex)\n  index <- 1\n  grob <- NULL\n  found <- FALSE\n  while (index < dl.index &&\n         (is.null(grob) || global)) {\n    grob <- removeGrobFromGPath(grid.Call(C_getDLelt, as.integer(index)),\n                                name,\n                                NULL, gPath, strict, grep, grepname,\n                                global, warn)\n    if (!is.null(grob)) {\n      # Destructively modify the DL elt\n      grid.Call(C_setDLindex, as.integer(index))\n      grid.Call(C_setDLelt, grob)\n      # Reset the DL index\n      grid.Call(C_setDLindex, as.integer(dl.index))\n      found <- TRUE\n    }\n    index <- index + 1\n  }\n  if (!found)\n    stop(gettextf(\"gPath (%s) not found\",\n                  paste(gPath, name, sep=.grid.pathSep)),\n                  domain = NA)\n  else if (redraw)\n    draw.all()\n}\n\n#####\n##### Remove NAME support\n#####\n\n# NEVER called when strict=TRUE\nremoveGrobFromName <- function(grob, name, grep, global, warn) {\n  UseMethod(\"removeGrobFromName\")\n}\n\nremoveGrobFromName.grob <- function(grob, name, grep, global, warn) {\n  NULL\n}\n\n# For a gTree, just recurse straight back to removeName\nremoveGrobFromName.gTree <- function(grob, name, grep, global, warn) {\n    removeName(grob, name, FALSE, grep, global, warn)\n}\n\nremoveName <- function(gTree, name, strict, grep, global, warn) {\n  found <- FALSE\n  index <- 1\n  # Search children for match\n  while (index <= length(gTree$childrenOrder) &&\n         (!found || global)) {\n    childName <- gTree$childrenOrder[index]\n    child <- gTree$children[[childName]]\n    # Just check child name and recurse if no match\n    if (nameMatch(name, childName, grep)) {\n      # name might be a regexp, so get real name\n      gTree$children[[gTree$childrenOrder[index]]] <- NULL\n      gTree$childrenOrder <- gTree$childrenOrder[-index]\n      found <- TRUE\n      # If deleted the child, do NOT increase index!\n    } else if (strict) {\n      NULL\n      index <- index + 1\n    } else {\n      if (!is.null(newChild <- removeGrobFromName(child, name,\n                                                  grep, global, warn))) {\n        gTree$children[[childName]] <- newChild\n        found <- TRUE\n      }\n      index <- index + 1\n    }\n  }\n  if (found)\n    gTree\n  else\n    NULL\n}\n\nremoveNameFromDL <- function(name, strict, grep, global, warn, redraw) {\n  dl.index <- grid.Call(C_getDLindex)\n  index <- 1\n  grob <- NULL\n  found <- FALSE\n  while (index < dl.index &&\n         (is.null(grob) || global)) {\n    grob <- grid.Call(C_getDLelt, as.integer(index))\n    if (inherits(grob, \"grob\")) {\n      # If match top-level grob, remove it from DL\n      if (nameMatch(name, grob$name, grep)) {\n        # Destructively modify the DL elt\n        grid.Call(C_setDLindex, as.integer(index))\n        grid.Call(C_setDLelt, NULL)\n        # Reset the DL index\n        grid.Call(C_setDLindex, as.integer(dl.index))\n        found <- TRUE\n      # Otherwise search down it for match\n      } else {\n        if (!strict) {\n          grob <- removeGrobFromName(grob, name, grep, global, warn)\n          if (!is.null(grob)) {\n            # Destructively modify the DL elt\n            grid.Call(C_setDLindex, as.integer(index))\n            grid.Call(C_setDLelt, grob)\n            # Reset the DL index\n            grid.Call(C_setDLindex, as.integer(dl.index))\n            found <- TRUE\n          }\n        }\n      }\n    } else {\n      grob <- NULL\n    }\n    index <- index + 1\n  }\n  if (!found) {\n    if (warn)\n        stop(gettextf(\"gPath (%s) not found\", name), domain = NA)\n  } else if (redraw)\n    draw.all()\n}\n\n################\n# Finding a grob from a grob name\n################\nfindgrob <- function(x, name) {\n  UseMethod(\"findgrob\")\n}\n\nfindgrob.default <- function(x, name) {\n  NULL\n}\n\nfindgrob.grob <- function(x, name) {\n  if (match(name, x$name, nomatch=0L))\n    x\n  else\n    NULL\n}\n\nfindGrobinDL <- function(name) {\n  dl.index <- grid.Call(C_getDLindex)\n  result <- NULL\n  index <- 1\n  while (index < dl.index && is.null(result)) {\n    result <- findgrob(grid.Call(C_getDLelt, as.integer(index)), name)\n    index <- index + 1\n  }\n  if (is.null(result))\n    stop(gettextf(\"grob '%s' not found\", name), domain = NA)\n  result\n}\n\nfindGrobinChildren <- function(name, children) {\n  nc <- length(children)\n  result <- NULL\n  index <- 1\n  while (index <= nc && is.null(result)) {\n    result <- findgrob(children[[index]], name)\n    index <- index + 1\n  }\n  if (is.null(result))\n    stop(gettextf(\"grob '%s' not found\", name), domain = NA)\n  result\n}\n\n################\n# grid.draw\n################\n# Use generic function \"draw\" rather than generic function \"print\"\n# because want graphics functions to produce graphics output\n# without having to be evaluated at the command-line AND without having\n# to necessarily produce a single graphical object as the return value\n# (i.e., so that simple procedural code can be written just for its\n# side-effects).\n# For example, so that the following code will draw\n# a rectangle AND a line:\n#   temp <- function() { grid.lines(); grid.rect() }\n#   temp()\ngrid.draw <- function(x, recording=TRUE) {\n    # If 'x' is NULL, draw nothing\n    if (!is.null(x))\n        UseMethod(\"grid.draw\")\n}\n\ngrid.draw.viewport <- function(x, recording) {\n  pushViewport(x, recording=FALSE)\n}\n\ngrid.draw.vpPath <- function(x, recording) {\n  # Assumes strict=FALSE, BUT in order to get onto\n  # display list it must have worked => strict same as non-strict\n  downViewport(x, recording=FALSE)\n}\n\ngrid.draw.pop <- function(x, recording) {\n  popViewport(x, recording=FALSE)\n}\n\ngrid.draw.up <- function(x, recording) {\n  upViewport(x, recording=FALSE)\n}\n\npushgrobvp <- function(vp) {\n  UseMethod(\"pushgrobvp\")\n}\n\npushgrobvp.viewport <- function(vp) {\n  pushViewport(vp, recording=FALSE)\n}\n\npushgrobvp.vpPath <- function(vp) {\n  downViewport(vp, strict=TRUE, recording=FALSE)\n}\n\npopgrobvp <- function(vp) {\n  UseMethod(\"popgrobvp\")\n}\n\npopgrobvp.viewport <- function(vp) {\n  # NOTE that the grob's vp may be a vpStack/List/Tree\n  upViewport(depth(vp), recording=FALSE)\n}\n\npopgrobvp.vpPath <- function(vp) {\n  upViewport(depth(vp), recording=FALSE)\n}\n\npreDraw <- function(x) {\n  UseMethod(\"preDraw\")\n}\n\npushvpgp <- function(x) {\n  if (!is.null(x$vp))\n    pushgrobvp(x$vp)\n  if (!is.null(x$gp)) {\n    set.gpar(x$gp, engineDL=FALSE)\n  }\n}\n\nmakeContext <- function(x) {\n    UseMethod(\"makeContext\")\n}\n\nmakeContext.default <- function(x) {\n    x\n}\n\nmakeContent <- function(x) {\n    UseMethod(\"makeContent\")\n}\n\nmakeContent.default <- function(x) {\n    x\n}\n\npreDraw.grob <- function(x) {\n    # Allow customisation of x$vp\n    x <- makeContext(x)\n    # automatically push/pop the viewport and set/unset the gpar\n    pushvpgp(x)\n    preDrawDetails(x)\n    x\n}\n\npreDraw.gTree <- function(x) {\n    # Allow customisation of x$vp (and x$childrenvp)\n    x <- makeContext(x)\n    # Make this gTree the \"current grob\" for evaluation of\n    # grobwidth/height units via gPath\n    # Do this as a .Call.graphics to get it onto the base display list\n    grid.Call.graphics(C_setCurrentGrob, x)\n    # automatically push/pop the viewport\n    pushvpgp(x)\n    # Push then \"up\" childrenvp\n    if (!is.null(x$childrenvp)) {\n        # Save any x$gp gpar settings\n        tempgp <- grid.Call(C_getGPar)\n        pushViewport(x$childrenvp, recording=FALSE)\n        upViewport(depth(x$childrenvp), recording=FALSE)\n        # reset the x$gp gpar settings\n        # The upViewport above may have overwritten them with\n        # the previous vp$gp settings\n        grid.Call.graphics(C_setGPar, tempgp)\n    }\n    preDrawDetails(x)\n    x\n}\n\npostDraw <- function(x) {\n    UseMethod(\"postDraw\")\n}\n\npostDraw.grob <- function(x) {\n    postDrawDetails(x)\n    if (!is.null(x$vp))\n        popgrobvp(x$vp)\n}\n\ndrawGrob <- function(x) {\n    # Temporarily turn off the grid DL so that\n    # nested calls to drawing code do not get recorded\n    dlon <- grid.Call(C_setDLon, FALSE)\n    # If get error or user-interrupt, need to reset state\n    # Need to turn grid DL back on (if it was on)\n    on.exit(grid.Call(C_setDLon, dlon))\n    # Save current gpar\n    tempgpar <- grid.Call(C_getGPar)\n    # If get error or user-interrupt, need to reset state\n    # Need to restore current grob (gtree predraw sets current grob)\n    # Need to restore gpar settings (set by gtree itself and/or its vp)\n    # This does not need to be a grid.Call.graphics() because\n    # we are nested within a recordGraphics()\n    # Do not call set.gpar because set.gpar accumulates cex\n    on.exit(grid.Call(C_setGPar, tempgpar), add=TRUE)\n    # Setting up the drawing context may involve modifying the grob\n    # (typically only x$vp) but the modified grob is needed for postDraw()\n    x <- preDraw(x)\n    # Allow customisation of x\n    # (should only return a basic grob that has a drawDetails()\n    #  method, otherwise nothing will be drawn)\n    x <- makeContent(x)\n    # Do any class-specific drawing\n    drawDetails(x, recording=FALSE)\n    postDraw(x)\n}\n\ngrid.draw.grob <- function(x, recording=TRUE) {\n    engineDLon <- grid.Call(C_getEngineDLon)\n    if (engineDLon)\n        recordGraphics(drawGrob(x),\n                       list(x=x),\n                       getNamespace(\"grid\"))\n    else\n        drawGrob(x)\n    if (recording)\n        record(x)\n    invisible()\n}\n\ndrawGList <- function(x) {\n    # DO NOT turn off grid DL.\n    # A top-level gList does not itself go on the DL,\n    # but its children do.\n    # A gList which is part of some other grob (e.g., children\n    # of a gTree) will be \"protected\" by the gTree\n    # turning off the DL.\n    lapply(x, grid.draw)\n}\n\ngrid.draw.gList <- function(x, recording=TRUE) {\n    engineDLon <- grid.Call(C_getEngineDLon)\n    if (engineDLon)\n        recordGraphics(drawGList(x),\n                       list(x=x),\n                       getNamespace(\"grid\"))\n    else\n        drawGList(x)\n    invisible()\n}\n\ndrawGTree <- function(x) {\n    # Temporarily turn off the grid DL so that\n    # nested calls to drawing code do not get recorded\n    dlon <- grid.Call(C_setDLon, FALSE)\n    # If get error or user-interrupt, need to reset state\n    # Need to turn grid DL back on (if it was on)\n    on.exit(grid.Call(C_setDLon, dlon))\n    # Save current grob and current gpar\n    tempgrob <- grid.Call(C_getCurrentGrob)\n    tempgpar <- grid.Call(C_getGPar)\n    # If get error or user-interrupt, need to reset state\n    # Need to restore current grob (gtree predraw sets current grob)\n    # Need to restore gpar settings (set by gtree itself and/or its vp)\n    # This does not need to be a grid.Call.graphics() because\n    # we are nested within a recordGraphics()\n    # Do not call set.gpar because set.gpar accumulates cex\n    on.exit({ grid.Call(C_setGPar, tempgpar)\n              grid.Call(C_setCurrentGrob, tempgrob)\n            }, add=TRUE)\n    # Setting up the drawing context may involve modifying the grob\n    # (typically only x$vp) but the modified grob is needed for postDraw()\n    x <- preDraw(x)\n    # Allow customisation of x (should be confined to x$children)\n    x <- makeContent(x)\n    # Do any class-specific drawing\n    drawDetails(x, recording=FALSE)\n    # Draw all children IN THE RIGHT ORDER\n    for (i in x$childrenOrder)\n      grid.draw(x$children[[i]], recording=FALSE)\n    postDraw(x)\n}\n\ngrid.draw.gTree <- function(x, recording=TRUE) {\n    engineDLon <- grid.Call(C_getEngineDLon)\n    if (engineDLon)\n        recordGraphics(drawGTree(x),\n                       list(x=x),\n                       getNamespace(\"grid\"))\n    else\n        drawGTree(x)\n    if (recording)\n        record(x)\n    invisible()\n}\n\ndraw.all <- function() {\n    grid.newpage(recording=FALSE)\n    dl.index <- grid.Call(C_getDLindex)\n    if (dl.index > 1)\n        # Start at 2 because first element is viewport[ROOT]\n        for (i in 2:dl.index) {\n            grid.draw(grid.Call(C_getDLelt, as.integer(i - 1)),\n                      recording=FALSE)\n        }\n}\n\ndraw.details <- function(x, recording) {\n    .Defunct(\"drawDetails\")\n}\n\npreDrawDetails <- function(x) {\n    UseMethod(\"preDrawDetails\")\n}\n\npreDrawDetails.grob <- function(x) {\n}\n\npostDrawDetails <- function(x) {\n    UseMethod(\"postDrawDetails\")\n}\n\npostDrawDetails.grob <- function(x) {\n}\n\ndrawDetails <- function(x, recording) {\n    UseMethod(\"drawDetails\")\n}\n\ndrawDetails.grob <- function(x, recording) {\n}\n\ngrid.copy <- function(grob) {\n    warning(\"this function is redundant and will disappear in future versions\",\n            domain = NA)\n    grob\n}\n\n################################\n# Flattening a grob\n\nforceGrob <- function(x) {\n    UseMethod(\"forceGrob\")\n}\n\n# The default action is to leave 'x' untouched\n# BUT it is also necessary to enforce the drawing context\n# for viewports and vpPaths\nforceGrob.default <- function(x) {\n    grid.draw(x, recording=FALSE)\n    x\n}\n\n# This allows 'x' to be modified, but may not\n# change 'x' at all\nforceGrob.grob <- function(x) {\n    # Copy of the original object to allow a \"revert\"\n    originalX <- x\n    # Same set up as drawGrob()\n    dlon <- grid.Call(C_setDLon, FALSE)\n    on.exit(grid.Call(C_setDLon, dlon))\n    tempgpar <- grid.Call(C_getGPar)\n    on.exit(grid.Call(C_setGPar, tempgpar), add=TRUE)\n    # Same drawing context set up as drawGrob()\n    # including enforcing the drawing context\n    x <- preDraw(x)\n    # Same drawing content set up as drawGrob() ...\n    x <- makeContent(x)\n    # BUT NO DRAWING\n    # Same context clean up as drawGrob()\n    postDraw(x)\n    # If 'x' has not changed, just return original 'x'\n    # Also, do not bother with saving original\n    # If 'x' has changed ...\n    if (!identical(x, originalX)) {\n        # Store the original object to allow a \"revert\"\n        x$.ORIGINAL <- originalX\n        # Return the 'x' that would have been drawn\n        # This will typically be a standard R primitive\n        # (which do not have makeContext() or makeContent()\n        #  methods, only drawDetails())\n        # BUT ot be safe add \"forcedgrob\" class so that subsequent\n        # draws will NOT run makeContext() or makeContent()\n        # methods\n        class(x) <- c(\"forcedgrob\", class(x))\n    }\n    x\n}\n\n# This allows 'x' to be modified, but may not\n# change 'x' at all\nforceGrob.gTree <- function(x) {\n    # Copy of the original object to allow a \"revert\"\n    originalX <- x\n    # Same set up as drawGTree()\n    dlon <- grid.Call(C_setDLon, FALSE)\n    on.exit(grid.Call(C_setDLon, dlon))\n    tempgrob <- grid.Call(C_getCurrentGrob)\n    tempgpar <- grid.Call(C_getGPar)\n    on.exit({ grid.Call(C_setGPar, tempgpar)\n              grid.Call(C_setCurrentGrob, tempgrob)\n            }, add=TRUE)\n    # Same drawing context set up as drawGTree(),\n    # including enforcing the drawing context\n    x <- preDraw(x)\n    # Same drawing content set up as drawGTree() ...\n    x <- makeContent(x)\n    # Ensure that children are also forced\n    x$children <- do.call(\"gList\", lapply(x$children, forceGrob))\n    # BUT NO DRAWING\n    # Same context clean up as drawGTree()\n    postDraw(x)\n    # If 'x' has changed ...\n    if (!identical(x, originalX)) {\n        # Store the original object to allow a \"revert\"\n        x$.ORIGINAL <- originalX\n        # Return the 'x' that would have been drawn\n        # This will typically be a vanilla gTree with children to draw\n        # (which will not have makeContext() or makeContent() methods)\n        # BUT to be safe add \"forcedgrob\" class so that subsequent\n        # draws will NOT run makeContext() or makeContent()\n        # methods\n        class(x) <- c(\"forcedgrob\", class(x))\n    }\n    x\n}\n\n# A \"forcedgrob\" does NOT modify context or content at\n# drawing time\nmakeContext.forcedgrob <- function(x) x\n\nmakeContent.forcedgrob <- function(x) x\n\ngrid.force <- function(x, ...) {\n    UseMethod(\"grid.force\")\n}\n\ngrid.force.default <- function(x, redraw = FALSE, ...) {\n    if (!missing(x))\n        stop(\"Invalid force target\")\n    # Must upViewport(0) otherwise you risk running the display\n    # list from something other than the ROOT viewport\n    oldcontext <- upViewport(0, recording=FALSE)\n    dl.index <- grid.Call(C_getDLindex)\n    if (dl.index > 1) {\n        # Start at 2 because first element is viewport[ROOT]\n        for (i in 2:dl.index) {\n            grid.Call(C_setDLindex, as.integer(i - 1))\n            grid.Call(C_setDLelt,\n                      forceGrob(grid.Call(C_getDLelt, as.integer(i - 1))))\n        }\n        grid.Call(C_setDLindex, dl.index)\n    }\n    if (redraw) {\n        draw.all()\n    }\n    # Try to go back to original context\n    if (length(oldcontext)) {\n        seekViewport(oldcontext, recording=FALSE)\n    }\n}\n\ngrid.force.grob <- function(x, draw = FALSE, ...) {\n    fx <- forceGrob(x)\n    if (draw)\n        grid.draw(fx)\n    fx\n}\n\ngrid.force.character <- function(x, ...) {\n    grid.force(gPath(x), ...)\n}\n\ngrid.force.gPath <- function(x,\n                             strict=FALSE, grep=FALSE, global=FALSE,\n                             redraw = FALSE, ...) {\n    # Use viewports=TRUE so that get vpPaths in result\n    paths <- grid.grep(x, viewports = TRUE,\n                       strict = strict, grep = grep, global = global)\n    f <- function(path, ...) {\n        # Only force grobs or gTrees\n        # (might have vpPaths because we said grid.grep(viewports=TRUE))\n        if (!inherits(path, \"gPath\")) return()\n        target <- grid.get(path, strict=TRUE)\n        vpPath <- attr(path, \"vpPath\")\n        depth <- 0\n        if (nchar(vpPath))\n            depth <- downViewport(vpPath, recording=FALSE)\n        forcedgrob <- forceGrob(target, ...)\n        if (depth > 0)\n            upViewport(depth, recording=FALSE)\n        grid.set(path, strict=TRUE, forcedgrob)\n    }\n    if (length(paths)) {\n        # To get the force happening in the correct context ...\n        oldcontext <- upViewport(0, recording=FALSE)\n        if (global) {\n            lapply(paths, f, ...)\n        } else {\n            f(paths, ...)\n        }\n        if (redraw) {\n            draw.all()\n        }\n        # Try to go back to original context\n        if (length(oldcontext))\n            seekViewport(oldcontext, recording=FALSE)\n    }\n    invisible()\n}\n\nrevert <- function(x) {\n    UseMethod(\"revert\")\n}\n\nrevert.default <- function(x) {\n    x\n}\n\n# Only need to revert \"forcedgrob\"s\nrevert.forcedgrob <- function(x) {\n    x$.ORIGINAL\n}\n\n# No need for recursion for gTree because if top-level grob\n# changed its children then top-level grob will have retained\n# revert version of its entire self (including children)\n\n# NOTE that things will get much trickier if allow\n# grid.revert(gPath = ...)\ngrid.revert <- function(x, ...) {\n    UseMethod(\"grid.revert\")\n}\n\ngrid.revert.default <- function(x, redraw=FALSE, ...) {\n    if (!missing(x))\n        stop(\"Invalid revert target\")\n    dl.index <- grid.Call(C_getDLindex)\n    if (dl.index > 1) {\n        # Start at 2 because first element is viewport[ROOT]\n        for (i in 2:dl.index) {\n            grid.Call(C_setDLindex, as.integer(i - 1))\n            grid.Call(C_setDLelt,\n                      revert(grid.Call(C_getDLelt, as.integer(i - 1))))\n        }\n        grid.Call(C_setDLindex, dl.index)\n    }\n    if (redraw) {\n        draw.all()\n    }\n}\n\ngrid.revert.grob <- function(x, draw=FALSE, ...) {\n    rx <- revert(x)\n    if (draw) {\n        grid.draw(x)\n    }\n    rx\n}\n\ngrid.revert.character <- function(x, ...) {\n    grid.revert(gPath(x), ...)\n}\n\ngrid.revert.gPath <- function(x,\n                              strict=FALSE, grep=FALSE, global=FALSE,\n                              redraw = FALSE, ...) {\n    paths <- grid.grep(x, strict = strict, grep = grep, global = global)\n    f <- function(path, ...) {\n        grid.set(path, strict=TRUE,\n                 revert(grid.get(path, strict=TRUE), ...))\n    }\n    if (length(paths)) {\n        if (global) {\n            lapply(paths, f, ...)\n        } else {\n            f(paths, ...)\n        }\n        if (redraw) {\n            draw.all()\n        }\n    }\n    invisible()\n}\n\n###############################\n# Reordering grobs\n\n# Reorder the children of a gTree\n# Order may be specified as a character vector\n#   Character vector MUST name existing children\n# Order may be specified as a numeric vector\n#   (which makes it easy to say something like\n#    \"make last child the first child\")\n#   Numeric vector MUST be within range 1:numChildren\n# Only unique order values used\n# Any children NOT specified by order are appended to\n#   front or back of order (depending on 'front' argument)\n# Order is ALWAYS back-to-front\nreorderGrob <- function(x, order, back=TRUE) {\n    if (!inherits(x, \"gTree\"))\n        stop(\"can only reorder 'children' for a \\\"gTree\\\"\")\n    order <- unique(order)\n    oldOrder <- x$childrenOrder\n    N <- length(oldOrder)\n    if (is.character(order)) {\n        # Convert to numeric\n        order <- match(order, x$childrenOrder)\n    }\n    if (is.numeric(order)) {\n        if (any(!is.finite(order)) ||\n            !(all(order %in% 1:N))) {\n            stop(\"Invalid 'order'\")\n        }\n        if (back) {\n            newOrder <- c(x$childrenOrder[order],\n                          x$childrenOrder[-order])\n        } else {\n            newOrder <- c(x$childrenOrder[-order],\n                          x$childrenOrder[order])\n        }\n    }\n    x$childrenOrder <- newOrder\n    x\n}\n\n# Reorder the children of a gTree on the display list\n# (identified by a gPath)\n# NOTE that it is possible for this operation to produce a grob\n# that no longer draws (because it relies on another grob that\n# used to be drawn before it, e.g., when the width of grob \"b\"\n# is calculated from the width of grob \"a\")\n# Do NOT allow reordering of grobs on the display list\n# (it is not even clear what should happen in terms of reordering\n#  grobs mixed with viewports PLUS the potential for ending up with\n#  something that will not draw is pretty high)\n# IF you want to reorder the grobs on the DL, do a grid.grab()\n# first and then reorder the children of the resulting gTree\ngrid.reorder <- function(gPath, order, back=TRUE, grep=FALSE, redraw=TRUE) {\n    grob <- grid.get(gPath, grep=grep)\n    grid.set(gPath, reorderGrob(grob, order, back=back),\n             grep=grep, redraw=redraw)\n}\n","normpath":"/Users/thomas/Dropbox/GitHub/grid/R/grob.R"},{"filename":"ggplot2/R/layout.R","content":"# The job of `Layout` is to coordinate:\n# * The coordinate system\n# * The faceting specification\n# * The individual position scales for each panel\n#\n# This includes managing the parameters for the facet and the coord\n# so that we don't modify the ggproto object in place.\n\ncreate_layout <- function(facet = FacetNull, coord = CoordCartesian) {\n  ggproto(NULL, Layout, facet = facet, coord = coord)\n}\n#' @rdname ggplot2-ggproto\n#' @format NULL\n#' @usage NULL\n#' @export\nLayout <- ggproto(\"Layout\", NULL,\n  # The coordinate system and its parameters\n  coord = NULL,\n  coord_params = list(),\n\n  # The faceting specification and its parameters\n  facet = NULL,\n  facet_params = list(),\n\n  # A data frame giving the layout of the data into panels\n  layout = NULL,\n\n  # Per panel scales and params\n  panel_scales_x = NULL,\n  panel_scales_y = NULL,\n  panel_params = NULL,\n\n  setup = function(self, data, plot_data = new_data_frame(), plot_env = emptyenv()) {\n    data <- c(list(plot_data), data)\n\n    # Setup facets\n    self$facet_params <- self$facet$setup_params(data, self$facet$params)\n    self$facet_params$plot_env <- plot_env\n    data <- self$facet$setup_data(data, self$facet_params)\n\n    # Setup coords\n    self$coord_params <- self$coord$setup_params(data)\n    data <- self$coord$setup_data(data, self$coord_params)\n\n    # Generate panel layout\n    self$layout <- self$facet$compute_layout(data, self$facet_params)\n    self$layout <- self$coord$setup_layout(self$layout, self$coord_params)\n    check_layout(self$layout)\n\n    # Add panel coordinates to the data for each layer\n    lapply(data[-1], self$facet$map_data,\n      layout = self$layout,\n      params = self$facet_params\n    )\n  },\n\n  # Assemble the facet fg & bg, the coord fg & bg, and the layers\n  # Returns a gtable\n  render = function(self, panels, data, theme, labels) {\n    facet_bg <- self$facet$draw_back(data,\n      self$layout,\n      self$panel_scales_x,\n      self$panel_scales_y,\n      theme,\n      self$facet_params\n    )\n    facet_fg <- self$facet$draw_front(\n      data,\n      self$layout,\n      self$panel_scales_x,\n      self$panel_scales_y,\n      theme,\n      self$facet_params\n    )\n\n    # Draw individual panels, then assemble into gtable\n    panels <- lapply(seq_along(panels[[1]]), function(i) {\n      panel <- lapply(panels, `[[`, i)\n      panel <- c(facet_bg[i], panel, facet_fg[i])\n\n      coord_fg <- self$coord$render_fg(self$panel_params[[i]], theme)\n      coord_bg <- self$coord$render_bg(self$panel_params[[i]], theme)\n      if (isTRUE(theme$panel.ontop)) {\n        panel <- c(panel, list(coord_bg), list(coord_fg))\n      } else {\n        panel <- c(list(coord_bg), panel, list(coord_fg))\n      }\n\n      ggname(\n        paste(\"panel\", i, sep = \"-\"),\n        gTree(children = do.call(\"gList\", panel))\n      )\n    })\n    plot_table <- self$facet$draw_panels(\n      panels,\n      self$layout,\n      self$panel_scales_x,\n      self$panel_scales_y,\n      self$panel_params,\n      self$coord,\n      data,\n      theme,\n      self$facet_params\n    )\n\n    # Draw individual labels, then add to gtable\n    labels <- self$coord$labels(list(\n      x = self$xlabel(labels),\n      y = self$ylabel(labels)\n    ))\n    labels <- self$render_labels(labels, theme)\n    self$facet$draw_labels(\n      plot_table,\n      self$layout,\n      self$panel_scales_x,\n      self$panel_scales_y,\n      self$panel_params,\n      self$coord,\n      data,\n      theme,\n      labels,\n      self$params\n    )\n  },\n\n  train_position = function(self, data, x_scale, y_scale) {\n    # Initialise scales if needed, and possible.\n    layout <- self$layout\n    if (is.null(self$panel_scales_x)) {\n      self$panel_scales_x <- self$facet$init_scales(layout, x_scale = x_scale,\n        params = self$facet_params)$x\n    }\n    if (is.null(self$panel_scales_y)) {\n      self$panel_scales_y <- self$facet$init_scales(layout, y_scale = y_scale,\n        params = self$facet_params)$y\n    }\n\n    self$facet$train_scales(\n      self$panel_scales_x,\n      self$panel_scales_y,\n      layout,\n      data,\n      self$facet_params\n    )\n  },\n\n  map_position = function(self, data) {\n    layout <- self$layout\n\n    lapply(data, function(layer_data) {\n      match_id <- match(layer_data$PANEL, layout$PANEL)\n\n      # Loop through each variable, mapping across each scale, then joining\n      # back together\n      x_vars <- intersect(self$panel_scales_x[[1]]$aesthetics, names(layer_data))\n      names(x_vars) <- x_vars\n      SCALE_X <- layout$SCALE_X[match_id]\n      new_x <- scale_apply(layer_data, x_vars, \"map\", SCALE_X, self$panel_scales_x)\n      layer_data[, x_vars] <- new_x\n\n      y_vars <- intersect(self$panel_scales_y[[1]]$aesthetics, names(layer_data))\n      names(y_vars) <- y_vars\n      SCALE_Y <- layout$SCALE_Y[match_id]\n      new_y <- scale_apply(layer_data, y_vars, \"map\", SCALE_Y, self$panel_scales_y)\n      layer_data[, y_vars] <- new_y\n\n      layer_data\n    })\n  },\n\n  reset_scales = function(self) {\n    if (!self$facet$shrink) return()\n    lapply(self$panel_scales_x, function(s) s$reset())\n    lapply(self$panel_scales_y, function(s) s$reset())\n    invisible()\n  },\n\n  finish_data = function(self, data) {\n    lapply(data, self$facet$finish_data,\n      layout = self$layout,\n      x_scales = self$panel_scales_x,\n      y_scales = self$panel_scales_y,\n      params = self$facet_params\n    )\n  },\n\n  get_scales = function(self, i) {\n    this_panel <- self$layout[self$layout$PANEL == i, ]\n\n    list(\n      x = self$panel_scales_x[[this_panel$SCALE_X]],\n      y = self$panel_scales_y[[this_panel$SCALE_Y]]\n    )\n  },\n\n  setup_panel_params = function(self) {\n    # Fudge for CoordFlip and CoordPolar - in place modification of\n    # scales is not elegant, but it is pragmatic\n    self$coord$modify_scales(self$panel_scales_x, self$panel_scales_y)\n\n    scales_x <- self$panel_scales_x[self$layout$SCALE_X]\n    scales_y <- self$panel_scales_y[self$layout$SCALE_Y]\n\n    setup_panel_params <- function(scale_x, scale_y) {\n      self$coord$setup_panel_params(scale_x, scale_y, params = self$coord_params)\n    }\n    self$panel_params <- Map(setup_panel_params, scales_x, scales_y)\n\n    invisible()\n  },\n\n  xlabel = function(self, labels) {\n    primary <- self$panel_scales_x[[1]]$name %|W|% labels$x\n    primary <- self$panel_scales_x[[1]]$make_title(primary)\n    secondary <- if (is.null(self$panel_scales_x[[1]]$secondary.axis)) {\n      waiver()\n    } else {\n      self$panel_scales_x[[1]]$sec_name()\n    } %|W|% labels$sec.x\n    if (is.derived(secondary)) secondary <- primary\n    secondary <- self$panel_scales_x[[1]]$make_sec_title(secondary)\n    list(primary = primary, secondary = secondary)[self$panel_scales_x[[1]]$axis_order()]\n  },\n\n  ylabel = function(self, labels) {\n    primary <- self$panel_scales_y[[1]]$name %|W|% labels$y\n    primary <- self$panel_scales_y[[1]]$make_title(primary)\n    secondary <- if (is.null(self$panel_scales_y[[1]]$secondary.axis)) {\n      waiver()\n    } else {\n      self$panel_scales_y[[1]]$sec_name()\n    } %|W|% labels$sec.y\n    if (is.derived(secondary)) secondary <- primary\n    secondary <- self$panel_scales_y[[1]]$make_sec_title(secondary)\n    list(primary = primary, secondary = secondary)[self$panel_scales_y[[1]]$axis_order()]\n  },\n\n  render_labels = function(self, labels, theme) {\n    label_grobs <- lapply(names(labels), function(label) {\n      lapply(c(1, 2), function(i) {\n        modify <- if (i == 1) {\n          switch(label, x = \".top\", y = \".left\")\n        } else {\n          switch(label, x = \".bottom\", y = \".right\")\n        }\n        if (is.null(labels[[label]][[i]]) || is.waive(labels[[label]][[i]]))\n          return(zeroGrob())\n\n        element_render(\n          theme = theme,\n          element = paste0(\"axis.title.\", label, modify),\n          label = labels[[label]][[i]],\n          margin_x = label == \"y\",\n          margin_y = label == \"x\"\n        )\n      })\n    })\n    names(label_grobs) <- names(labels)\n    label_grobs\n  }\n)\n\n\n# Helpers -----------------------------------------------------------------\n\n# Function for applying scale method to multiple variables in a given\n# data set.  Implement in such a way to minimize copying and hence maximise\n# speed\nscale_apply <- function(data, vars, method, scale_id, scales) {\n  if (length(vars) == 0) return()\n  if (nrow(data) == 0) return()\n\n  if (any(is.na(scale_id))) stop()\n\n  scale_index <- unname(split(\n    seq_along(scale_id),\n    factor(scale_id, levels = seq_along(scales))\n  ))\n\n  lapply(vars, function(var) {\n    pieces <- lapply(seq_along(scales), function(i) {\n      scales[[i]][[method]](data[[var]][scale_index[[i]]])\n    })\n    # Join pieces back together, if necessary\n    if (!is.null(pieces)) {\n      unlist(pieces)[order(unlist(scale_index))]\n    }\n  })\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/layout.R"},{"filename":"ggplot2/R/utilities-grid.r","content":"#' @export\ngrid::unit\n\n#' @export\ngrid::arrow\n\n# Name ggplot grid object\n# Convenience function to name grid objects\n#\n# @keyword internal\nggname <- function(prefix, grob) {\n  grob$name <- grobName(grob, prefix)\n  grob\n}\n\nwidth_cm <- function(x) {\n  if (is.grob(x)) {\n    convertWidth(grobWidth(x), \"cm\", TRUE)\n  } else if (is.unit(x)) {\n    convertWidth(x, \"cm\", TRUE)\n  } else if (is.list(x)) {\n    vapply(x, width_cm, numeric(1))\n  } else {\n    stop(\"Unknown input\")\n  }\n}\nheight_cm <- function(x) {\n  if (is.grob(x)) {\n    convertHeight(grobHeight(x), \"cm\", TRUE)\n  } else if (is.unit(x)) {\n    convertHeight(x, \"cm\", TRUE)\n  } else if (is.list(x)) {\n    vapply(x, height_cm, numeric(1))\n  } else {\n    stop(\"Unknown input\")\n  }\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/utilities-grid.r"},{"filename":"grid/R/grid.R","content":"#  File src/library/grid/R/grid.R\n#  Part of the R package, https://www.R-project.org\n#\n#  Copyright (C) 1995-2016 The R Core Team\n#\n#  This program is free software; you can redistribute it and/or modify\n#  it under the terms of the GNU General Public License as published by\n#  the Free Software Foundation; either version 2 of the License, or\n#  (at your option) any later version.\n#\n#  This program is distributed in the hope that it will be useful,\n#  but WITHOUT ANY WARRANTY; without even the implied warranty of\n#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#  GNU General Public License for more details.\n#\n#  A copy of the GNU General Public License is available at\n#  https://www.R-project.org/Licenses/\n\n\n# FIXME:  all grid functions should check that .grid.started is TRUE\n.grid.loaded <- FALSE\n\npush.vp <- function(vp, recording) {\n  UseMethod(\"push.vp\")\n}\n\npush.vp.default <- function(vp, recording) {\n  stop(\"only valid to push viewports\")\n}\n\npush.vp.viewport <- function(vp, recording) {\n  # Record on the display list\n  if (recording)\n    record(vp)\n  # Store the entire set of gpar settings JUST PRIOR to push\n  # We refer to this when calculating the viewport transform\n  # We cannot simply rely on parent's gpar because we may be\n  # being pushed from within a gTree which has enforced gpar\n  # settings (i.e., the gTree$gp is enforced between this viewport\n  # and the this viewport's parent$gp)\n  vp$parentgpar <- grid.Call(C_getGPar)\n  # Enforce gpar settings\n  set.gpar(vp$gp)\n  # Store the entire set of gpar settings for this viewport\n  vp$gpar <- grid.Call(C_getGPar)\n  # Pass in the pushedvp structure which will be used to store\n  # things like the viewport transformation, parent-child links, ...\n  # In C code, a pushedvp object is created, with a call to pushedvp(),\n  # for the system to keep track of\n  # (it happens in C code so that a \"normal\" vp gets recorded on the\n  #  display list rather than a \"pushedvp\")\n  grid.Call.graphics(C_setviewport, vp, TRUE)\n}\n\n# For all but the last viewport, push the\n# viewport then pop it\n# For the last viewport, just push\npush.vp.vpList <- function(vp, recording) {\n  push.vp.parallel <- function(vp, recording) {\n    push.vp(vp, recording)\n    upViewport(depth(vp), recording)\n  }\n  if (length(vp) == 1)\n    push.vp(vp[[1L]], recording)\n  else {\n    lapply(vp[1L:(length(vp) - 1)], push.vp.parallel, recording)\n    push.vp(vp[[length(vp)]], recording)\n  }\n}\n\n# Push viewports in series\npush.vp.vpStack <- function(vp, recording) {\n  lapply(vp, push.vp, recording)\n}\n\n# Push parent\n# Children are a vpList\npush.vp.vpTree <- function(vp, recording) {\n  # Special case if user has saved the entire vpTree\n  # parent will be the ROOT viewport, which we don't want to\n  # push (grid ensures it is ALWAYS there)\n  if (!(vp$parent$name %in% \"ROOT\"))\n    push.vp(vp$parent, recording)\n  push.vp(vp$children, recording)\n}\n\n# \"push\"ing a vpPath is just a downViewport(..., strict=TRUE)\npush.vp.vpPath <- function(vp, recording) {\n    downViewport(vp, strict=TRUE, recording)\n}\n\npush.viewport <- function(..., recording=TRUE) {\n    .Defunct(\"pushViewport\")\n}\n\npushViewport <- function(..., recording=TRUE) {\n  if (missing(...))\n    stop(\"must specify at least one viewport\")\n  else {\n    vps <- list(...)\n    lapply(vps, push.vp, recording)\n  }\n  invisible()\n}\n\n# Helper functions called from C\nno.children <- function(children) {\n  length(names(children)) == 0\n}\n\nchild.exists <- function(name, children) {\n  exists(name, envir=children, inherits=FALSE)\n}\n\nchild.list <- function(children) {\n  ls(children, all.names=TRUE) # sorted (needed ?)\n}\n\npathMatch <- function(path, pathsofar, strict) {\n  if (is.null(pathsofar))\n    is.null(path)\n  else {\n    pattern <- paste0(if(strict) \"^\", path, \"$\")\n    grepl(pattern, pathsofar)\n  }\n}\n\ngrowPath <- function(pathsofar, name) {\n  paste(pathsofar, name, sep=.grid.pathSep)\n}\n\n# Rather than pushing a new viewport, navigate down to one that has\n# already been pushed\ndownViewport <- function(name, strict=FALSE, recording=TRUE) {\n  UseMethod(\"downViewport\")\n}\n\n# For interactive use, allow user to specify\n# vpPath directly (i.e., w/o calling vpPath)\ndownViewport.default <- function(name, strict=FALSE, recording=TRUE) {\n  name <- as.character(name)\n  downViewport(vpPath(name), strict, recording=recording)\n}\n\n# Build vpPath from one (pushed) viewport up to another (pushed) viewport\n# 'anc' is assumed to be an ancestor of 'desc'\n# 'depth' is the depth that the final depth should have\nbuildPath <- function(desc, anc, depth) {\n    path <- desc$name\n    while (!identical(desc$parent, anc)) {\n        if (is.null(desc$parent))\n            stop(\"Down viewport failed to record on display list\")\n        desc <- desc$parent\n        path <- c(desc$name, path)\n    }\n    result <- vpPath(path)\n    if (depth(result) != depth)\n        warning(\"Down viewport incorrectly recorded on display list\")\n    result\n}\n\ndownViewport.vpPath <- function(name, strict=FALSE, recording=TRUE) {\n    start <- grid.Call(C_currentViewport)\n    if (name$n == 1)\n        result <- grid.Call.graphics(C_downviewport, name$name, strict)\n    else\n        result <- grid.Call.graphics(C_downvppath,\n                                     name$path, name$name, strict)\n    # If the downViewport() fails, there is an error in C code\n    # so none of the following code will be run\n\n    # Enforce the gpar settings for the viewport\n    pvp <- grid.Call(C_currentViewport)\n    # Do not call set.gpar because set.gpar accumulates cex\n    grid.Call.graphics(C_setGPar, pvp$gpar)\n    # Record the viewport operation\n    # ... including the depth navigated down\n    if (recording) {\n        attr(name, \"depth\") <- result\n        # Record the strict path down\n        path <- buildPath(pvp, start, result)\n        record(path)\n    }\n    invisible(result)\n}\n\n# Similar to down.viewport() except it starts searching from the\n# top-level viewport, so the result may be \"up\" or even \"across\"\n# the current viewport tree\nseekViewport <- function(name, recording=TRUE) {\n  # up to the top-level\n  upViewport(0, recording=recording)\n  downViewport(name, recording=recording)\n}\n\n# Depth of the current viewport\nvpDepth <- function() {\n  pvp <- grid.Call(C_currentViewport)\n  count <- 0\n  while (!is.null(pvp$parent)) {\n    pvp <- pvp$parent\n    count <- count + 1\n  }\n  count\n}\n\npop.viewport <- function(n=1, recording=TRUE) {\n    .Defunct(\"popViewport\")\n}\n\npopViewport <- function(n=1, recording=TRUE) {\n  if (n < 0)\n    stop(\"must pop at least one viewport\")\n  if (n == 0)\n    n <- vpDepth()\n  if (n > 0) {\n    grid.Call.graphics(C_unsetviewport, as.integer(n))\n    # Record on the display list\n    if (recording) {\n      class(n) <- \"pop\"\n      record(n)\n    }\n  }\n  invisible()\n}\n\n# Rather than removing the viewport from the viewport stack (tree),\n# simply navigate up, leaving pushed viewports in place.\nupViewport <- function(n=1, recording=TRUE) {\n  if (n < 0)\n    stop(\"must navigate up at least one viewport\")\n  if (n == 0) {\n    n <- vpDepth()\n    upPath <- current.vpPath()\n  }\n  if (n > 0) {\n    path <- current.vpPath()\n    upPath <- path[(depth(path) - n + 1):depth(path)]\n    grid.Call.graphics(C_upviewport, as.integer(n))\n    # Record on the display list\n    if (recording) {\n      class(n) <- \"up\"\n      record(n)\n    }\n  }\n  invisible(upPath)\n}\n\n# Return the full vpPath to the current viewport\ncurrent.vpPath <- function() {\n  names <- NULL\n  pvp <- grid.Call(C_currentViewport)\n  while (!rootVP(pvp)) {\n    names <- c(names, pvp$name)\n    pvp <- pvp$parent\n  }\n  if (!is.null(names))\n    vpPathFromVector(rev(names))\n  else\n    names\n}\n\n# Function to obtain the current viewport\ncurrent.viewport <- function() {\n    # The system stores a pushedvp;  the user should only\n    # ever see normal viewports, so convert.\n    vpFromPushedvp(grid.Call(C_currentViewport))\n}\n\n# Return the parent of the current viewport\n# (could be NULL)\ncurrent.parent <- function(n=1) {\n    if (n < 1)\n        stop(\"Invalid number of generations\")\n    vp <- grid.Call(C_currentViewport)\n    generation <- 1\n    while (generation <= n) {\n        if (is.null(vp))\n            stop(\"Invalid number of generations\")\n        vp <- vp$parent\n        generation <- generation + 1\n    }\n    if (!is.null(vp))\n        vpFromPushedvp(vp)\n    else\n        vp\n}\n\nvpListFromNode <- function(node) {\n  vpListFromList(eapply(node$children, vpTreeFromNode, all.names=TRUE))\n}\n\nvpTreeFromNode <- function(node) {\n  # If no children then just return viewport\n  if (no.children(node$children))\n    vpFromPushedvp(node)\n  # Otherwise return vpTree\n  else\n    vpTree(vpFromPushedvp(node),\n           vpListFromNode(node))\n}\n\n# Obtain the current viewport tree\n# Either from the current location in the tree down\n# or ALL of the tree\ncurrent.vpTree <- function(all=TRUE) {\n  cpvp <- grid.Call(C_currentViewport)\n  moving <- all && vpDepth() > 0\n  if (moving) {\n    savedpath <- current.vpPath()\n    upViewport(0, recording=FALSE)\n    cpvp <- grid.Call(C_currentViewport)\n  }\n  tree <- vpTreeFromNode(cpvp)\n  if (moving) {\n    downViewport(savedpath, recording=FALSE)\n  }\n  tree\n}\n\ncurrent.transform <- function() {\n    grid.Call(C_currentViewport)$trans\n}\n\ncurrent.rotation <- function() {\n    grid.Call(C_currentViewport)$rotation\n}\n\n# Call this function if you want the graphics device erased or moved\n# on to a new page.  High-level plotting functions should call this.\n# NOTE however, that if you write a function which calls grid.newpage,\n# you should provide an argument to allow people to turn it off\n# so that they can use your function within a parent viewport\n# (rather than the whole device) if they want to.\ngrid.newpage <- function(recording=TRUE) {\n    for (fun in getHook(\"before.grid.newpage\"))  {\n        if(is.character(fun)) fun <- get(fun)\n        try(fun())\n    }\n    # NOTE that we do NOT do grid.Call here because we have to do\n    # things slightly differently if grid.newpage is the first grid operation\n    # on a new device\n    .Call(C_newpagerecording)\n    .Call(C_newpage)\n    .Call(C_initGPar)\n    .Call(C_initViewportStack)\n    if (recording) {\n        .Call(C_initDisplayList)\n        grDevices:::recordPalette()\n        for (fun in getHook(\"grid.newpage\"))  {\n            if(is.character(fun)) fun <- get(fun)\n            try(fun())\n        }\n    }\n    invisible()\n}\n\n###########\n# DISPLAY LIST FUNCTIONS\n###########\n\n# Keep a list of all drawing operations (since last grid.newpage()) so\n# that we can redraw upon edit.\n\ninc.display.list <- function() {\n  display.list <- grid.Call(C_getDisplayList)\n  dl.index <- grid.Call(C_getDLindex)\n  dl.index <- dl.index + 1\n  n <- length(display.list)\n  # The \" - 1\" below is because dl.index is now stored internally\n  # so is a C-style zero-based index rather than an R-style\n  # 1-based index\n  if (dl.index > (n - 1)) {\n    temp <- display.list\n    display.list <- vector(\"list\", n + 100L)\n    display.list[1L:n] <- temp\n  }\n  grid.Call(C_setDisplayList, display.list)\n  grid.Call(C_setDLindex, as.integer(dl.index))\n}\n\n# This will either ...\n#   (i) turn on AND INITIALISE the display list or ...\n#   (ii) turn off AND ERASE the display list\ngrid.display.list <- function(on=TRUE) {\n  grid.Call(C_setDLon, as.logical(on))\n  if (on) {\n    grid.Call(C_setDisplayList, vector(\"list\", 100L))\n    grid.Call(C_setDLindex, 0L)\n  }\n  else\n    grid.Call(C_setDisplayList, NULL)\n}\n\nrecord <- function(x) {\n  if (grid.Call(C_getDLon))\n    UseMethod(\"record\")\n}\n\n# When there is a pop.viewport, the number of viewports popped\n# gets put on the display list\nrecord.default <- function(x) {\n  if (!is.numeric(x))\n    stop(\"invalid object inserted on the display list\")\n  grid.Call(C_setDLelt, x)\n  inc.display.list()\n}\n\nrecord.grob <- function(x) {\n  grid.Call(C_setDLelt, x)\n  inc.display.list()\n}\n\nrecord.viewport <- function(x) {\n  grid.Call(C_setDLelt, x)\n  inc.display.list()\n}\n\nrecord.vpPath <- function(x) {\n  grid.Call(C_setDLelt, x)\n  inc.display.list()\n}\n\n# This controls whether grid is using the graphics engine's display list\nengine.display.list <- function(on=TRUE) {\n  grid.Call(C_setEngineDLon, as.logical(on))\n}\n\n# Rerun the grid DL\ngrid.refresh <- function() {\n  draw.all()\n}\n\n# Call a function on each element of the grid display list\n# AND replace the element with the result\n# This is blood-curdlingly dangerous for the state of the\n# display list\n# Two token efforts at safety are made:\n#   - generate all of the new elements first THEN assign them all\n#     (so if there is an error in generating any one element\n#      you don't end up with a trashed display list)\n#   - check that the new element is either NULL or the same\n#     class as the element it is replacing\ngrid.DLapply <- function(FUN, ...) {\n    FUN <- match.fun(FUN)\n    # Traverse DL and do something to each entry\n#    gridDL <- grid.Call(C_getDisplayList)\n    gridDLindex <- grid.Call(C_getDLindex)\n    newDL <- vector(\"list\", gridDLindex)\n    for (i in 1:(gridDLindex - 1)) {\n        elt <- grid.Call(C_getDLelt, i)\n        newElt <- FUN(elt, ...)\n        if (!(is.null(newElt) || inherits(newElt, class(elt))))\n            stop(\"invalid modification of the display list\")\n        newDL[[i]] <- newElt\n    }\n    for (i in 1:(gridDLindex - 1)) {\n        grid.Call(C_setDLindex, i)\n        grid.Call(C_setDLelt, newDL[[i]])\n    }\n    grid.Call(C_setDLindex, gridDLindex)\n}\n\n# Wrapper for .Call and .Call.graphics\n# Used to make sure that grid-specific initialisation occurs just before\n# the first grid graphics output OR the first querying of grid state\n# (on the current device)\n# The general rule is you should use these rather than .Call or\n# .Call.graphics unless you have a good reason and you know what\n# you are doing -- this will be a bit of overkill, but is for safety\ngrid.Call <- function(fnname, ...) {\n  .Call(C_gridDirty)\n  .Call(dontCheck(fnname), ...)  # skip code analysis checks, keep runtime checks\n}\n\ngrid.Call.graphics <- function(fnname, ...) {\n  # Only record graphics operations on the graphics engine's display\n  # list if the engineDLon flag is set\n  engineDLon <- grid.Call(C_getEngineDLon)\n  if (engineDLon) {\n    # NOTE that we need a .Call.graphics(C_gridDirty) so that\n    # the first thing on the engine display list is a dirty\n    # operation;  this is necessary in case the display list is\n    # played on another device (e.g., via replayPlot() or dev.copy())\n    .Call.graphics(C_gridDirty)\n    result <- .Call.graphics(dontCheck(fnname), ...)\n  } else {\n    .Call(C_gridDirty)\n    result <- .Call(dontCheck(fnname), ...)\n  }\n  result\n}\n\n# A call to recordGraphics() outside of [pre|post]drawDetails methods\n# will not record the expr on the grid DL.\n# If a user REALLY wants to call recordGraphics(), they should use\n# grid.record() instead\ndrawDetails.recordedGrob <- function(x, recording) {\n  eval(x$expr, x$list, getNamespace(\"grid\"))\n}\n\ngrid.record <- function(expr, list,\n                        name=NULL, gp=NULL, vp=NULL) {\n  grid.draw(grob(expr=substitute(expr), list=list,\n                 name=name, gp=gp, vp=vp, cl=\"recordedGrob\"))\n}\n\nrecordGrob <- function(expr, list,\n                       name=NULL, gp=NULL, vp=NULL) {\n  grob(expr=substitute(expr), list=list,\n       name=name, gp=gp, vp=vp, cl=\"recordedGrob\")\n}\n\n# Must only generate a grob, not modify drawing context\nmakeContent.delayedgrob <- function(x) {\n    grob <- eval(x$expr, x$list, getNamespace(\"grid\"))\n    if (is.grob(grob)) {\n        children <- gList(grob)\n    } else if (is.gList(grob)) {\n        children <- grob\n    } else {\n        stop(\"'expr' must return a grob or gList\")\n    }\n    x <- setChildren(x, children)\n    x\n}\n\ngrid.delay <- function(expr, list,\n                       name=NULL, gp=NULL, vp=NULL) {\n    grid.draw(gTree(expr=substitute(expr), list=list,\n                    name=name, gp=gp, vp=vp, cl=\"delayedgrob\"))\n}\n\ndelayGrob <- function(expr, list,\n                      name=NULL, gp=NULL, vp=NULL) {\n    gTree(expr=substitute(expr), list=list,\n          name=name, gp=gp, vp=vp, cl=\"delayedgrob\")\n}\n","normpath":"/Users/thomas/Dropbox/GitHub/grid/R/grid.R"},{"filename":"grid/R/unit.R","content":"#  File src/library/grid/R/unit.R\n#  Part of the R package, https://www.R-project.org\n#\n#  Copyright (C) 1995-2016 The R Core Team\n#\n#  This program is free software; you can redistribute it and/or modify\n#  it under the terms of the GNU General Public License as published by\n#  the Free Software Foundation; either version 2 of the License, or\n#  (at your option) any later version.\n#\n#  This program is distributed in the hope that it will be useful,\n#  but WITHOUT ANY WARRANTY; without even the implied warranty of\n#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#  GNU General Public License for more details.\n#\n#  A copy of the GNU General Public License is available at\n#  https://www.R-project.org/Licenses/\n\n\n# Create an object of class \"unit\"\n# Simple units are of the form 'unit(1, \"cm\")' or 'unit(1L:3, \"cm\")' or\n# 'unit(c(1,3,6), c(\"cm\", \"inch\", \"npc\"))'\n# More complicated units are of the form 'unit(1, \"string\", \"a string\")'\n# or 'unit(1, \"grob\", a.grob)'\nunit <- function(x, units, data = NULL) {\n  x <- as.numeric(x)\n  units <- as.character(units)\n  if (length(x) == 0 || length(units) == 0)\n    stop(\"'x' and 'units' must have length > 0\")\n  if (is.null(data)) {\n  \tdata <- list(NULL)\n  } else if (is.character(data) || is.language(data) ||\n  \t\t   is.grob(data) || inherits(data, \"gPath\")) {\n  \tdata <- list(data)\n  }\n  .Call(C_constructUnits, x, data, units)\n}\n\nsingle_unit <- function(x, data, valid_units) {\n  `class<-`(list(\n    list(\n      x,\n      data,\n      valid_units\n    )\n  ), 'unit')\n}\ngrid.convert <- function(x, unitTo, axisFrom=\"x\", typeFrom=\"location\",\n                         axisTo=axisFrom, typeTo=typeFrom,\n                         valueOnly=FALSE) {\n    .Defunct(\"convertUnit\")\n}\n\nconvertUnit <- function(x, unitTo, axisFrom=\"x\", typeFrom=\"location\",\n                        axisTo=axisFrom, typeTo=typeFrom,\n                        valueOnly=FALSE) {\n  whatfrom <- match(axisFrom, c(\"x\", \"y\")) - 1L +\n    2L*(match(typeFrom, c(\"location\", \"dimension\")) - 1L)\n  whatto <- match(axisTo, c(\"x\", \"y\")) - 1L +\n    2L*(match(typeTo, c(\"location\", \"dimension\")) - 1L)\n  if (!is.unit(x))\n    stop(\"'x' argument must be a unit object\")\n  if (is.na(whatfrom) || is.na(whatto))\n    stop(\"invalid 'axis' or 'type'\")\n  value <- grid.Call(C_convert, x, as.integer(whatfrom),\n                 as.integer(whatto), valid.units(unitTo))\n  if (!valueOnly)\n    unit(value, unitTo)\n  else\n    value\n}\n\ngrid.convertX <- function(x, unitTo, valueOnly=FALSE) {\n  .Defunct(\"convertX\")\n}\n\nconvertX <- function(x, unitTo, valueOnly=FALSE) {\n  convertUnit(x, unitTo, \"x\", \"location\", \"x\", \"location\",\n              valueOnly=valueOnly)\n}\n\ngrid.convertY <- function(x, unitTo, valueOnly=FALSE) {\n  .Defunct(\"convertY\")\n}\n\nconvertY <- function(x, unitTo, valueOnly=FALSE) {\n  convertUnit(x, unitTo, \"y\", \"location\", \"y\", \"location\",\n              valueOnly=valueOnly)\n}\n\ngrid.convertWidth <- function(x, unitTo, valueOnly=FALSE) {\n  .Defunct(\"convertWidth\")\n}\n\nconvertWidth <- function(x, unitTo, valueOnly=FALSE) {\n  convertUnit(x, unitTo, \"x\", \"dimension\", \"x\", \"dimension\",\n              valueOnly=valueOnly)\n}\n\ngrid.convertHeight <- function(x, unitTo, valueOnly=FALSE) {\n  .Defunct(\"convertHeight\")\n}\n\nconvertHeight <- function(x, unitTo, valueOnly=FALSE) {\n  convertUnit(x, unitTo, \"y\", \"dimension\", \"y\", \"dimension\",\n              valueOnly=valueOnly)\n}\n\nconvertNative <- function(unit, dimension=\"x\", type=\"location\") {\n  .Defunct(\"convertUnit\")\n}\n\ndeviceLoc <- function(x, y, valueOnly=FALSE) {\n    result <- grid.Call(C_devLoc, x, y)\n    names(result) <- c(\"x\", \"y\")\n    if (!valueOnly)\n        list(x=unit(result$x, \"in\"), y=unit(result$y, \"in\"))\n    else\n        result\n}\n\ndeviceDim <- function(w, h, valueOnly=FALSE) {\n    result <- grid.Call(C_devDim, w, h)\n    names(result) <- c(\"w\", \"h\")\n    if (!valueOnly)\n        list(w=unit(result$w, \"in\"), h=unit(result$h, \"in\"))\n    else\n        result\n}\n\n# This is like the \"convert\" functions:  it evaluates units (immediately)\n# in the current context\ncalcStringMetric <- function(text) {\n    # .Call rather than .Call.graphics because it is a one-off calculation\n    metric <- grid.Call(C_stringMetric, text)\n    names(metric) <- c(\"ascent\", \"descent\", \"width\")\n    metric\n}\n\n# NOTE: the order of the strings in these conversion functions must\n# match the order of the enums in ../src/grid.h\n# AND in ../src/unit.c (see UnitTable)\n# NOTE: ../src/unit.c also allows some pseudonyms (e.g., \"in\" for \"inches\")\n.grid.unit.list <- c(\"npc\", \"cm\", \"inches\", \"lines\",\n                     \"native\", \"null\", \"snpc\", \"mm\",\n                     \"points\", \"picas\", \"bigpts\",\n                     \"dida\", \"cicero\", \"scaledpts\",\n                     \"strwidth\", \"strheight\",\n                     \"strascent\", \"strdescent\",\n                     \"vplayoutwidth\", \"vplayoutheight\", \"char\",\n                     \"grobx\", \"groby\", \"grobwidth\", \"grobheight\",\n                     \"grobascent\", \"grobdescent\",\n                     \"mylines\", \"mychar\", \"mystrwidth\", \"mystrheight\",\n                     \"sum\", \"min\", \"max\")\n\nvalid.units <- function(units) {\n  .Call(C_validUnits, units)\n}\n\n# Printing, formating, and coercion\nunitDesc <- function(x, format = FALSE, ...) {\n  amount <- if (format) format(x[[1]], ...) else x[[1]]\n  unit <- units[as.character(x[[3]])]\n  if (unit %in% c('sum', 'min', 'max')) {\n    paste0(if (amount == 1) '' else paste0(amount, '*'),\n           unit, '(', paste(lapply(x[[2]], unitDesc, format = format, ...), collapse = ', '), ')')\n  } else {\n    paste0(amount, unit)\n  }\n}\nas.character.unit <- function(x, ...) {\n  vapply(as.unit(x), unitDesc, character(1))\n}\nas.double.unit <- function(x, ...) {\n  vapply(unclass(x), `[[`, numeric(1), 1L)\n}\nas.vector.unit <- as.double.unit\nformat.unit <- function(x, ...) {\n  vapply(as.unit(x), unitDesc, character(1), format = TRUE, ...)\n}\nprint.unit <- function(x, ...) {\n  print(as.character(x), quote = FALSE, ...)\n  invisible(x)\n}\nas.double.simpleUnit <- function(x, ...) as.double(unclass(x), ...)\nas.vector.simpleUnit <- function(x, ...) as.double(unclass(x), ...)\n\nis.unit <- function(x) inherits(x, 'unit')\nis.simpleUnit <- function(x) inherits(x, 'simpleUnit')\nidenticalUnits <- function(x) .Call(C_conformingUnits, x)\n\nas.unit <- function(x) {\n\t.Call(C_asUnit, x)\n}\n\nstr.unit <- function(object, ...) {\n  object <- as.unit(object)\n  for (i in seq_along(object)) {\n    unit <- object[[i]]\n    cat('[[', i, ']] Amount: ', unit[[1]], '; Unit: ', units[[as.character(unit[[3]])]], '; Data: ', if (is.null(unit[[2]])) 'none' else as.character(unit[[2]]), '\\n', sep = '')\n  }\n}\n#########################\n# UNIT ARITHMETIC STUFF\n#########################\n\nSummary.unit <- function(..., na.rm=FALSE) {\n  units <- list(...)\n  ok <- switch(.Generic, \"sum\" = 201L, \"min\" = 202L, \"max\" = 203L, 0L)\n  if (ok == 0)\n  \tstop(gettextf(\"'Summary' function '%s' not meaningful for units\",\n  \t\t\t\t  .Generic), domain = NA)\n  # Optimise for simple units\n  identicalSimple <- identicalUnits(units)\n  if (!is.null(identicalSimple)) {\n  \tres <- switch(\n  \t\t.Generic,\n  \t\t\"sum\" = sum(unlist(units)),\n  \t\t\"min\" = min(unlist(units)),\n  \t\t\"max\" = max(unlist(units)),\n  \t)\n  \treturn(`attributes<-`(res, list(\n  \t\tclass = c(\"simpleUnit\", \"unit\"), \n  \t\tunit = identicalSimple\n  \t)))\n  }\n  # NOTE that this call to unit.c makes sure that arg1 is\n  # a single unit object\n  x <- unlist(lapply(units, as.unit), recursive = FALSE)\n  \n  matchUnits <- .Call(C_matchUnit, x, ok)\n  nMatches <- length(matchUnits)\n  if (nMatches != 0) {\n    data <- lapply(x, `[[`, 2L)\n    amount <- vapply(x, .subset2, numeric(1), 1L)[matchUnits]\n    matchData <- unlist(data[matchUnits], recursive = FALSE)\n    for (i in seq_along(amount)) {\n      if (amount[i] != 1) matchData[[i]] <- matchData[[i]] * amount[i]\n    }\n    if (nMatches == length(x)) {\n      data <- matchData\n    } else {\n      data <- c(x[-matchUnits], matchData)\n    }\n  } else {\n    data <- x\n  }\n  single_unit(1, `class<-`(data, 'unit'), ok)\n}\nOps.unit <- function(e1, e2) {\n  ok <- switch(.Generic, \"+\"=TRUE, \"-\"=TRUE, \"*\"=TRUE, \"/\"=TRUE, FALSE)\n  if (!ok)\n    stop(gettextf(\"operator '%s' not meaningful for units\", .Generic),\n         domain = NA)\n  # Unary\n  if (missing(e2)) {\n    if (.Generic %in% c('*', '/')) stop(\"'*' or '/' cannot be used as a unary operator\")\n    if (.Generic == '-') {\n      if (is.simpleUnit(e1)) {\n      \tattr <- attributes(e1)\n      \te1 <- -as.vector(e1)\n      \tattributes(e1) <- attr\n      } else {\n      \te1 <- .Call(C_flipUnits, e1)\n      }\n    }\n    return(e1)\n  }\n  # Multiply\n  if (.Generic %in% c(\"*\", \"/\")) {\n    # can only multiply a unit by a scalar\n    if (nzchar(.Method[1L])) {\n      if (nzchar(.Method[2L])) stop(\"only one operand may be a unit\")\n      if (!is.numeric(e2)) stop(\"non-unit operand must be numeric\")\n      unit <- e1\n      value <- e2\n    } else {\n      if (!is.numeric(e1)) stop(\"non-unit operand must be numeric\")\n      if (.Generic == \"/\") stop(\"can't divide with a unit\")\n    \tunit <- e2\n    \tvalue <- e1\n    }\n  \tif (.Generic == \"/\") value <- 1 / value\n  \tif (is.simpleUnit(unit)) {\n  \t\tattr <- attributes(unit)\n  \t\tunit <- value * as.vector(unit)\n  \t\tattributes(unit) <- attr\n  \t} else {\n  \t\tunit <- .Call(C_multUnits, unit, value)\n  \t}\n  \treturn(unit)\n  }\n  # Add and sub remains\n  if (!nzchar(.Method[1L]) && !nzchar(.Method[2L])) {\n    stop(\"both operands must be units\")\n  }\n  if ((is.simpleUnit(e1) && is.simpleUnit(e2)) && (attr(e1, 'unit') == attr(e2, 'unit'))) {\n  \tattr <- attributes(e1)\n  \tunit <- switch(\n  \t\t.Generic, \n  \t\t\"-\" = as.vector(e1) - as.vector(e2), \n  \t\t\"+\" = as.vector(e1) + as.vector(e2)\n  \t)\n  \treturn(`attributes<-`(unit, attr))\n  }\n  # Convert subtraction to addition\n  if (.Generic == '-') {\n  \te2 <- -e2\n  }\n  .Call(C_addUnits, as.unit(e1), as.unit(e2))\n}\n\nunit.pmin <- function(...) {\n  pSummary(..., op = 'min')\n}\n\nunit.pmax <- function(...) {\n  pSummary(..., op = 'max')\n}\n\nunit.psum <- function(...) {\n  pSummary(..., op = 'sum')\n}\n\npSummary <- function(..., op) {\n  units <- list(...)\n  # optimisation for simple units\n  identicalSimple <- identicalUnits(units)\n  if (!is.null(identicalSimple)) {\n  \tres <- switch(\n  \t\top,\n  \t\t\"sum\" = Reduce(`+`, lapply(units, unclass)),\n  \t\t\"min\" = do.call(pmin, lapply(units, unclass)),\n  \t\t\"max\" = do.call(pmax, lapply(units, unclass))\n  \t)\n  \treturn(`attributes<-`(res, list(\n  \t\tclass = c(\"simpleUnit\", \"unit\"), \n  \t\tunit = identicalSimple\n  \t)))\n  }\n  op <- switch(op, sum = 201L, min = 202L, max = 203L)\n  .Call(C_summaryUnits, units, op)\n}\n\n#########################\n# Unit subsetting\n#########################\n\n# The idea of the \"top\" argument is to allow the function to\n# know if it has been called from the command-line or from\n# a previous (recursive) call to \"[.unit\" or \"[.unit.arithmetic\"\n# this allows recycling beyond the end of the unit object\n# except at the top level\n\n`[.unit` <- function(x, index, top = TRUE) {\n  attr <- attributes(x)\n  x <- unclass(x)\n  n <- length(x)\n  if (is.numeric(index) && any(index > n)) {\n    if (top) stop('index out of bounds (\"unit\" subsetting)', call. = FALSE)\n    index <- (seq_len(n)[index] - 1L) %% n + 1L\n  }\n  x <- x[index]\n  `attributes<-`(x, attr)\n}\n`[<-.unit` <- function(x, i, value) {\n  if (!is.unit(value)) stop('value must be a unit object')\n    attr <- attributes(x)\n    simpleResult <- FALSE\n    if (is.simpleUnit(x)) {\n        if (!(is.simpleUnit(value) && attr(x, 'unit') == attr(value, 'unit'))) {\n            x <- as.unit(x)\n            value <- as.unit(value)\n        } else {\n            simpleResult <- TRUE\n        }\n    } else {\n        value <- as.unit(value)\n    }\n    x <- unclass(x)\n    x[i] <- value\n    if (simpleResult) {\n        `attributes<-`(x, attr)\n    } else {\n        `class<-`(x, \"unit\")\n    }\n}\n\n#########################\n# \"c\"ombining unit objects\n#########################\n\n# NOTE that I have not written methods for c()\n# because method dispatch occurs on the first argument to\n# \"c\" so c(unit(...), ...) would come here, but c(whatever, unit(...), ...)\n# would go who-knows-where.\n# A particularly nasty example is:  c(1, unit(1, \"npc\")) which will\n# produce the same result as c(1, 1)\n# Same problem for trying to control c(<unit>, <unit.arithmetic>)\n# versus c(<unit.arithmetic>, <unit>), etc ...\n\n# If any arguments are unit.arithmetic or unit.list, then the result will be\n# unit.list\n\nunit.c <- function(..., check = TRUE) {\n  x <- list(...)\n  identicalSimple <- identicalUnits(x)\n  if (!is.null(identicalSimple)) {\n  \t`attributes<-`(unlist(x), list(class = c('simpleUnit', 'unit'), unit = identicalSimple))\n  } else {\n  \t`class<-`(unlist(lapply(x, as.unit), recursive = FALSE), 'unit')\n  }\n}\n\n#########################\n# rep'ing unit objects\n#########################\n\nrep.unit <- function(x, times = 1, length.out = NA, each = 1, ...) {\n  index <- rep(seq_along(x), times = times, length.out = length.out, each = each)\n  x[index]\n}\n\n# Vestige from when rep() was not generic\nunit.rep <- function (x, ...)\n{\n  warning(\"'unit.rep' has been deprecated in favour of a unit method for the generic rep function\", domain = NA)\n  rep(x, ...)\n}\n\n#########################\n# Length of unit objects\n#########################\n\n# Vestige of when length was not generic and a custom length method was needed\nunit.length <- function(unit) {\n   warning(\"'unit.length' has been deprecated in favour of a unit method for the generic length function\", domain = NA)\n   length(unit)\n}\n\n#########################\n# Convenience functions\n#########################\n\nstringWidth <- function(string) {\n    n <- length(string)\n    if (is.language(string)) {\n        data <- vector(\"list\", n)\n        for (i in 1L:n)\n            data[[i]] <- string[i]\n    } else {\n        data <- as.list(as.character(string))\n    }\n    unit(rep_len(1, n), \"strwidth\", data=data)\n}\n\nstringHeight <- function(string) {\n    n <- length(string)\n    if (is.language(string)) {\n        data <- vector(\"list\", n)\n        for (i in 1L:n)\n            data[[i]] <- string[i]\n    } else {\n        data <- as.list(as.character(string))\n    }\n    unit(rep_len(1, n), \"strheight\", data=data)\n}\n\nstringAscent <- function(string) {\n    n <- length(string)\n    if (is.language(string)) {\n        data <- vector(\"list\", n)\n        for (i in 1L:n)\n            data[[i]] <- string[i]\n    } else {\n        data <- as.list(as.character(string))\n    }\n    unit(rep_len(1, n), \"strascent\", data=data)\n}\n\nstringDescent <- function(string) {\n    n <- length(string)\n    if (is.language(string)) {\n        data <- vector(\"list\", n)\n        for (i in 1L:n)\n            data[[i]] <- string[i]\n    } else {\n        data <- as.list(as.character(string))\n    }\n    unit(rep_len(1, n), \"strdescent\", data=data)\n}\n\nconvertTheta <- function(theta) {\n    if (is.character(theta))\n        # Allow some aliases for common angles\n        switch(theta,\n               east=0,\n               north=90,\n               west=180,\n               south=270,\n               stop(\"invalid 'theta'\"))\n    else\n        # Ensure theta in [0, 360)\n        theta <- as.numeric(theta) %% 360\n}\n\n# grobX\ngrobX <- function(x, theta) {\n    UseMethod(\"grobX\", x)\n}\n\ngrobX.grob <- function(x, theta) {\n  unit(convertTheta(theta), \"grobx\", data=x)\n}\n\ngrobX.gList <- function(x, theta) {\n  unit(rep(convertTheta(theta), length(x)), \"grobx\", data=x)\n}\n\ngrobX.gPath <- function(x, theta) {\n  unit(convertTheta(theta), \"grobx\", data=x)\n}\n\ngrobX.default <- function(x, theta) {\n  unit(convertTheta(theta), \"grobx\", data=gPath(as.character(x)))\n}\n\n# grobY\ngrobY <- function(x, theta) {\n    UseMethod(\"grobY\", x)\n}\n\ngrobY.grob <- function(x, theta) {\n  unit(convertTheta(theta), \"groby\", data=x)\n}\n\ngrobY.gList <- function(x, theta) {\n  unit(rep(convertTheta(theta), length(x)), \"groby\", data=x)\n}\n\ngrobY.gPath <- function(x, theta) {\n  unit(convertTheta(theta), \"groby\", data=x)\n}\n\ngrobY.default <- function(x, theta) {\n  unit(convertTheta(theta), \"groby\", data=gPath(as.character(x)))\n}\n\n# grobWidth\ngrobWidth <- function(x) {\n  UseMethod(\"grobWidth\")\n}\n\ngrobWidth.grob <- function(x) {\n  unit(1, \"grobwidth\", data=x)\n}\n\ngrobWidth.gList <- function(x) {\n  unit(rep_len(1, length(x)), \"grobwidth\", data=x)\n}\n\ngrobWidth.gPath <- function(x) {\n  unit(1, \"grobwidth\", data=x)\n}\n\ngrobWidth.default <- function(x) {\n  unit(1, \"grobwidth\", data=gPath(as.character(x)))\n}\n\n# grobHeight\ngrobHeight <- function(x) {\n  UseMethod(\"grobHeight\")\n}\n\ngrobHeight.grob <- function(x) {\n  unit(1, \"grobheight\", data=x)\n}\n\ngrobHeight.gList <- function(x) {\n  unit(rep_len(1, length(x)), \"grobheight\", data=x)\n}\n\ngrobHeight.gPath <- function(x) {\n  unit(1, \"grobheight\", data=x)\n}\n\ngrobHeight.default <- function(x) {\n  unit(1, \"grobheight\", data=gPath(as.character(x)))\n}\n\n# grobAscent\ngrobAscent <- function(x) {\n  UseMethod(\"grobAscent\")\n}\n\ngrobAscent.grob <- function(x) {\n  unit(1, \"grobascent\", data=x)\n}\n\ngrobAscent.gList <- function(x) {\n  unit(rep_len(1, length(x)), \"grobascent\", data=x)\n}\n\ngrobAscent.gPath <- function(x) {\n  unit(1, \"grobascent\", data=x)\n}\n\ngrobAscent.default <- function(x) {\n  unit(1, \"grobascent\", data=gPath(as.character(x)))\n}\n\n# grobDescent\ngrobDescent <- function(x) {\n  UseMethod(\"grobDescent\")\n}\n\ngrobDescent.grob <- function(x) {\n  unit(1, \"grobdescent\", data=x)\n}\n\ngrobDescent.gList <- function(x) {\n  unit(rep_len(1, length(x)), \"grobdescent\", data=x)\n}\n\ngrobDescent.gPath <- function(x) {\n  unit(1, \"grobdescent\", data=x)\n}\n\ngrobDescent.default <- function(x) {\n  unit(1, \"grobdescent\", data=gPath(as.character(x)))\n}\n\n#########################\n# Function to decide which values in a unit are \"absolute\" (do not depend\n# on parent's drawing context or size)\n#########################\n\nabsolute.units <- function(unit) {\n  .Call(C_absoluteUnits, unit)\n}\n\n# Lookup table for unit ids\n# This table MUST correspond to the enumeration in grid.h\nunits <- list(\n  '0' = \"npc\",\n  '1' = \"cm\",\n  '2' = \"inches\",\n  '3' = \"lines\",\n  '4' = \"native\",\n  '5' = \"null\",\n  '6' = \"snpc\",\n  '7' = \"mm\",\n  '8' = \"points\",\n  '9' = \"picas\",\n  '10' = \"bigpts\",\n  '11' = \"dida\",\n  '12' = \"cicero\",\n  '13' = \"scaledpts\",\n  '14' = \"strwidth\",\n  '15' = \"strheight\",\n  '16' = \"strascent\",\n  '17' = \"strdescent\",\n  '18' = \"char\",\n  '19' = \"grobx\",\n  '20' = \"groby\",\n  '21' = \"grobwidth\",\n  '22' = \"grobheight\",\n  '23' = \"grobascent\",\n  '24' = \"grobdescent\",\n\n  '103' = \"mylines\",\n  '104' = \"mychar\",\n  '105' = \"mystrwidth\",\n  '106' = \"mystrheight\",\n\n  '201' = \"sum\",\n  '202' = \"min\",\n  '203' = \"max\",\n\n  '1001' = \"centimetre\",\n  '1001' = \"centimetres\",\n  '1001' = \"centimeter\",\n  '1001' = \"centimeters\",\n  '1002' = \"in\",\n  '1002' = \"inch\",\n  '1003' = \"line\",\n  '1007' = \"millimetre\",\n  '1007' = \"millimetres\",\n  '1007' = \"millimeter\",\n  '1007' = \"millimeters\",\n  '1008' = \"point\",\n  '1008' = \"pt\"\n)","normpath":"/Users/thomas/Dropbox/GitHub/grid/R/unit.R"},{"filename":"ggplot2/R/margins.R","content":"#' @param t,r,b,l Dimensions of each margin. (To remember order, think trouble).\n#' @param unit Default units of dimensions. Defaults to \"pt\" so it\n#'   can be most easily scaled with the text.\n#' @rdname element\n#' @export\nmargin <- function(t = 0, r = 0, b = 0, l = 0, unit = \"pt\") {\n  u <- unit(c(t, r, b, l), unit)\n  class(u) <- c(\"margin\", class(u))\n  u\n}\nis.margin <- function(x) {\n  inherits(x, \"margin\")\n}\n\nmargin_height <- function(grob, margins) {\n  if (is.zero(grob)) return(unit(0, \"cm\"))\n\n  grobHeight(grob) + margins[1] + margins[3]\n}\n\nmargin_width <- function(grob, margins) {\n  if (is.zero(grob)) return(unit(0, \"cm\"))\n\n  grobWidth(grob) + margins[2] + margins[4]\n}\n\n#' Text grob, height, and width\n#'\n#' This function returns a list containing a text grob (and, optionally,\n#' debugging grobs) and the height and width of the text grob.\n#'\n#' @param label Either `NULL`, a string (length 1 character vector), or\n#'   an expression.\n#' @param x,y x and y locations where the text is to be placed. If `x` and `y`\n#'   are `NULL`, `hjust` and `vjust` are used to determine the location.\n#' @inheritParams titleGrob\n#'\n#' @noRd\ntitle_spec <- function(label, x, y, hjust, vjust, angle, gp = gpar(),\n                       debug = FALSE) {\n\n  if (is.null(label)) return(zeroGrob())\n\n  # We rotate the justifiation values to obtain the correct x and y reference point,\n  # since hjust and vjust are applied relative to the rotated text frame in textGrob\n  just <- rotate_just(angle, hjust, vjust)\n\n  n <- max(length(x), length(y), 1)\n  x <- x %||% unit(rep(just$hjust, n), \"npc\")\n  y <- y %||% unit(rep(just$vjust, n), \"npc\")\n\n  text_grob <- textGrob(\n    label,\n    x,\n    y,\n    hjust = hjust,\n    vjust = vjust,\n    rot = angle,\n    gp = gp\n  )\n\n  # The grob dimensions don't include the text descenders, so these need to be added\n  # manually. Because descentDetails calculates the actual descenders of the specific\n  # text label, which depends on the label content, we replace the label with one that\n  # has the common letters with descenders. This guarantees that the grob always has\n  # the same height regardless of whether the text actually contains letters with\n  # descenders or not. The same happens automatically with ascenders already.\n  descent <- font_descent(gp$fontfamily, gp$fontface, gp$fontsize, gp$cex)\n\n  # Use trigonometry to calculate grobheight and width for rotated grobs. This is only\n  # exactly correct when vjust = 1. We need to take the absolute value so we don't make\n  # the grob smaller when it's flipped over.\n  text_height <- unit(1, \"grobheight\", text_grob) + abs(cos(angle / 180 * pi)) * descent\n  text_width <- unit(1, \"grobwidth\", text_grob) + abs(sin(angle / 180 * pi)) * descent\n\n  if (isTRUE(debug)) {\n    children <- gList(\n      rectGrob(gp = gpar(fill = \"cornsilk\", col = NA)),\n      pointsGrob(x, y, pch = 20, gp = gpar(col = \"gold\")),\n      text_grob\n    )\n  } else {\n    children <- gList(text_grob)\n  }\n\n  list(\n    text_grob = children,\n    text_height = text_height,\n    text_width = text_width\n  )\n}\n\n#' Add margins\n#'\n#' Given a text grob, `add_margins()` adds margins around the grob in the\n#' directions determined by `margin_x` and `margin_y`.\n#'\n#' @param grob Text grob to add margins to.\n#' @param height,width Usually the height and width of the text grob. Passed as\n#'   separate arguments from the grob itself because in the special case of\n#'   facet strip labels each set of strips should share the same height and\n#'   width, even if the labels are of different length.\n#' @inheritParams titleGrob\n#'\n#' @noRd\nadd_margins <- function(grob, height, width, margin = NULL,\n                        gp = gpar(), margin_x = FALSE, margin_y = FALSE) {\n\n  if (is.null(margin)) {\n    margin <- margin(0, 0, 0, 0)\n  }\n\n  if (margin_x && margin_y) {\n    widths <- unit.c(margin[4], width, margin[2])\n    heights <- unit.c(margin[1], height, margin[3])\n\n    vp <- viewport(\n      layout = grid.layout(3, 3, heights = heights, widths = widths),\n      gp = gp\n    )\n    child_vp <- viewport(layout.pos.row = 2, layout.pos.col = 2)\n  } else if (margin_x) {\n    widths <- unit.c(margin[4], width, margin[2])\n    vp <- viewport(layout = grid.layout(1, 3, widths = widths), gp = gp)\n    child_vp <- viewport(layout.pos.col = 2)\n\n    heights <- unit(1, \"null\")\n  } else if (margin_y) {\n    heights <- unit.c(margin[1], height, margin[3])\n\n    vp <- viewport(layout = grid.layout(3, 1, heights = heights), gp = gp)\n    child_vp <- viewport(layout.pos.row = 2)\n\n    widths <- unit(1, \"null\")\n  } else {\n    widths <- width\n    heights <- height\n    return(\n      gTree(\n        children = grob,\n        widths = widths,\n        heights = heights,\n        cl = \"titleGrob\"\n      )\n    )\n  }\n\n  gTree(\n    children = grob,\n    vp = vpTree(vp, vpList(child_vp)),\n    widths = widths,\n    heights = heights,\n    cl = \"titleGrob\"\n  )\n}\n\n#' Create a text grob with the proper location and margins\n#'\n#' `titleGrob()` is called when creating titles and labels for axes, legends,\n#' and facet strips.\n#'\n#' @param label Text to place on the plot. These maybe axis titles, axis labels,\n#'   facet strip titles, etc.\n#' @param x,y x and y locations where the text is to be placed.\n#' @param hjust,vjust Horizontal and vertical justification of the text.\n#' @param angle Angle of rotation of the text.\n#' @param gp Additional graphical parameters in a call to `gpar()`.\n#' @param margin Margins around the text. See [margin()] for more\n#'   details.\n#' @param margin_x,margin_y Whether or not to add margins in the x/y direction.\n#' @param debug If `TRUE`, aids visual debugging by drawing a solid\n#'   rectangle behind the complete text area, and a point where each label\n#'   is anchored.\n#'\n#' @noRd\ntitleGrob <- function(label, x, y, hjust, vjust, angle = 0, gp = gpar(),\n                      margin = NULL, margin_x = FALSE, margin_y = FALSE,\n                      debug = FALSE) {\n\n  if (is.null(label))\n    return(zeroGrob())\n\n  # Get text grob, text height, and text width\n  grob_details <- title_spec(\n    label,\n    x = x,\n    y = y,\n    hjust = hjust,\n    vjust = vjust,\n    angle = angle,\n    gp = gp,\n    debug = debug\n  )\n\n  add_margins(\n    grob = grob_details$text_grob,\n    height = grob_details$text_height,\n    width = grob_details$text_width,\n    gp = gp,\n    margin = margin,\n    margin_x = margin_x,\n    margin_y = margin_y\n  )\n}\n\n#' @export\nwidthDetails.titleGrob <- function(x) {\n  sum(x$widths)\n}\n\n#' @export\nheightDetails.titleGrob <- function(x) {\n  sum(x$heights)\n}\n\n#' Justifies a grob within a larger drawing area\n#'\n#' `justify_grobs()` can be used to take one or more grobs and draw them justified inside a larger\n#' drawing area, such as the cell in a gtable. It is needed to correctly place [`titleGrob`]s\n#' with margins.\n#'\n#' @param grobs The single grob or list of grobs to justify.\n#' @param x,y x and y location of the reference point relative to which justification\n#'   should be performed. If `NULL`, justification will be done relative to the\n#'   enclosing drawing area (i.e., `x = hjust` and `y = vjust`).\n#' @param hjust,vjust Horizontal and vertical justification of the grob relative to `x` and `y`.\n#' @param int_angle Internal angle of the grob to be justified. When justifying a text\n#'   grob with rotated text, this argument can be used to make `hjust` and `vjust` operate\n#'   relative to the direction of the text.\n#' @param debug If `TRUE`, aids visual debugging by drawing a solid\n#'   rectangle behind the complete grob area.\n#'\n#' @noRd\njustify_grobs <- function(grobs, x = NULL, y = NULL, hjust = 0.5, vjust = 0.5,\n                          int_angle = 0, debug = FALSE) {\n  if (!inherits(grobs, \"grob\")) {\n    if (is.list(grobs)) {\n      return(lapply(grobs, justify_grobs, x, y, hjust, vjust, int_angle, debug))\n    }\n    else {\n      stop(\"need individual grob or list of grobs as argument.\")\n    }\n  }\n\n  if (inherits(grobs, \"zeroGrob\")) {\n    return(grobs)\n  }\n\n  # adjust hjust and vjust according to internal angle\n  just <- rotate_just(int_angle, hjust, vjust)\n\n  x <- x %||% unit(just$hjust, \"npc\")\n  y <- y %||% unit(just$vjust, \"npc\")\n\n\n  if (isTRUE(debug)) {\n    children <- gList(\n      rectGrob(gp = gpar(fill = \"lightcyan\", col = NA)),\n      grobs\n    )\n  }\n  else {\n    children = gList(grobs)\n  }\n\n\n  result_grob <- gTree(\n    children = children,\n    vp = viewport(\n      x = x,\n      y = y,\n      width = grobWidth(grobs),\n      height = grobHeight(grobs),\n      just = unlist(just)\n    )\n  )\n\n\n  if (isTRUE(debug)) {\n    #cat(\"x, y:\", c(x, y), \"\\n\")\n    #cat(\"E - hjust, vjust:\", c(hjust, vjust), \"\\n\")\n    grobTree(\n      result_grob,\n      pointsGrob(x, y, pch = 20, gp = gpar(col = \"mediumturquoise\"))\n    )\n  } else {\n    result_grob\n  }\n}\n\n\n#' Rotate justification parameters counter-clockwise\n#'\n#' @param angle angle of rotation, in degrees\n#' @param hjust horizontal justification\n#' @param vjust vertical justification\n#' @return A list with two components, `hjust` and `vjust`, containing the rotated hjust and vjust values\n#'\n#' @noRd\nrotate_just <- function(angle, hjust, vjust) {\n  ## Ideally we would like to do something like the following commented-out lines,\n  ## but it currently yields unexpected results for angles other than 0, 90, 180, 270.\n  ## Problems arise in particular in cases where the horizontal and the vertical\n  ## alignment model differ, for example, where horizontal alignment is relative to a\n  ## point but vertical alignment is relative to an interval. This case arises for\n  ## x and y axis tick labels.\n  ##\n  ## For more details, see: https://github.com/tidyverse/ggplot2/issues/2653\n\n  # # convert angle to radians\n  #rad <- (angle %||% 0) * pi / 180\n  #\n  #hnew <- cos(rad) * hjust - sin(rad) * vjust + (1 - cos(rad) + sin(rad)) / 2\n  #vnew <- sin(rad) * hjust + cos(rad) * vjust + (1 - cos(rad) - sin(rad)) / 2\n\n  angle <- (angle %||% 0) %% 360\n  if (0 <= angle & angle < 90) {\n    hnew <- hjust\n    vnew <- vjust\n  } else if (90 <= angle & angle < 180) {\n    hnew <- 1 - vjust\n    vnew <- hjust\n  } else if (180 <= angle & angle < 270) {\n    hnew <- 1 - hjust\n    vnew <- 1 - vjust\n  } else if (270 <= angle & angle < 360) {\n    hnew <- vjust\n    vnew <- 1 - hjust\n  }\n\n  list(hjust = hnew, vjust = vnew)\n}\ndescent_cache <- new.env(parent = emptyenv())\nfont_descent <- function(family = \"\", face = \"plain\", size = 12, cex = 1) {\n  cur_dev <- names(grDevices::dev.cur())\n  key <- paste0(cur_dev, ':', family, ':', face, \":\", size, \":\", cex)\n\n  descent <- descent_cache[[key]]\n\n  if (is.null(descent)) {\n    descent <- convertHeight(grobDescent(textGrob(\n      label = \"gjpqyQ\",\n      gp = gpar(\n        fontsize = size,\n        cex = cex,\n        fontfamily = family,\n        fontface = face\n      )\n    )), 'inches')\n    descent_cache[[key]] <- descent\n  }\n  descent\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/margins.R"},{"filename":"ggplot2/R/theme-elements.r","content":"#' Theme elements\n#'\n#' @description\n#' In conjunction with the \\link{theme} system, the `element_` functions\n#' specify the display of how non-data components of the plot are a drawn.\n#'\n#'   - `element_blank`: draws nothing, and assigns no space.\n#'   - `element_rect`: borders and backgrounds.\n#'   - `element_line`: lines.\n#'   - `element_text`: text.\n#'\n#' `rel()` is used to specify sizes relative to the parent,\n#' `margins()` is used to specify the margins of elements.\n#'\n#' @param fill Fill colour.\n#' @param colour,color Line/border colour. Color is an alias for colour.\n#' @param size Line/border size in mm; text size in pts.\n#' @param inherit.blank Should this element inherit the existence of an\n#'   `element_blank` among its parents? If `TRUE` the existence of\n#'   a blank element among its parents will cause this element to be blank as\n#'   well. If `FALSE` any blank parent element will be ignored when\n#'   calculating final element state.\n#' @return An S3 object of class `element`, `rel`, or `margin`.\n#' @examples\n#' plot <- ggplot(mpg, aes(displ, hwy)) + geom_point()\n#'\n#' plot + theme(\n#'   panel.background = element_blank(),\n#'   axis.text = element_blank()\n#' )\n#'\n#' plot + theme(\n#'   axis.text = element_text(colour = \"red\", size = rel(1.5))\n#' )\n#'\n#' plot + theme(\n#'   axis.line = element_line(arrow = arrow())\n#' )\n#'\n#' plot + theme(\n#'   panel.background = element_rect(fill = \"white\"),\n#'   plot.margin = margin(2, 2, 2, 2, \"cm\"),\n#'   plot.background = element_rect(\n#'     fill = \"grey90\",\n#'     colour = \"black\",\n#'     size = 1\n#'   )\n#' )\n#' @name element\n#' @aliases NULL\nNULL\n\n#' @export\n#' @rdname element\nelement_blank <- function() {\n  structure(\n    list(),\n    class = c(\"element_blank\", \"element\")\n  )\n}\n\n#' @export\n#' @rdname element\nelement_rect <- function(fill = NULL, colour = NULL, size = NULL,\n  linetype = NULL, color = NULL, inherit.blank = FALSE) {\n\n  if (!is.null(color))  colour <- color\n  structure(\n    list(fill = fill, colour = colour, size = size, linetype = linetype,\n         inherit.blank = inherit.blank),\n    class = c(\"element_rect\", \"element\")\n  )\n}\n\n#' @export\n#' @rdname element\n#' @param linetype Line type. An integer (0:8), a name (blank, solid,\n#'    dashed, dotted, dotdash, longdash, twodash), or a string with\n#'    an even number (up to eight) of hexadecimal digits which give the\n#'    lengths in consecutive positions in the string.\n#' @param lineend Line end Line end style (round, butt, square)\n#' @param arrow Arrow specification, as created by [grid::arrow()]\nelement_line <- function(colour = NULL, size = NULL, linetype = NULL,\n  lineend = NULL, color = NULL, arrow = NULL, inherit.blank = FALSE) {\n\n  if (!is.null(color))  colour <- color\n  if (is.null(arrow)) arrow <- FALSE\n  structure(\n    list(colour = colour, size = size, linetype = linetype, lineend = lineend,\n      arrow = arrow, inherit.blank = inherit.blank),\n    class = c(\"element_line\", \"element\")\n  )\n}\n\n\n#' @param family Font family\n#' @param face Font face (\"plain\", \"italic\", \"bold\", \"bold.italic\")\n#' @param hjust Horizontal justification (in \\eqn{[0, 1]})\n#' @param vjust Vertical justification (in \\eqn{[0, 1]})\n#' @param angle Angle (in \\eqn{[0, 360]})\n#' @param lineheight Line height\n#' @param margin Margins around the text. See [margin()] for more\n#'   details. When creating a theme, the margins should be placed on the\n#'   side of the text facing towards the center of the plot.\n#' @param debug If `TRUE`, aids visual debugging by drawing a solid\n#'   rectangle behind the complete text area, and a point where each label\n#'   is anchored.\n#' @export\n#' @rdname element\nelement_text <- function(family = NULL, face = NULL, colour = NULL,\n  size = NULL, hjust = NULL, vjust = NULL, angle = NULL, lineheight = NULL,\n  color = NULL, margin = NULL, debug = NULL, inherit.blank = FALSE) {\n\n  if (!is.null(color))  colour <- color\n  structure(\n    list(family = family, face = face, colour = colour, size = size,\n      hjust = hjust, vjust = vjust, angle = angle, lineheight = lineheight,\n      margin = margin, debug = debug, inherit.blank = inherit.blank),\n    class = c(\"element_text\", \"element\")\n  )\n}\n\n\n#' @export\nprint.element <- function(x, ...) utils::str(x)\n\n\n#' @param x A single number specifying size relative to parent element.\n#' @rdname element\n#' @export\nrel <- function(x) {\n  structure(x, class = \"rel\")\n}\n\n#' @export\nprint.rel <- function(x, ...) print(noquote(paste(x, \" *\", sep = \"\")))\n\n#' Reports whether x is a rel object\n#' @param x An object to test\n#' @keywords internal\nis.rel <- function(x) inherits(x, \"rel\")\n\n# Given a theme object and element name, return a grob for the element\nelement_render <- function(theme, element, ..., name = NULL) {\n\n  # Get the element from the theme, calculating inheritance\n  el <- calc_element(element, theme)\n  if (is.null(el)) {\n    message(\"Theme element \", element, \" missing\")\n    return(zeroGrob())\n  }\n\n  grob <- element_grob(el, ...)\n  ggname(paste(element, name, sep = \".\"), grob)\n}\n\n\n# Returns NULL if x is length 0\nlen0_null <- function(x) {\n  if (length(x) == 0)  NULL\n  else                 x\n}\n\n\n#' Generate grid grob from theme element\n#'\n#' @param element Theme element, i.e. `element_rect` or similar.\n#' @param ... Other arguments to control specific of rendering. This is\n#'   usually at least position. See the source code for individual methods.\n#' @keywords internal\n#' @export\nelement_grob <- function(element, ...) {\n  UseMethod(\"element_grob\")\n}\n\n#' @export\nelement_grob.element_blank <- function(element, ...)  zeroGrob()\n\n#' @export\nelement_grob.element_rect <- function(element, x = 0.5, y = 0.5,\n  width = 1, height = 1,\n  fill = NULL, colour = NULL, size = NULL, linetype = NULL, ...) {\n\n  # The gp settings can override element_gp\n  gp <- gpar(lwd = len0_null(size * .pt), col = colour, fill = fill, lty = linetype)\n  element_gp <- gpar(lwd = len0_null(element$size * .pt), col = element$colour,\n    fill = element$fill, lty = element$linetype)\n\n  rectGrob(x, y, width, height, gp = modify_list(element_gp, gp), ...)\n}\n\n\n#' @export\nelement_grob.element_text <- function(element, label = \"\", x = NULL, y = NULL,\n  family = NULL, face = NULL, colour = NULL, size = NULL,\n  hjust = NULL, vjust = NULL, angle = NULL, lineheight = NULL,\n  margin = NULL, margin_x = FALSE, margin_y = FALSE, ...) {\n\n  if (is.null(label))\n    return(zeroGrob())\n\n  vj <- vjust %||% element$vjust\n  hj <- hjust %||% element$hjust\n  margin <- margin %||% element$margin\n\n  angle <- angle %||% element$angle %||% 0\n\n  # The gp settings can override element_gp\n  gp <- gpar(fontsize = size, col = colour,\n    fontfamily = family, fontface = face,\n    lineheight = lineheight)\n  element_gp <- gpar(fontsize = element$size, col = element$colour,\n    fontfamily = element$family, fontface = element$face,\n    lineheight = element$lineheight)\n\n  titleGrob(label, x, y, hjust = hj, vjust = vj, angle = angle,\n    gp = modify_list(element_gp, gp), margin = margin,\n    margin_x = margin_x, margin_y = margin_y, debug = element$debug)\n}\n\n\n\n#' @export\nelement_grob.element_line <- function(element, x = 0:1, y = 0:1,\n  colour = NULL, size = NULL, linetype = NULL, lineend = NULL,\n  default.units = \"npc\", id.lengths = NULL, ...) {\n\n  # The gp settings can override element_gp\n  gp <- gpar(\n    col = colour, fill = colour,\n    lwd = len0_null(size * .pt), lty = linetype, lineend = lineend\n  )\n  element_gp <- gpar(\n    col = element$colour, fill = element$colour,\n    lwd = len0_null(element$size * .pt), lty = element$linetype,\n    lineend = element$lineend\n  )\n  arrow <- if (is.logical(element$arrow) && !element$arrow) {\n    NULL\n  } else {\n    element$arrow\n  }\n  polylineGrob(\n    x, y, default.units = default.units,\n    gp = modify_list(element_gp, gp),\n    id.lengths = id.lengths, arrow = arrow, ...\n  )\n}\n\n\n\n# Define an element's class and what other elements it inherits from\n#\n# @param class The name of class (like \"element_line\", \"element_text\",\n#  or the reserved \"character\", which means a character vector (not\n#  \"character\" class)\n# @param inherit A vector of strings, naming the elements that this\n#  element inherits from.\nel_def <- function(class = NULL, inherit = NULL, description = NULL) {\n  list(class = class, inherit = inherit, description = description)\n}\n\n\n# This data structure represents the theme elements and the inheritance\n# among them. (In the future, .element_tree should be removed in favor\n# of direct assignment to ggplot_global$element_tree, see below.)\n.element_tree <- list(\n  line                = el_def(\"element_line\"),\n  rect                = el_def(\"element_rect\"),\n  text                = el_def(\"element_text\"),\n  title               = el_def(\"element_text\", \"text\"),\n  axis.line           = el_def(\"element_line\", \"line\"),\n  axis.text           = el_def(\"element_text\", \"text\"),\n  axis.title          = el_def(\"element_text\", \"title\"),\n  axis.ticks          = el_def(\"element_line\", \"line\"),\n  legend.key.size     = el_def(\"unit\"),\n  panel.grid          = el_def(\"element_line\", \"line\"),\n  panel.grid.major    = el_def(\"element_line\", \"panel.grid\"),\n  panel.grid.minor    = el_def(\"element_line\", \"panel.grid\"),\n  strip.text          = el_def(\"element_text\", \"text\"),\n\n  axis.line.x         = el_def(\"element_line\", \"axis.line\"),\n  axis.line.x.top     = el_def(\"element_line\", \"axis.line.x\"),\n  axis.line.x.bottom  = el_def(\"element_line\", \"axis.line.x\"),\n  axis.line.y         = el_def(\"element_line\", \"axis.line\"),\n  axis.line.y.left    = el_def(\"element_line\", \"axis.line.y\"),\n  axis.line.y.right   = el_def(\"element_line\", \"axis.line.y\"),\n  axis.text.x         = el_def(\"element_text\", \"axis.text\"),\n  axis.text.x.top     = el_def(\"element_text\", \"axis.text.x\"),\n  axis.text.x.bottom  = el_def(\"element_text\", \"axis.text.x\"),\n  axis.text.y         = el_def(\"element_text\", \"axis.text\"),\n  axis.text.y.left    = el_def(\"element_text\", \"axis.text.y\"),\n  axis.text.y.right   = el_def(\"element_text\", \"axis.text.y\"),\n  axis.ticks.length   = el_def(\"unit\"),\n  axis.ticks.x        = el_def(\"element_line\", \"axis.ticks\"),\n  axis.ticks.x.top    = el_def(\"element_line\", \"axis.ticks.x\"),\n  axis.ticks.x.bottom = el_def(\"element_line\", \"axis.ticks.x\"),\n  axis.ticks.y        = el_def(\"element_line\", \"axis.ticks\"),\n  axis.ticks.y.left   = el_def(\"element_line\", \"axis.ticks.y\"),\n  axis.ticks.y.right  = el_def(\"element_line\", \"axis.ticks.y\"),\n  axis.title.x        = el_def(\"element_text\", \"axis.title\"),\n  axis.title.x.top    = el_def(\"element_text\", \"axis.title.x\"),\n  axis.title.x.bottom = el_def(\"element_text\", \"axis.title.x\"),\n  axis.title.y        = el_def(\"element_text\", \"axis.title\"),\n  axis.title.y.left   = el_def(\"element_text\", \"axis.title.y\"),\n  axis.title.y.right  = el_def(\"element_text\", \"axis.title.y\"),\n\n  legend.background   = el_def(\"element_rect\", \"rect\"),\n  legend.margin       = el_def(\"margin\"),\n  legend.spacing      = el_def(\"unit\"),\n  legend.spacing.x     = el_def(\"unit\", \"legend.spacing\"),\n  legend.spacing.y     = el_def(\"unit\", \"legend.spacing\"),\n  legend.key          = el_def(\"element_rect\", \"rect\"),\n  legend.key.height   = el_def(\"unit\", \"legend.key.size\"),\n  legend.key.width    = el_def(\"unit\", \"legend.key.size\"),\n  legend.text         = el_def(\"element_text\", \"text\"),\n  legend.text.align   = el_def(\"character\"),\n  legend.title        = el_def(\"element_text\", \"title\"),\n  legend.title.align  = el_def(\"character\"),\n  legend.position     = el_def(\"character\"),  # Need to also accept numbers\n  legend.direction    = el_def(\"character\"),\n  legend.justification = el_def(\"character\"),\n  legend.box          = el_def(\"character\"),\n  legend.box.just     = el_def(\"character\"),\n  legend.box.margin   = el_def(\"margin\"),\n  legend.box.background = el_def(\"element_rect\", \"rect\"),\n  legend.box.spacing  = el_def(\"unit\"),\n\n  panel.background    = el_def(\"element_rect\", \"rect\"),\n  panel.border        = el_def(\"element_rect\", \"rect\"),\n  panel.spacing       = el_def(\"unit\"),\n  panel.spacing.x     = el_def(\"unit\", \"panel.spacing\"),\n  panel.spacing.y     = el_def(\"unit\", \"panel.spacing\"),\n  panel.grid.major.x  = el_def(\"element_line\", \"panel.grid.major\"),\n  panel.grid.major.y  = el_def(\"element_line\", \"panel.grid.major\"),\n  panel.grid.minor.x  = el_def(\"element_line\", \"panel.grid.minor\"),\n  panel.grid.minor.y  = el_def(\"element_line\", \"panel.grid.minor\"),\n  panel.ontop         = el_def(\"logical\"),\n\n  strip.background    = el_def(\"element_rect\", \"rect\"),\n  strip.background.x  = el_def(\"element_rect\", \"strip.background\"),\n  strip.background.y  = el_def(\"element_rect\", \"strip.background\"),\n  strip.text.x        = el_def(\"element_text\", \"strip.text\"),\n  strip.text.y        = el_def(\"element_text\", \"strip.text\"),\n  strip.placement     = el_def(\"character\"),\n  strip.placement.x   = el_def(\"character\", \"strip.placement\"),\n  strip.placement.y   = el_def(\"character\", \"strip.placement\"),\n  strip.switch.pad.grid = el_def(\"unit\"),\n  strip.switch.pad.wrap = el_def(\"unit\"),\n\n  plot.background     = el_def(\"element_rect\", \"rect\"),\n  plot.title          = el_def(\"element_text\", \"title\"),\n  plot.subtitle       = el_def(\"element_text\", \"title\"),\n  plot.caption        = el_def(\"element_text\", \"title\"),\n  plot.tag            = el_def(\"element_text\", \"title\"),\n  plot.tag.position   = el_def(\"character\"),  # Need to also accept numbers\n  plot.margin         = el_def(\"margin\"),\n\n  aspect.ratio        = el_def(\"character\")\n)\n\nggplot_global$element_tree <- .element_tree\n\n# Check that an element object has the proper class\n#\n# Given an element object and the name of the element, this function\n# checks it against the element inheritance tree to make sure the\n# element is of the correct class\n#\n# It throws error if invalid, and returns invisible() if valid.\n#\n# @param el an element\n# @param elname the name of the element\nvalidate_element <- function(el, elname) {\n  eldef <- ggplot_global$element_tree[[elname]]\n\n  if (is.null(eldef)) {\n    stop('\"', elname, '\" is not a valid theme element name.')\n  }\n\n  # NULL values for elements are OK\n  if (is.null(el)) return()\n\n  if (eldef$class == \"character\") {\n    # Need to be a bit looser here since sometimes it's a string like \"top\"\n    # but sometimes its a vector like c(0,0)\n    if (!is.character(el) && !is.numeric(el))\n      stop(\"Element \", elname, \" must be a string or numeric vector.\")\n  } else if (eldef$class == \"margin\") {\n    if (!is.unit(el) && length(el) == 4)\n      stop(\"Element \", elname, \" must be a unit vector of length 4.\")\n  } else if (!inherits(el, eldef$class) && !inherits(el, \"element_blank\")) {\n      stop(\"Element \", elname, \" must be a \", eldef$class, \" object.\")\n  }\n  invisible()\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/theme-elements.r"},{"filename":"ggplot2/R/guides-axis.r","content":"# Grob for axes\n#\n# @param position of ticks\n# @param labels at ticks\n# @param position of axis (top, bottom, left or right)\n# @param range of data values\nguide_axis <- function(at, labels, position = \"right\", theme) {\n  if (length(at) == 0)\n    return(zeroGrob())\n\n  at <- unit(at, \"native\")\n  position <- match.arg(position, c(\"top\", \"bottom\", \"right\", \"left\"))\n\n  zero <- unit(0, \"npc\")\n  one <- unit(1, \"npc\")\n\n  label_render <- switch(position,\n    top = \"axis.text.x.top\", bottom = \"axis.text.x.bottom\",\n    left = \"axis.text.y.left\", right = \"axis.text.y.right\"\n  )\n\n  label_x <- switch(position,\n    top = ,\n    bottom = at,\n    right = theme$axis.ticks.length,\n    left = one - theme$axis.ticks.length\n  )\n  label_y <- switch(position,\n    top = theme$axis.ticks.length,\n    bottom = one - theme$axis.ticks.length,\n    right = ,\n    left = at\n  )\n\n  if (is.list(labels)) {\n    if (any(sapply(labels, is.language))) {\n      labels <- do.call(expression, labels)\n    } else {\n      labels <- unlist(labels)\n    }\n  }\n\n  labels <- switch(position,\n    top = ,\n    bottom = element_render(theme, label_render, labels, x = label_x, margin_y = TRUE),\n    right = ,\n    left =  element_render(theme, label_render, labels, y = label_y, margin_x = TRUE))\n\n  line <- switch(position,\n    top =    element_render(theme, \"axis.line.x.top\", c(0, 1), c(0, 0), id.lengths = 2),\n    bottom = element_render(theme, \"axis.line.x.bottom\", c(0, 1), c(1, 1), id.lengths = 2),\n    right =  element_render(theme, \"axis.line.y.right\", c(0, 0), c(0, 1), id.lengths = 2),\n    left =   element_render(theme, \"axis.line.y.left\", c(1, 1), c(0, 1), id.lengths = 2)\n  )\n\n  nticks <- length(at)\n\n  ticks <- switch(position,\n    top = element_render(theme, \"axis.ticks.x.top\",\n      x          = rep(at, each = 2),\n      y          = rep(unit.c(zero, theme$axis.ticks.length), nticks),\n      id.lengths = rep(2, nticks)),\n    bottom = element_render(theme, \"axis.ticks.x.bottom\",\n      x          = rep(at, each = 2),\n      y          = rep(unit.c(one - theme$axis.ticks.length, one), nticks),\n      id.lengths = rep(2, nticks)),\n    right = element_render(theme, \"axis.ticks.y.right\",\n      x          = rep(unit.c(zero, theme$axis.ticks.length), nticks),\n      y          = rep(at, each = 2),\n      id.lengths = rep(2, nticks)),\n    left = element_render(theme, \"axis.ticks.y.left\",\n      x          = rep(unit.c(one - theme$axis.ticks.length, one), nticks),\n      y          = rep(at, each = 2),\n      id.lengths = rep(2, nticks))\n  )\n\n  # Create the gtable for the ticks + labels\n  gt <- switch(position,\n    top    = gtable_col(\"axis\",\n      grobs   = list(labels, ticks),\n      width   = one,\n      heights = unit.c(grobHeight(labels), theme$axis.ticks.length)\n    ),\n    bottom = gtable_col(\"axis\",\n      grobs   = list(ticks, labels),\n      width   = one,\n      heights = unit.c(theme$axis.ticks.length, grobHeight(labels))\n    ),\n    right  = gtable_row(\"axis\",\n      grobs   = list(ticks, labels),\n      widths  = unit.c(theme$axis.ticks.length, grobWidth(labels)),\n      height  = one\n    ),\n    left   = gtable_row(\"axis\",\n      grobs   = list(labels, ticks),\n      widths  = unit.c(grobWidth(labels), theme$axis.ticks.length),\n      height  = one\n    )\n  )\n\n  # Viewport for justifying the axis grob\n  justvp <- switch(position,\n    top    = viewport(y = 0, just = \"bottom\", height = gtable_height(gt)),\n    bottom = viewport(y = 1, just = \"top\",    height = gtable_height(gt)),\n    right  = viewport(x = 0, just = \"left\",   width  = gtable_width(gt)),\n    left   = viewport(x = 1, just = \"right\",  width  = gtable_width(gt))\n  )\n\n  absoluteGrob(\n    gList(line, gt),\n    width = gtable_width(gt),\n    height = gtable_height(gt),\n    vp = justvp\n  )\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/guides-axis.r"},{"filename":"ggplot2/R/coord-.r","content":"#' @section Coordinate systems:\n#'\n#' All `coord_*` functions (like `coord_trans`) return a `Coord*`\n#' object (like `CoordTrans`).\n#'\n#' Each of the `Coord*` objects is a [ggproto()] object,\n#' descended from the top-level `Coord`.  To create a new type of Coord\n#' object, you typically will want to implement one or more of the following:\n#'\n#'   - `aspect`: Returns the desired aspect ratio for the plot.\n#'   - `labels`: Returns a list containing labels for x and y.\n#'   - `render_fg`: Renders foreground elements.\n#'   - `render_bg`: Renders background elements.\n#'   - `render_axis_h`: Renders the horizontal axes.\n#'   - `render_axis_v`: Renders the vertical axes.\n#'   - `backtransform_range(panel_params)`: Extracts the panel range provided\n#'     in `panel_params` (created by `setup_panel_params()`, see below) and\n#'     back-transforms to data coordinates. This back-transformation can be needed\n#'     for coords such as `coord_trans()` where the range in the transformed\n#'     coordinates differs from the range in the untransformed coordinates. Returns\n#'     a list of two ranges, `x` and `y`, and these correspond to the variables\n#'     mapped to the `x` and `y` aesthetics, even for coords such as `coord_flip()`\n#'     where the `x` aesthetic is shown along the y direction and vice versa.\n#'   - `range(panel_params)`: Extracts the panel range provided\n#'     in `panel_params` (created by `setup_panel_params()`, see below) and\n#'     returns it. Unlike `backtransform_range()`, this function does not perform\n#'     any back-transformation and instead returns final transformed coordinates. Returns\n#'     a list of two ranges, `x` and `y`, and these correspond to the variables\n#'     mapped to the `x` and `y` aesthetics, even for coords such as `coord_flip()`\n#'     where the `x` aesthetic is shown along the y direction and vice versa.\n#'   - `transform`: Transforms x and y coordinates.\n#'   - `distance`: Calculates distance.\n#'   - `is_linear`: Returns `TRUE` if the coordinate system is\n#'     linear; `FALSE` otherwise.\n#'   - `is_free`: Returns `TRUE` if the coordinate system supports free\n#'     positional scales; `FALSE` otherwise.\n#'   - `setup_panel_params(scale_x, scale_y, params)`: Determines the appropriate\n#'     x and y ranges for each panel, and also calculates anything else needed to\n#'     render the panel and axes, such as tick positions and labels for major\n#'     and minor ticks. Returns all this information in a named list.\n#'   - `setup_data(data, params)`: Allows the coordinate system to\n#'     manipulate the plot data. Should return list of data frames.\n#'   - `setup_layout(layout, params)`: Allows the coordinate\n#'     system to manipulate the `layout` data frame which assigns\n#'     data to panels and scales.\n#'\n#' @rdname ggplot2-ggproto\n#' @format NULL\n#' @usage NULL\n#' @export\nCoord <- ggproto(\"Coord\",\n\n  # Is this the default coordinate system?\n  default = FALSE,\n\n  # should drawing be clipped to the extent of the plot panel?\n  # \"on\" = yes, \"off\" = no\n  clip = \"on\",\n\n  aspect = function(ranges) NULL,\n\n  labels = function(panel_params) panel_params,\n\n  render_fg = function(panel_params, theme) element_render(theme, \"panel.border\"),\n\n  render_bg = function(panel_params, theme) {\n    guide_grid(theme,\n               panel_params$x.minor,\n               panel_params$x.major,\n               panel_params$y.minor,\n               panel_params$y.major)\n  },\n\n  render_axis_h = function(panel_params, theme) {\n    arrange <- panel_params$x.arrange %||% c(\"secondary\", \"primary\")\n\n    list(\n      top = render_axis(panel_params, arrange[1], \"x\", \"top\", theme),\n      bottom = render_axis(panel_params, arrange[2], \"x\", \"bottom\", theme)\n    )\n  },\n\n  render_axis_v = function(panel_params, theme) {\n    arrange <- panel_params$y.arrange %||% c(\"primary\", \"secondary\")\n\n    list(\n      left = render_axis(panel_params, arrange[1], \"y\", \"left\", theme),\n      right = render_axis(panel_params, arrange[2], \"y\", \"right\", theme)\n    )\n  },\n\n  # transform range given in transformed coordinates\n  # back into range in given in (possibly scale-transformed)\n  # data coordinates\n  backtransform_range = function(self, panel_params) {\n    warning(\n      \"range backtransformation not implemented in this coord; results may be wrong.\",\n      call. = FALSE\n      )\n    # return result from range function for backwards compatibility\n    # before ggplot2 3.0.1\n    self$range(panel_params)\n  },\n\n  # return range stored in panel_params\n  range = function(panel_params) {\n    warning(\n      \"range calculation not implemented in this coord; results may be wrong.\",\n      call. = FALSE\n    )\n    list(x = panel_params$x.range, y = panel_params$y.range)\n  },\n\n  setup_panel_params = function(scale_x, scale_y, params = list()) {\n    list()\n  },\n\n  transform = function(data, range) NULL,\n\n  distance = function(x, y, panel_params) NULL,\n\n  is_linear = function() FALSE,\n\n  # Does the coordinate system support free scaling of axes in a faceted plot?\n  # Will generally have to return FALSE for coordinate systems that enforce a fixed aspect ratio.\n  is_free = function() FALSE,\n\n  setup_params = function(data) {\n    list()\n  },\n\n  setup_data = function(data, params = list()) {\n    data\n  },\n\n  setup_layout = function(layout, params) {\n    layout\n  },\n\n  # Optionally, modify list of x and y scales in place. Currently\n  # used as a fudge for CoordFlip and CoordPolar\n  modify_scales = function(scales_x, scales_y) {\n    invisible()\n  }\n)\n\n#' Is this object a coordinate system?\n#'\n#' @export is.Coord\n#' @keywords internal\nis.Coord <- function(x) inherits(x, \"Coord\")\n\nexpand_default <- function(scale, discrete = c(0, 0.6, 0, 0.6), continuous = c(0.05, 0, 0.05, 0)) {\n  scale$expand %|W|% if (scale$is_discrete()) discrete else continuous\n}\n\n# Renders an axis with the correct orientation or zeroGrob if no axis should be\n# generated\nrender_axis <- function(panel_params, axis, scale, position, theme) {\n  if (axis == \"primary\") {\n    guide_axis(panel_params[[paste0(scale, \".major\")]], panel_params[[paste0(scale, \".labels\")]], position, theme)\n  } else if (axis == \"secondary\" && !is.null(panel_params[[paste0(scale, \".sec.major\")]])) {\n    guide_axis(panel_params[[paste0(scale, \".sec.major\")]], panel_params[[paste0(scale, \".sec.labels\")]], position, theme)\n  } else {\n    zeroGrob()\n  }\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/coord-.r"},{"filename":"ggplot2/R/facet-.r","content":"#' @include ggproto.r\nNULL\n\n#' @section Facets:\n#'\n#' All `facet_*` functions returns a `Facet` object or an object of a\n#' `Facet` subclass. This object describes how to assign data to different\n#' panels, how to apply positional scales and how to lay out the panels, once\n#' rendered.\n#'\n#' Extending facets can range from the simple modifications of current facets,\n#' to very laborious rewrites with a lot of [gtable()] manipulation.\n#' For some examples of both, please see the extension vignette.\n#'\n#' `Facet` subclasses, like other extendible ggproto classes, have a range\n#' of methods that can be modified. Some of these are required for all new\n#' subclasses, while other only need to be modified if need arises.\n#'\n#' The required methods are:\n#'\n#'   - `compute_layout`: Based on layer data compute a mapping between\n#'   panels, axes, and potentially other parameters such as faceting variable\n#'   level etc. This method must return a data.frame containing at least the\n#'   columns `PANEL`, `SCALE_X`, and `SCALE_Y` each containing\n#'   integer keys mapping a PANEL to which axes it should use. In addition the\n#'   data.frame can contain whatever other information is necessary to assign\n#'   observations to the correct panel as well as determining the position of\n#'   the panel.\n#'\n#'   - `map_data`: This method is supplied the data for each layer in\n#'   turn and is expected to supply a `PANEL` column mapping each row to a\n#'   panel defined in the layout. Additionally this method can also add or\n#'   subtract data points as needed e.g. in the case of adding margins to\n#'   `facet_grid`.\n#'\n#'   - `draw_panels`: This is where the panels are assembled into a\n#'   `gtable` object. The method receives, among others, a list of grobs\n#'   defining the content of each panel as generated by the Geoms and Coord\n#'   objects. The responsibility of the method is to decorate the panels with\n#'   axes and strips as needed, as well as position them relative to each other\n#'   in a gtable. For some of the automatic functions to work correctly, each\n#'   panel, axis, and strip grob name must be prefixed with \"panel\", \"axis\", and\n#'   \"strip\" respectively.\n#'\n#' In addition to the methods described above, it is also possible to override\n#' the default behaviour of one or more of the following methods:\n#'\n#'   - `setup_params`:\n#'   - `init_scales`: Given a master scale for x and y, create panel\n#'   specific scales for each panel defined in the layout. The default is to\n#'   simply clone the master scale.\n#'\n#'   - `train_scales`: Based on layer data train each set of panel\n#'   scales. The default is to train it on the data related to the panel.\n#'\n#'   - `finish_data`: Make last-minute modifications to layer data\n#'   before it is rendered by the Geoms. The default is to not modify it.\n#'\n#'   - `draw_back`: Add a grob in between the background defined by the\n#'   Coord object (usually the axis grid) and the layer stack. The default is to\n#'   return an empty grob for each panel.\n#'\n#'   - `draw_front`: As above except the returned grob is placed\n#'   between the layer stack and the foreground defined by the Coord object\n#'   (usually empty). The default is, as above, to return an empty grob.\n#'\n#'   - `draw_labels`: Given the gtable returned by `draw_panels`,\n#'   add axis titles to the gtable. The default is to add one title at each side\n#'   depending on the position and existence of axes.\n#'\n#' All extension methods receive the content of the params field as the params\n#' argument, so the constructor function will generally put all relevant\n#' information into this field. The only exception is the `shrink`\n#' parameter which is used to determine if scales are retrained after Stat\n#' transformations has been applied.\n#'\n#' @rdname ggplot2-ggproto\n#' @format NULL\n#' @usage NULL\n#' @export\nFacet <- ggproto(\"Facet\", NULL,\n  shrink = FALSE,\n  params = list(),\n\n  compute_layout = function(data, params) {\n    stop(\"Not implemented\", call. = FALSE)\n  },\n  map_data = function(data, layout, params) {\n    stop(\"Not implemented\", call. = FALSE)\n  },\n  init_scales = function(layout, x_scale = NULL, y_scale = NULL, params) {\n    scales <- list()\n    if (!is.null(x_scale)) {\n      scales$x <- lapply(seq_len(max(layout$SCALE_X)), function(i) x_scale$clone())\n    }\n    if (!is.null(y_scale)) {\n      scales$y <- lapply(seq_len(max(layout$SCALE_Y)), function(i) y_scale$clone())\n    }\n    scales\n  },\n  train_scales = function(x_scales, y_scales, layout, data, params) {\n    # loop over each layer, training x and y scales in turn\n    for (layer_data in data) {\n      match_id <- match(layer_data$PANEL, layout$PANEL)\n\n      if (!is.null(x_scales)) {\n        x_vars <- intersect(x_scales[[1]]$aesthetics, names(layer_data))\n        SCALE_X <- layout$SCALE_X[match_id]\n\n        scale_apply(layer_data, x_vars, \"train\", SCALE_X, x_scales)\n      }\n\n      if (!is.null(y_scales)) {\n        y_vars <- intersect(y_scales[[1]]$aesthetics, names(layer_data))\n        SCALE_Y <- layout$SCALE_Y[match_id]\n\n        scale_apply(layer_data, y_vars, \"train\", SCALE_Y, y_scales)\n      }\n    }\n  },\n  draw_back = function(data, layout, x_scales, y_scales, theme, params) {\n    rep(list(zeroGrob()), length(unique(layout$PANEL)))\n  },\n  draw_front = function(data, layout, x_scales, y_scales, theme, params) {\n    rep(list(zeroGrob()), length(unique(layout$PANEL)))\n  },\n  draw_panels = function(panels, layout, x_scales, y_scales, ranges, coord, data, theme, params) {\n    stop(\"Not implemented\", call. = FALSE)\n  },\n  draw_labels = function(panels, layout, x_scales, y_scales, ranges, coord, data, theme, labels, params) {\n    panel_dim <-  find_panel(panels)\n\n    xlab_height_top <- grobHeight(labels$x[[1]])\n    panels <- gtable_add_rows(panels, xlab_height_top, pos = 0)\n    panels <- gtable_add_grob(panels, labels$x[[1]], name = \"xlab-t\",\n      l = panel_dim$l, r = panel_dim$r, t = 1, clip = \"off\")\n\n    xlab_height_bottom <- grobHeight(labels$x[[2]])\n    panels <- gtable_add_rows(panels, xlab_height_bottom, pos = -1)\n    panels <- gtable_add_grob(panels, labels$x[[2]], name = \"xlab-b\",\n      l = panel_dim$l, r = panel_dim$r, t = -1, clip = \"off\")\n\n    panel_dim <-  find_panel(panels)\n\n    ylab_width_left <- grobWidth(labels$y[[1]])\n    panels <- gtable_add_cols(panels, ylab_width_left, pos = 0)\n    panels <- gtable_add_grob(panels, labels$y[[1]], name = \"ylab-l\",\n      l = 1, b = panel_dim$b, t = panel_dim$t, clip = \"off\")\n\n    ylab_width_right <- grobWidth(labels$y[[2]])\n    panels <- gtable_add_cols(panels, ylab_width_right, pos = -1)\n    panels <- gtable_add_grob(panels, labels$y[[2]], name = \"ylab-r\",\n      l = -1, b = panel_dim$b, t = panel_dim$t, clip = \"off\")\n\n    panels\n  },\n  setup_params = function(data, params) {\n    params\n  },\n  setup_data = function(data, params) {\n    data\n  },\n  finish_data = function(data, layout, x_scales, y_scales, params) {\n    data\n  },\n  vars = function() {\n    character(0)\n  }\n)\n\n# Helpers -----------------------------------------------------------------\n\n#' Quote faceting variables\n#'\n#' @description\n#' Just like [aes()], `vars()` is a [quoting function][rlang::quotation]\n#' that takes inputs to be evaluated in the context of a dataset.\n#' These inputs can be:\n#'\n#' * variable names\n#' * complex expressions\n#'\n#' In both cases, the results (the vectors that the variable\n#' represents or the results of the expressions) are used to form\n#' faceting groups.\n#'\n#' @param ... Variables or expressions automatically quoted. These are\n#'   evaluated in the context of the data to form faceting groups. Can\n#'   be named (the names are passed to a [labeller][labellers]).\n#'\n#' @seealso [aes()], [facet_wrap()], [facet_grid()]\n#' @export\n#' @examples\n#' p <- ggplot(mtcars, aes(wt, disp)) + geom_point()\n#' p + facet_wrap(vars(vs, am))\n#'\n#' # vars() makes it easy to pass variables from wrapper functions:\n#' wrap_by <- function(...) {\n#'   facet_wrap(vars(...), labeller = label_both)\n#' }\n#' p + wrap_by(vs)\n#' p + wrap_by(vs, am)\n#'\n#' # You can also supply expressions to vars(). In this case it's often a\n#' # good idea to supply a name as well:\n#' p + wrap_by(drat = cut_number(drat, 3))\n#'\n#' # Let's create another function for cutting and wrapping a\n#' # variable. This time it will take a named argument instead of dots,\n#' # so we'll have to use the \"enquote and unquote\" pattern:\n#' wrap_cut <- function(var, n = 3) {\n#'   # Let's enquote the named argument `var` to make it auto-quoting:\n#'   var <- enquo(var)\n#'\n#'   # `quo_name()` will create a nice default name:\n#'   nm <- quo_name(var)\n#'\n#'   # Now let's unquote everything at the right place. Note that we also\n#'   # unquote `n` just in case the data frame has a column named\n#'   # `n`. The latter would have precedence over our local variable\n#'   # because the data is always masking the environment.\n#'   wrap_by(!!nm := cut_number(!!var, !!n))\n#' }\n#'\n#' # Thanks to tidy eval idioms we now have another useful wrapper:\n#' p + wrap_cut(drat)\nvars <- function(...) {\n  rlang::quos(...)\n}\n\n\n#' Is this object a faceting specification?\n#'\n#' @param x object to test\n#' @keywords internal\n#' @export\nis.facet <- function(x) inherits(x, \"Facet\")\n\n# A \"special\" value, currently not used but could be used to determine\n# if faceting is active\nNO_PANEL <- -1L\n\nunique_combs <- function(df) {\n  if (length(df) == 0) return()\n\n  unique_values <- lapply(df, ulevels)\n  rev(expand.grid(rev(unique_values), stringsAsFactors = FALSE,\n    KEEP.OUT.ATTRS = TRUE))\n}\n\ndf.grid <- function(a, b) {\n  if (is.null(a) || nrow(a) == 0) return(b)\n  if (is.null(b) || nrow(b) == 0) return(a)\n\n  indexes <- expand.grid(\n    i_a = seq_len(nrow(a)),\n    i_b = seq_len(nrow(b))\n  )\n  unrowname(cbind(\n    a[indexes$i_a, , drop = FALSE],\n    b[indexes$i_b, , drop = FALSE]\n  ))\n}\n\n# A facets spec is a list of facets. A grid facetting needs two facets\n# while a wrap facetting flattens all dimensions and thus accepts any\n# number of facets.\n#\n# A facets is a list of grouping variables. They are typically\n# supplied as variable names but can be expressions.\n#\n# as_facets() is complex due to historical baggage but its main\n# purpose is to create a facets spec from a formula: a + b ~ c + d\n# creates a facets list with two components, each of which bundles two\n# facetting variables.\n\nas_facets_list <- function(x) {\n  if (inherits(x, \"mapping\")) {\n    stop(\"Please use `vars()` to supply facet variables\")\n  }\n  if (inherits(x, \"quosures\")) {\n    x <- rlang::quos_auto_name(x)\n    return(list(x))\n  }\n\n  # This needs to happen early because we might get a formula.\n  # facet_grid() directly converted strings to a formula while\n  # facet_wrap() called as.quoted(). Hence this is a little more\n  # complicated for backward compatibility.\n  if (rlang::is_string(x)) {\n    x <- rlang::parse_expr(x)\n  }\n\n  # At this level formulas are coerced to lists of lists for backward\n  # compatibility with facet_grid(). The LHS and RHS are treated as\n  # distinct facet dimensions and `+` defines multiple facet variables\n  # inside each dimension.\n  if (rlang::is_formula(x)) {\n    return(f_as_facets_list(x))\n  }\n\n  # For backward-compatibility with facet_wrap()\n  if (!rlang::is_bare_list(x)) {\n    x <- as_quoted(x)\n  }\n\n  # If we have a list there are two possibilities. We may already have\n  # a proper facet spec structure. Otherwise we coerce each element\n  # with as_quoted() for backward compatibility with facet_grid().\n  if (is.list(x)) {\n    x <- lapply(x, as_facets)\n  }\n\n  if (sum(vapply(x, length, integer(1))) == 0L) {\n    stop(\"Must specify at least one variable to facet by\", call. = FALSE)\n  }\n\n  x\n}\n\n# Compatibility with plyr::as.quoted()\nas_quoted <- function(x) {\n  if (is.character(x)) {\n    if (length(x) > 1) {\n      x <- paste(x, collapse = \"; \")\n    }\n    return(rlang::parse_exprs(x))\n  }\n  if (is.null(x)) {\n    return(list())\n  }\n  if (rlang::is_formula(x)) {\n    return(simplify(x))\n  }\n  list(x)\n}\n# From plyr:::as.quoted.formula\nsimplify <- function(x) {\n  if (length(x) == 2 && rlang::is_symbol(x[[1]], \"~\")) {\n    return(simplify(x[[2]]))\n  }\n  if (length(x) < 3) {\n    return(list(x))\n  }\n  op <- x[[1]]; a <- x[[2]]; b <- x[[3]]\n\n  if (rlang::is_symbol(op, c(\"+\", \"*\", \"~\"))) {\n    c(simplify(a), simplify(b))\n  } else if (rlang::is_symbol(op, \"-\")) {\n    c(simplify(a), expr(-!!simplify(b)))\n  } else {\n    list(x)\n  }\n}\n\nf_as_facets_list <- function(f) {\n  lhs <- function(x) if (length(x) == 2) NULL else x[-3]\n  rhs <- function(x) if (length(x) == 2) x else x[-2]\n\n  rows <- f_as_facets(lhs(f))\n  cols <- f_as_facets(rhs(f))\n\n  if (length(rows) + length(cols) == 0) {\n    stop(\"Must specify at least one variable to facet by\", call. = FALSE)\n  }\n\n  if (length(rows)) {\n    list(rows, cols)\n  } else {\n    list(cols)\n  }\n}\n\nas_facets <- function(x) {\n  if (is_facets(x)) {\n    return(x)\n  }\n\n  if (rlang::is_formula(x)) {\n    # Use different formula method because plyr's does not handle the\n    # environment correctly.\n    f_as_facets(x)\n  } else {\n    vars <- as_quoted(x)\n    rlang::as_quosures(vars, globalenv(), named = TRUE)\n  }\n}\nf_as_facets <- function(f) {\n  if (is.null(f)) {\n    return(rlang::as_quosures(list()))\n  }\n\n  env <- rlang::f_env(f) %||% globalenv()\n\n  # as.quoted() handles `+` specifications\n  vars <- as.quoted(f)\n\n  # `.` in formulas is ignored\n  vars <- discard_dots(vars)\n\n  rlang::as_quosures(vars, env, named = TRUE)\n}\ndiscard_dots <- function(x) {\n  x[!vapply(x, identical, logical(1), as.name(\".\"))]\n}\n\nis_facets <- function(x) {\n  if (!is.list(x)) {\n    return(FALSE)\n  }\n  if (!length(x)) {\n    return(FALSE)\n  }\n  all(vapply(x, rlang::is_quosure, logical(1)))\n}\n\n\n# When evaluating variables in a facet specification, we evaluate bare\n# variables and expressions slightly differently. Bare variables should\n# always succeed, even if the variable doesn't exist in the data frame:\n# that makes it possible to repeat data across multiple factors. But\n# when evaluating an expression, you want to see any errors. That does\n# mean you can't have background data when faceting by an expression,\n# but that seems like a reasonable tradeoff.\neval_facets <- function(facets, data, env = globalenv()) {\n  vars <- compact(lapply(facets, eval_facet, data, env = env))\n  tibble::as_tibble(vars)\n}\neval_facet <- function(facet, data, env = emptyenv()) {\n  if (rlang::quo_is_symbol(facet)) {\n    facet <- as.character(rlang::quo_get_expr(facet))\n\n    if (facet %in% names(data)) {\n      out <- data[[facet]]\n    } else {\n      out <- NULL\n    }\n    return(out)\n  }\n\n  rlang::eval_tidy(facet, data, env)\n}\n\nlayout_null <- function() {\n  # PANEL needs to be a factor to be consistent with other facet types\n  new_data_frame(list(PANEL = factor(1), ROW = 1, COL = 1, SCALE_X = 1, SCALE_Y = 1))\n}\n\ncheck_layout <- function(x) {\n  if (all(c(\"PANEL\", \"SCALE_X\", \"SCALE_Y\") %in% names(x))) {\n    return()\n  }\n\n  stop(\n    \"Facet layout has bad format. \",\n    \"It must contain columns 'PANEL', 'SCALE_X', and 'SCALE_Y'\",\n    call. = FALSE\n  )\n}\n\n\n#' Get the maximal width/length of a list of grobs\n#'\n#' @param grobs A list of grobs\n#' @param value_only Should the return value be a simple numeric vector giving\n#' the maximum in cm\n#'\n#' @return The largest value. measured in cm as a unit object or a numeric\n#' vector depending on `value_only`\n#'\n#' @keywords internal\n#' @export\nmax_height <- function(grobs, value_only = FALSE) {\n  height <- max(unlist(lapply(grobs, height_cm)))\n  if (!value_only) height <- unit(height, \"cm\")\n  height\n}\n#' @rdname max_height\n#' @export\nmax_width <- function(grobs, value_only = FALSE) {\n  width <- max(unlist(lapply(grobs, width_cm)))\n  if (!value_only) width <- unit(width, \"cm\")\n  width\n}\n#' Find panels in a gtable\n#'\n#' These functions help detect the placement of panels in a gtable, if they are\n#' named with \"panel\" in the beginning. `find_panel` returns the extend of\n#' the panel area, while `panel_cols` and `panel_rows` returns the\n#' columns and rows that contains panels respectively.\n#'\n#' @param table A gtable\n#'\n#' @return A data.frame with some or all of the columns t(op), r(ight),\n#' b(ottom), and l(eft)\n#'\n#' @keywords internal\n#' @export\nfind_panel <- function(table) {\n  layout <- table$layout\n  panels <- layout[grepl(\"^panel\", layout$name), , drop = FALSE]\n\n  new_data_frame(list(\n    t = min(.subset2(panels, \"t\")),\n    r = max(.subset2(panels, \"r\")),\n    b = max(.subset2(panels, \"b\")),\n    l = min(.subset2(panels, \"l\"))\n  ), n = 1)\n}\n#' @rdname find_panel\n#' @export\npanel_cols = function(table) {\n  panels <- table$layout[grepl(\"^panel\", table$layout$name), , drop = FALSE]\n  unique(panels[, c('l', 'r')])\n}\n#' @rdname find_panel\n#' @export\npanel_rows <- function(table) {\n  panels <- table$layout[grepl(\"^panel\", table$layout$name), , drop = FALSE]\n  unique(panels[, c('t', 'b')])\n}\n#' Take input data and define a mapping between faceting variables and ROW,\n#' COL and PANEL keys\n#'\n#' @param data A list of data.frames, the first being the plot data and the\n#' subsequent individual layer data\n#' @param env The environment the vars should be evaluated in\n#' @param vars A list of quoted symbols matching columns in data\n#' @param drop should missing combinations/levels be dropped\n#'\n#' @return A data.frame with columns for PANEL, ROW, COL, and faceting vars\n#'\n#' @keywords internal\n#' @export\ncombine_vars <- function(data, env = emptyenv(), vars = NULL, drop = TRUE) {\n  if (length(vars) == 0) return(new_data_frame())\n\n  # For each layer, compute the facet values\n  values <- compact(lapply(data, eval_facets, facets = vars, env = env))\n\n  # Form the base data.frame which contains all combinations of faceting\n  # variables that appear in the data\n  has_all <- unlist(lapply(values, length)) == length(vars)\n  if (!any(has_all)) {\n    missing <- lapply(values, function(x) setdiff(names(vars), names(x)))\n    missing_txt <- vapply(missing, var_list, character(1))\n    name <- c(\"Plot\", paste0(\"Layer \", seq_len(length(data) - 1)))\n\n    stop(\n      \"At least one layer must contain all faceting variables: \",\n      var_list(names(vars)), \".\\n\",\n      paste0(\"* \", name, \" is missing \", missing_txt, collapse = \"\\n\"),\n      call. = FALSE\n    )\n  }\n\n  base <- unique(rbind_dfs(values[has_all]))\n  if (!drop) {\n    base <- unique_combs(base)\n  }\n\n  # Systematically add on missing combinations\n  for (value in values[!has_all]) {\n    if (empty(value)) next;\n\n    old <- base[setdiff(names(base), names(value))]\n    new <- unique(value[intersect(names(base), names(value))])\n    if (drop) {\n      new <- unique_combs(new)\n    }\n    base <- rbind(base, df.grid(old, new))\n  }\n\n  if (empty(base)) {\n    stop(\"Faceting variables must have at least one value\", call. = FALSE)\n  }\n\n  base\n}\n#' Render panel axes\n#'\n#' These helpers facilitates generating theme compliant axes when\n#' building up the plot.\n#'\n#' @param x,y A list of ranges as available to the draw_panel method in\n#' `Facet` subclasses.\n#' @param coord A `Coord` object\n#' @param theme A `theme` object\n#' @param transpose Should the output be transposed?\n#'\n#' @return A list with the element \"x\" and \"y\" each containing axis\n#' specifications for the ranges passed in. Each axis specification is a list\n#' with a \"top\" and \"bottom\" element for x-axes and \"left\" and \"right\" element\n#' for y-axis, holding the respective axis grobs. Depending on the content of x\n#' and y some of the grobs might be zeroGrobs. If `transpose=TRUE` the\n#' content of the x and y elements will be transposed so e.g. all left-axes are\n#' collected in a left element as a list of grobs.\n#'\n#' @keywords internal\n#' @export\n#'\nrender_axes <- function(x = NULL, y = NULL, coord, theme, transpose = FALSE) {\n  axes <- list()\n  if (!is.null(x)) {\n    axes$x <- lapply(x, coord$render_axis_h, theme)\n  }\n  if (!is.null(y)) {\n    axes$y <- lapply(y, coord$render_axis_v, theme)\n  }\n  if (transpose) {\n    axes <- list(\n      x = list(\n        top = lapply(axes$x, `[[`, \"top\"),\n        bottom = lapply(axes$x, `[[`, \"bottom\")\n      ),\n      y = list(\n        left = lapply(axes$y, `[[`, \"left\"),\n        right = lapply(axes$y, `[[`, \"right\")\n      )\n    )\n  }\n  axes\n}\n#' Render panel strips\n#'\n#' All positions are rendered and it is up to the facet to decide which to use\n#'\n#' @param x,y A data.frame with a column for each variable and a row for each\n#' combination to draw\n#' @param labeller A labeller function\n#' @param theme a `theme` object\n#'\n#' @return A list with an \"x\" and a \"y\" element, each containing a \"top\" and\n#' \"bottom\" or \"left\" and \"right\" element respectively. These contains a list of\n#' rendered strips as gtables.\n#'\n#' @keywords internal\n#' @export\nrender_strips <- function(x = NULL, y = NULL, labeller, theme) {\n  list(\n    x = build_strip(x, labeller, theme, TRUE),\n    y = build_strip(y, labeller, theme, FALSE)\n  )\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/facet-.r"},{"filename":"ggplot2/R/facet-grid-.r","content":"#' @include facet-.r\nNULL\n\n#' Lay out panels in a grid\n#'\n#' `facet_grid()` forms a matrix of panels defined by row and column\n#' faceting variables. It is most useful when you have two discrete\n#' variables, and all combinations of the variables exist in the data.\n#'\n#' @param rows,cols A set of variables or expressions quoted by\n#'   [vars()] and defining faceting groups on the rows or columns\n#'   dimension. The variables can be named (the names are passed to\n#'   `labeller`).\n#'\n#'   For compatibility with the classic interface, `rows` can also be\n#'   a formula with the rows (of the tabular display) on the LHS and\n#'   the columns (of the tabular display) on the RHS; the dot in the\n#'   formula is used to indicate there should be no faceting on this\n#'   dimension (either row or column).\n#' @param scales Are scales shared across all facets (the default,\n#'   `\"fixed\"`), or do they vary across rows (`\"free_x\"`),\n#'   columns (`\"free_y\"`), or both rows and columns (`\"free\"`)?\n#' @param space If `\"fixed\"`, the default, all panels have the same size.\n#'   If `\"free_y\"` their height will be proportional to the length of the\n#'   y scale; if `\"free_x\"` their width will be proportional to the\n#'  length of the x scale; or if `\"free\"` both height and width will\n#'  vary.  This setting has no effect unless the appropriate scales also vary.\n#' @param labeller A function that takes one data frame of labels and\n#'   returns a list or data frame of character vectors. Each input\n#'   column corresponds to one factor. Thus there will be more than\n#'   one with formulae of the type `~cyl + am`. Each output\n#'   column gets displayed as one separate line in the strip\n#'   label. This function should inherit from the \"labeller\" S3 class\n#'   for compatibility with [labeller()]. See\n#'   [label_value()] for more details and pointers to other\n#'   options.\n#' @param as.table If `TRUE`, the default, the facets are laid out like\n#'   a table with highest values at the bottom-right. If `FALSE`, the\n#'   facets are laid out like a plot with the highest value at the top-right.\n#' @param switch By default, the labels are displayed on the top and\n#'   right of the plot. If `\"x\"`, the top labels will be\n#'   displayed to the bottom. If `\"y\"`, the right-hand side\n#'   labels will be displayed to the left. Can also be set to\n#'   `\"both\"`.\n#' @param shrink If `TRUE`, will shrink scales to fit output of\n#'   statistics, not raw data. If `FALSE`, will be range of raw data\n#'   before statistical summary.\n#' @param drop If `TRUE`, the default, all factor levels not used in the\n#'   data will automatically be dropped. If `FALSE`, all factor levels\n#'   will be shown, regardless of whether or not they appear in the data.\n#' @param margins Either a logical value or a character\n#'   vector. Margins are additional facets which contain all the data\n#'   for each of the possible values of the faceting variables. If\n#'   `FALSE`, no additional facets are included (the\n#'   default). If `TRUE`, margins are included for all faceting\n#'   variables. If specified as a character vector, it is the names of\n#'   variables for which margins are to be created.\n#' @param facets This argument is soft-deprecated, please us `rows`\n#'   and `cols` instead.\n#' @export\n#' @examples\n#' p <- ggplot(mpg, aes(displ, cty)) + geom_point()\n#'\n#' # Use vars() to supply variables from the dataset:\n#' p + facet_grid(rows = vars(drv))\n#' p + facet_grid(cols = vars(cyl))\n#' p + facet_grid(vars(drv), vars(cyl))\n#'\n#' # The historical formula interface is also available:\n#' \\donttest{\n#' p + facet_grid(. ~ cyl)\n#' p + facet_grid(drv ~ .)\n#' p + facet_grid(drv ~ cyl)\n#' }\n#'\n#' # To change plot order of facet grid,\n#' # change the order of variable levels with factor()\n#'\n#' # If you combine a facetted dataset with a dataset that lacks those\n#' # faceting variables, the data will be repeated across the missing\n#' # combinations:\n#' df <- data.frame(displ = mean(mpg$displ), cty = mean(mpg$cty))\n#' p +\n#'   facet_grid(cols = vars(cyl)) +\n#'   geom_point(data = df, colour = \"red\", size = 2)\n#'\n#' # Free scales -------------------------------------------------------\n#' # You can also choose whether the scales should be constant\n#' # across all panels (the default), or whether they should be allowed\n#' # to vary\n#' mt <- ggplot(mtcars, aes(mpg, wt, colour = factor(cyl))) +\n#'   geom_point()\n#'\n#' mt + facet_grid(. ~ cyl, scales = \"free\")\n#'\n#' # If scales and space are free, then the mapping between position\n#' # and values in the data will be the same across all panels. This\n#' # is particularly useful for categorical axes\n#' ggplot(mpg, aes(drv, model)) +\n#'   geom_point() +\n#'   facet_grid(manufacturer ~ ., scales = \"free\", space = \"free\") +\n#'   theme(strip.text.y = element_text(angle = 0))\n#'\n#' # Margins ----------------------------------------------------------\n#' \\donttest{\n#' # Margins can be specified logically (all yes or all no) or for specific\n#' # variables as (character) variable names\n#' mg <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point()\n#' mg + facet_grid(vs + am ~ gear, margins = TRUE)\n#' mg + facet_grid(vs + am ~ gear, margins = \"am\")\n#' # when margins are made over \"vs\", since the facets for \"am\" vary\n#' # within the values of \"vs\", the marginal facet for \"vs\" is also\n#' # a margin over \"am\".\n#' mg + facet_grid(vs + am ~ gear, margins = \"vs\")\n#' }\nfacet_grid <- function(rows = NULL, cols = NULL, scales = \"fixed\",\n                       space = \"fixed\", shrink = TRUE,\n                       labeller = \"label_value\", as.table = TRUE,\n                       switch = NULL, drop = TRUE, margins = FALSE,\n                       facets = NULL) {\n  # `facets` is soft-deprecated and renamed to `rows`\n  if (!is.null(facets)) {\n    rows <- facets\n  }\n  # Should become a warning in a future release\n  if (is.logical(cols)) {\n    margins <- cols\n    cols <- NULL\n  }\n\n  scales <- match.arg(scales, c(\"fixed\", \"free_x\", \"free_y\", \"free\"))\n  free <- list(\n    x = any(scales %in% c(\"free_x\", \"free\")),\n    y = any(scales %in% c(\"free_y\", \"free\"))\n  )\n\n  space <- match.arg(space, c(\"fixed\", \"free_x\", \"free_y\", \"free\"))\n  space_free <- list(\n    x = any(space %in% c(\"free_x\", \"free\")),\n    y = any(space %in% c(\"free_y\", \"free\"))\n  )\n\n  if (!is.null(switch) && !switch %in% c(\"both\", \"x\", \"y\")) {\n    stop(\"switch must be either 'both', 'x', or 'y'\", call. = FALSE)\n  }\n\n  facets_list <- grid_as_facets_list(rows, cols)\n  n <- length(facets_list)\n  if (n > 2L) {\n    stop(\"A grid facet specification can't have more than two dimensions\", call. = FALSE)\n  }\n  if (n == 1L) {\n    rows <- quos()\n    cols <- facets_list[[1]]\n  } else {\n    rows <- facets_list[[1]]\n    cols <- facets_list[[2]]\n  }\n\n  # Check for deprecated labellers\n  labeller <- check_labeller(labeller)\n\n  ggproto(NULL, FacetGrid,\n    shrink = shrink,\n    params = list(rows = rows, cols = cols, margins = margins,\n      free = free, space_free = space_free, labeller = labeller,\n      as.table = as.table, switch = switch, drop = drop)\n  )\n}\ngrid_as_facets_list <- function(rows, cols) {\n  is_rows_vars <- is.null(rows) || rlang::is_quosures(rows)\n  if (!is_rows_vars) {\n    if (!is.null(cols)) {\n      stop(\"`rows` must be `NULL` or a `vars()` list if `cols` is a `vars()` list\", call. = FALSE)\n    }\n    return(as_facets_list(rows))\n  }\n\n  is_cols_vars <- is.null(cols) || rlang::is_quosures(cols)\n  if (!is_cols_vars) {\n    stop(\"`cols` must be `NULL` or a `vars()` specification\", call. = FALSE)\n  }\n\n  if (is.null(rows)) {\n    rows <- quos()\n  } else {\n    rows <- rlang::quos_auto_name(rows)\n  }\n  if (is.null(cols)) {\n    cols <- quos()\n  } else {\n    cols <- rlang::quos_auto_name(cols)\n  }\n\n  list(rows, cols)\n}\n\n#' @rdname ggplot2-ggproto\n#' @format NULL\n#' @usage NULL\n#' @export\nFacetGrid <- ggproto(\"FacetGrid\", Facet,\n  shrink = TRUE,\n\n  compute_layout = function(data, params) {\n    rows <- params$rows\n    cols <- params$cols\n\n    dups <- intersect(names(rows), names(cols))\n    if (length(dups) > 0) {\n      stop(\n        \"Faceting variables can only appear in row or cols, not both.\\n\",\n        \"Problems: \", paste0(dups, collapse = \"'\"),\n        call. = FALSE\n      )\n    }\n\n    base_rows <- combine_vars(data, params$plot_env, rows, drop = params$drop)\n    if (!params$as.table) {\n      rev_order <- function(x) factor(x, levels = rev(ulevels(x)))\n      base_rows[] <- lapply(base_rows, rev_order)\n    }\n    base_cols <- combine_vars(data, params$plot_env, cols, drop = params$drop)\n    base <- df.grid(base_rows, base_cols)\n\n    # Add margins\n    base <- reshape2::add_margins(base, list(names(rows), names(cols)), params$margins)\n    # Work around bug in reshape2\n    base <- unique(base)\n\n    # Create panel info dataset\n    panel <- id(base, drop = TRUE)\n    panel <- factor(panel, levels = seq_len(attr(panel, \"n\")))\n\n    rows <- if (!length(names(rows))) rep(1L, length(panel)) else id(base[names(rows)], drop = TRUE)\n    cols <- if (!length(names(cols))) rep(1L, length(panel)) else id(base[names(cols)], drop = TRUE)\n\n    panels <- new_data_frame(c(list(PANEL = panel, ROW = rows, COL = cols), base))\n    panels <- panels[order(panels$PANEL), , drop = FALSE]\n    rownames(panels) <- NULL\n\n    panels$SCALE_X <- if (params$free$x) panels$COL else 1L\n    panels$SCALE_Y <- if (params$free$y) panels$ROW else 1L\n\n    panels\n  },\n  map_data = function(data, layout, params) {\n    if (empty(data)) {\n      return(cbind(data, PANEL = integer(0)))\n    }\n\n    rows <- params$rows\n    cols <- params$cols\n    vars <- c(names(rows), names(cols))\n\n    # Compute faceting values and add margins\n    margin_vars <- list(intersect(names(rows), names(data)),\n      intersect(names(cols), names(data)))\n    data <- reshape2::add_margins(data, margin_vars, params$margins)\n\n    facet_vals <- eval_facets(c(rows, cols), data, params$plot_env)\n\n    # If any faceting variables are missing, add them in by\n    # duplicating the data\n    missing_facets <- setdiff(vars, names(facet_vals))\n    if (length(missing_facets) > 0) {\n      to_add <- unique(layout[missing_facets])\n\n      data_rep <- rep.int(1:nrow(data), nrow(to_add))\n      facet_rep <- rep(1:nrow(to_add), each = nrow(data))\n\n      data <- unrowname(data[data_rep, , drop = FALSE])\n      facet_vals <- unrowname(cbind(\n        facet_vals[data_rep, ,  drop = FALSE],\n        to_add[facet_rep, , drop = FALSE]))\n    }\n\n    # Add PANEL variable\n    if (nrow(facet_vals) == 0) {\n      # Special case of no faceting\n      data$PANEL <- NO_PANEL\n    } else {\n      facet_vals[] <- lapply(facet_vals[], as.factor)\n      facet_vals[] <- lapply(facet_vals[], addNA, ifany = TRUE)\n\n      keys <- join_keys(facet_vals, layout, by = vars)\n\n      data$PANEL <- layout$PANEL[match(keys$x, keys$y)]\n    }\n    data\n  },\n  draw_panels = function(panels, layout, x_scales, y_scales, ranges, coord, data, theme, params) {\n    if ((params$free$x || params$free$y) && !coord$is_free()) {\n      stop(snake_class(coord), \" doesn't support free scales\", call. = FALSE)\n    }\n\n    cols <- which(layout$ROW == 1)\n    rows <- which(layout$COL == 1)\n    axes <- render_axes(ranges[cols], ranges[rows], coord, theme, transpose = TRUE)\n\n    col_vars <- unique(layout[names(params$cols)])\n    row_vars <- unique(layout[names(params$rows)])\n    # Adding labels metadata, useful for labellers\n    attr(col_vars, \"type\") <- \"cols\"\n    attr(col_vars, \"facet\") <- \"grid\"\n    attr(row_vars, \"type\") <- \"rows\"\n    attr(row_vars, \"facet\") <- \"grid\"\n    strips <- render_strips(col_vars, row_vars, params$labeller, theme)\n\n    aspect_ratio <- theme$aspect.ratio\n    if (is.null(aspect_ratio) && !params$free$x && !params$free$y) {\n      aspect_ratio <- coord$aspect(ranges[[1]])\n    }\n    if (is.null(aspect_ratio)) {\n      aspect_ratio <- 1\n      respect <- FALSE\n    } else {\n      respect <- TRUE\n    }\n    ncol <- max(layout$COL)\n    nrow <- max(layout$ROW)\n    panel_table <- matrix(panels, nrow = nrow, ncol = ncol, byrow = TRUE)\n\n    # @kohske\n    # Now size of each panel is calculated using PANEL$ranges, which is given by\n    # coord_train called by train_range.\n    # So here, \"scale\" need not to be referred.\n    #\n    # In general, panel has all information for building facet.\n    if (params$space_free$x) {\n      ps <- layout$PANEL[layout$ROW == 1]\n      widths <- vapply(ps, function(i) diff(ranges[[i]]$x.range), numeric(1))\n      panel_widths <- unit(widths, \"null\")\n    } else {\n      panel_widths <- rep(unit(1, \"null\"), ncol)\n    }\n    if (params$space_free$y) {\n      ps <- layout$PANEL[layout$COL == 1]\n      heights <- vapply(ps, function(i) diff(ranges[[i]]$y.range), numeric(1))\n      panel_heights <- unit(heights, \"null\")\n    } else {\n      panel_heights <- rep(unit(1 * aspect_ratio, \"null\"), nrow)\n    }\n\n    panel_table <- gtable_matrix(\"layout\", panel_table,\n      panel_widths, panel_heights, respect = respect, clip = coord$clip, z = matrix(1, ncol = ncol, nrow = nrow))\n    panel_table$layout$name <- paste0('panel-', rep(seq_len(ncol), nrow), '-', rep(seq_len(nrow), each = ncol))\n\n    panel_table <- gtable_add_col_space(panel_table,\n      theme$panel.spacing.x %||% theme$panel.spacing)\n    panel_table <- gtable_add_row_space(panel_table,\n      theme$panel.spacing.y %||% theme$panel.spacing)\n\n    # Add axes\n    panel_table <- gtable_add_rows(panel_table, max_height(axes$x$top), 0)\n    panel_table <- gtable_add_rows(panel_table, max_height(axes$x$bottom), -1)\n    panel_table <- gtable_add_cols(panel_table, max_width(axes$y$left), 0)\n    panel_table <- gtable_add_cols(panel_table, max_width(axes$y$right), -1)\n    panel_pos_col <- panel_cols(panel_table)\n    panel_pos_rows <- panel_rows(panel_table)\n\n    panel_table <- gtable_add_grob(panel_table, axes$x$top, 1, panel_pos_col$l, clip = \"off\", name = paste0(\"axis-t-\", seq_along(axes$x$top)), z = 3)\n    panel_table <- gtable_add_grob(panel_table, axes$x$bottom, -1, panel_pos_col$l, clip = \"off\", name = paste0(\"axis-b-\", seq_along(axes$x$bottom)), z = 3)\n    panel_table <- gtable_add_grob(panel_table, axes$y$left, panel_pos_rows$t, 1, clip = \"off\", name = paste0(\"axis-l-\", seq_along(axes$y$left)), z = 3)\n    panel_table <- gtable_add_grob(panel_table, axes$y$right, panel_pos_rows$t, -1, clip = \"off\", name = paste0(\"axis-r-\", seq_along(axes$y$right)), z= 3)\n\n    # Add strips\n    switch_x <- !is.null(params$switch) && params$switch %in% c(\"both\", \"x\")\n    switch_y <- !is.null(params$switch) && params$switch %in% c(\"both\", \"y\")\n    inside_x <- (theme$strip.placement.x %||% theme$strip.placement %||% \"inside\") == \"inside\"\n    inside_y <- (theme$strip.placement.y %||% theme$strip.placement %||% \"inside\") == \"inside\"\n    strip_padding <- convertUnit(theme$strip.switch.pad.grid, \"cm\")\n    panel_pos_col <- panel_cols(panel_table)\n    if (switch_x) {\n      if (!is.null(strips$x$bottom)) {\n        if (inside_x) {\n          panel_table <- gtable_add_rows(panel_table, max_height(strips$x$bottom), -2)\n          panel_table <- gtable_add_grob(panel_table, strips$x$bottom, -2, panel_pos_col$l, clip = \"on\", name = paste0(\"strip-b-\", seq_along(strips$x$bottom)), z = 2)\n        } else {\n          panel_table <- gtable_add_rows(panel_table, strip_padding, -1)\n          panel_table <- gtable_add_rows(panel_table, max_height(strips$x$bottom), -1)\n          panel_table <- gtable_add_grob(panel_table, strips$x$bottom, -1, panel_pos_col$l, clip = \"on\", name = paste0(\"strip-b-\", seq_along(strips$x$bottom)), z = 2)\n        }\n      }\n    } else {\n      if (!is.null(strips$x$top)) {\n        if (inside_x) {\n          panel_table <- gtable_add_rows(panel_table, max_height(strips$x$top), 1)\n          panel_table <- gtable_add_grob(panel_table, strips$x$top, 2, panel_pos_col$l, clip = \"on\", name = paste0(\"strip-t-\", seq_along(strips$x$top)), z = 2)\n        } else {\n          panel_table <- gtable_add_rows(panel_table, strip_padding, 0)\n          panel_table <- gtable_add_rows(panel_table, max_height(strips$x$top), 0)\n          panel_table <- gtable_add_grob(panel_table, strips$x$top, 1, panel_pos_col$l, clip = \"on\", name = paste0(\"strip-t-\", seq_along(strips$x$top)), z = 2)\n        }\n      }\n    }\n    panel_pos_rows <- panel_rows(panel_table)\n    if (switch_y) {\n      if (!is.null(strips$y$left)) {\n        if (inside_y) {\n          panel_table <- gtable_add_cols(panel_table, max_width(strips$y$left), 1)\n          panel_table <- gtable_add_grob(panel_table, strips$y$left, panel_pos_rows$t, 2, clip = \"on\", name = paste0(\"strip-l-\", seq_along(strips$y$left)), z = 2)\n        } else {\n          panel_table <- gtable_add_cols(panel_table, strip_padding, 0)\n          panel_table <- gtable_add_cols(panel_table, max_width(strips$y$left), 0)\n          panel_table <- gtable_add_grob(panel_table, strips$y$left, panel_pos_rows$t, 1, clip = \"on\", name = paste0(\"strip-l-\", seq_along(strips$y$left)), z = 2)\n        }\n      }\n    } else {\n      if (!is.null(strips$y$right)) {\n        if (inside_y) {\n          panel_table <- gtable_add_cols(panel_table, max_width(strips$y$right), -2)\n          panel_table <- gtable_add_grob(panel_table, strips$y$right, panel_pos_rows$t, -2, clip = \"on\", name = paste0(\"strip-r-\", seq_along(strips$y$right)), z = 2)\n        } else {\n          panel_table <- gtable_add_cols(panel_table, strip_padding, -1)\n          panel_table <- gtable_add_cols(panel_table, max_width(strips$y$right), -1)\n          panel_table <- gtable_add_grob(panel_table, strips$y$right, panel_pos_rows$t, -1, clip = \"on\", name = paste0(\"strip-r-\", seq_along(strips$y$right)), z = 2)\n        }\n      }\n    }\n    panel_table\n  },\n  vars = function(self) {\n    names(c(self$params$rows, self$params$cols))\n  }\n)\n\n# Helpers -----------------------------------------------------------------\n\nulevels <- function(x) {\n  if (is.factor(x)) {\n    x <- addNA(x, TRUE)\n    factor(levels(x), levels(x), exclude = NULL)\n  } else {\n    sort(unique(x))\n  }\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/facet-grid-.r"},{"filename":"grid/R/primitives.R","content":"#  File src/library/grid/R/primitives.R\n#  Part of the R package, https://www.R-project.org\n#\n#  Copyright (C) 1995-2018 The R Core Team\n#\n#  This program is free software; you can redistribute it and/or modify\n#  it under the terms of the GNU General Public License as published by\n#  the Free Software Foundation; either version 2 of the License, or\n#  (at your option) any later version.\n#\n#  This program is distributed in the hope that it will be useful,\n#  but WITHOUT ANY WARRANTY; without even the implied warranty of\n#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#  GNU General Public License for more details.\n#\n#  A copy of the GNU General Public License is available at\n#  https://www.R-project.org/Licenses/\n\n\n# Function that creates a description of an arrow head\n# to add to a line\narrow <- function(angle=30, length=unit(0.25, \"inches\"),\n                  ends=\"last\", type=\"open\") {\n    angle <- as.numeric(angle)\n    if (!is.unit(length))\n        stop(\"'length' must be a 'unit' object\")\n    ends <- as.integer(match(ends, c(\"first\", \"last\", \"both\")))\n    type <- as.integer(match(type, c(\"open\", \"closed\")))\n    if (anyNA(ends) || anyNA(type) ||\n        length(ends) == 0 || length(type) == 0)\n        stop(\"invalid 'ends' or 'type' argument\")\n    a <- list(angle=angle, length=length,\n              ends=ends, type=type)\n    class(a) <- \"arrow\"\n    a\n}\n\nlength.arrow <- function(x) {\n    max(do.call(\"max\", lapply(x, length)),\n                length(x$length))\n}\n\nrep.arrow <- function(x, ...) {\n    maxn <- length(x)\n    newa <- list(angle=rep(x$angle, length.out=maxn),\n                 length=rep(x$length, length.out=maxn),\n                 ends=rep(x$ends, length.out=maxn),\n                 type=rep(x$type, length.out=maxn))\n    newa <- lapply(newa, rep, ...)\n    class(newa) <- \"arrow\"\n    newa\n}\n\n# Method for subsetting \"arrow\" objects\n`[.arrow` <- function(x, index, ...) {\n    if (length(index) == 0)\n        return(NULL)\n    maxn <- length(x)\n    newa <- list(angle=rep(x$angle, length.out=maxn),\n                 length=rep(x$length, length.out=maxn),\n                 ends=rep(x$ends, length.out=maxn),\n                 type=rep(x$type, length.out=maxn))\n    newa <- lapply(X = newa, FUN = \"[\", index, ...)\n    class(newa) <- \"arrow\"\n    newa\n}\n\nstr.arrow <- function(object, ...) {\n  o <- oldClass(object)\n  oldClass(object) <- setdiff(o, \"arrow\")\n  str(object)\n}\n\n######################################\n# move-to and line-to primitives\n######################################\nvalidDetails.move.to <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y))\n    stop(\"'x' and 'y' must be units\")\n  # Make sure that x and y are of length 1\n  if (length(x$x) > 1 | length(x$y) > 1)\n    stop(\"'x' and 'y' must have length 1\")\n  x\n}\n\ndrawDetails.move.to <- function(x, recording=TRUE) {\n  grid.Call.graphics(C_moveTo, x$x, x$y)\n}\n\nmoveToGrob <- function(x=0, y=0,\n                       default.units=\"npc\",\n                       name=NULL, vp=NULL) {\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  grob(x=x, y=y,\n       name=name, vp=vp, cl=\"move.to\")\n}\n\ngrid.move.to <- function(x=0, y=0,\n                         default.units=\"npc\",\n                         name=NULL, draw=TRUE, vp=NULL) {\n  mtg <- moveToGrob(x=x, y=y, default.units=default.units,\n                    name=name, vp=vp)\n  if (draw)\n    grid.draw(mtg)\n  invisible(mtg)\n}\n\nvalidDetails.line.to <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y))\n    stop(\"'x' and 'y' must be units\")\n  # Make sure that x and y are of length 1\n  if (length(x$x) > 1 | length(x$y) > 1)\n    stop(\"'x' and 'y' must have length 1\")\n  if (!(is.null(x$arrow) || inherits(x$arrow, \"arrow\")))\n      stop(\"invalid 'arrow' argument\")\n  x\n}\n\ndrawDetails.line.to <- function(x, recording=TRUE) {\n  grid.Call.graphics(C_lineTo, x$x, x$y, x$arrow)\n}\n\nlineToGrob <- function(x=1, y=1,\n                       default.units=\"npc\",\n                       arrow=NULL,\n                       name=NULL, gp=gpar(), vp=NULL) {\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  grob(x=x, y=y, arrow=arrow,\n       name=name, gp=gp, vp=vp, cl=\"line.to\")\n}\n\ngrid.line.to <- function(x=1, y=1,\n                         default.units=\"npc\",\n                         arrow=NULL,\n                         name=NULL, gp=gpar(), draw=TRUE, vp=NULL) {\n  ltg <- lineToGrob(x=x, y=y, default.units=default.units, arrow=arrow,\n                    name=name, gp=gp, vp=vp)\n  if (draw)\n    grid.draw(ltg)\n  invisible(ltg)\n}\n\n######################################\n# LINES primitive\n######################################\nvalidDetails.lines <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y))\n    stop(\"'x' and 'y' must be units\")\n  if (!(is.null(x$arrow) || inherits(x$arrow, \"arrow\")))\n      stop(\"invalid 'arrow' argument\")\n  x\n}\n\ndrawDetails.lines <- function(x, recording=TRUE) {\n    grid.Call.graphics(C_lines, x$x, x$y,\n                       list(as.integer(1L:max(length(x$x), length(x$y)))),\n                       x$arrow)\n}\n\nxDetails.lines <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[1L], \"inches\")\n}\n\nyDetails.lines <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.lines <- function(x) {\n  bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[3L], \"inches\")\n}\n\nheightDetails.lines <- function(x) {\n  bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[4L], \"inches\")\n}\n\nlinesGrob <- function(x=unit(c(0, 1), \"npc\"),\n                      y=unit(c(0, 1), \"npc\"),\n                      default.units=\"npc\",\n                      arrow=NULL,\n                      name=NULL, gp=gpar(), vp=NULL) {\n  # Allow user to specify unitless vector;  add default units\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  grob(x=x, y=y,\n       arrow=arrow, name=name, gp=gp, vp=vp, cl=\"lines\")\n}\n\ngrid.lines <- function(x=unit(c(0, 1), \"npc\"),\n                       y=unit(c(0, 1), \"npc\"),\n                       default.units=\"npc\",\n                       arrow=NULL,\n                       name=NULL, gp=gpar(), draw=TRUE, vp=NULL) {\n  lg <- linesGrob(x=x, y=y,\n                  default.units=default.units, arrow=arrow,\n                  name=name, gp=gp, vp=vp)\n  if (draw)\n    grid.draw(lg)\n  invisible(lg)\n}\n\n######################################\n# POLYLINES primitive\n######################################\n# Very similar to LINES primitive, but allows\n# multiple polylines via 'id' and 'id.lengths' args\n# as per POLYGON primitive\nvalidDetails.polyline <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y))\n      stop(\"'x' and 'y' must be units\")\n  if (!is.null(x$id) && !is.null(x$id.lengths))\n      stop(\"it is invalid to specify both 'id' and 'id.lengths'\")\n  if (length(x$x) != length(x$y))\n      stop(\"'x' and 'y' must be same length\")\n  if (!is.null(x$id) && (length(x$id) != length(x$x)))\n      stop(\"'x' and 'y' and 'id' must all be same length\")\n  if (!is.null(x$id))\n      x$id <- as.integer(x$id)\n  if (!is.null(x$id.lengths) && (sum(x$id.lengths) != length(x$x)))\n      stop(\"'x' and 'y' and 'id.lengths' must specify same overall length\")\n  if (!is.null(x$id.lengths))\n      x$id.lengths <- as.integer(x$id.lengths)\n  if (!(is.null(x$arrow) || inherits(x$arrow, \"arrow\")))\n      stop(\"invalid 'arrow' argument\")\n  x\n}\n\ndrawDetails.polyline <- function(x, recording=TRUE) {\n    if (is.null(x$id) && is.null(x$id.lengths))\n        grid.Call.graphics(C_lines, x$x, x$y,\n                           list(as.integer(seq_along(x$x))),\n                           x$arrow)\n    else {\n        if (is.null(x$id)) {\n            n <- length(x$id.lengths)\n            id <- rep(1L:n, x$id.lengths)\n        } else {\n            n <- length(unique(x$id))\n            id <- x$id\n        }\n        index <- split(as.integer(seq_along(x$x)), id)\n        grid.Call.graphics(C_lines, x$x, x$y, index, x$arrow)\n    }\n}\n\nxDetails.polyline <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[1L], \"inches\")\n}\n\nyDetails.polyline <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.polyline <- function(x) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n    if (is.null(bounds))\n        unit(0, \"inches\")\n    else\n        unit(bounds[3L], \"inches\")\n}\n\nheightDetails.polyline <- function(x) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n    if (is.null(bounds))\n        unit(0, \"inches\")\n    else\n        unit(bounds[4L], \"inches\")\n}\n\npolylineGrob <- function(x=unit(c(0, 1), \"npc\"),\n                         y=unit(c(0, 1), \"npc\"),\n                         id=NULL, id.lengths=NULL,\n                         default.units=\"npc\",\n                         arrow=NULL,\n                         name=NULL, gp=gpar(), vp=NULL) {\n    # Allow user to specify unitless vector;  add default units\n    if (!is.unit(x))\n        x <- unit(x, default.units)\n    if (!is.unit(y))\n        y <- unit(y, default.units)\n    grob(x=x, y=y, id=id, id.lengths=id.lengths,\n         arrow=arrow, name=name, gp=gp, vp=vp, cl=\"polyline\")\n}\n\ngrid.polyline <- function(...) {\n    grid.draw(polylineGrob(...))\n}\n\n######################################\n# SEGMENTS primitive\n######################################\nvalidDetails.segments <- function(x) {\n  if (!is.unit(x$x0) || !is.unit(x$x1) ||\n      !is.unit(x$y0) || !is.unit(x$y1))\n    stop(\"'x0', 'y0', 'x1', and 'y1' must be units\")\n  if (!(is.null(x$arrow) || inherits(x$arrow, \"arrow\")))\n      stop(\"invalid 'arrow' argument\")\n  x\n}\n\ndrawDetails.segments <- function(x, recording=TRUE) {\n  grid.Call.graphics(C_segments, x$x0, x$y0, x$x1, x$y1, x$arrow)\n}\n\nsegmentBounds <- function(x, theta) {\n    n <- max(length(x$x0), length(x$x1),\n             length(x$y0), length(x$y1))\n    x0 <- rep(x$x0, length.out=n)\n    x1 <- rep(x$x1, length.out=n)\n    y0 <- rep(x$y0, length.out=n)\n    y1 <- rep(x$y1, length.out=n)\n    grid.Call(C_locnBounds, unit.c(x0, x1), unit.c(y0, y1), theta)\n}\n\nxDetails.segments <- function(x, theta) {\n    bounds <- segmentBounds(x, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[1L], \"inches\")\n}\n\nyDetails.segments <- function(x, theta) {\n    bounds <- segmentBounds(x, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.segments <- function(x) {\n    bounds <- segmentBounds(x, 0)\n    if (is.null(bounds))\n        unit(0, \"inches\")\n    else\n        unit(bounds[3L], \"inches\")\n}\n\nheightDetails.segments <- function(x) {\n    bounds <- segmentBounds(x, 0)\n    if (is.null(bounds))\n        unit(0, \"inches\")\n    else\n        unit(bounds[4L], \"inches\")\n}\n\nsegmentsGrob <- function(x0=unit(0, \"npc\"), y0=unit(0, \"npc\"),\n                         x1=unit(1, \"npc\"), y1=unit(1, \"npc\"),\n                         default.units=\"npc\",\n                         arrow=NULL,\n                         name=NULL, gp=gpar(), vp=NULL) {\n  # Allow user to specify unitless vector;  add default units\n  if (!is.unit(x0))\n    x0 <- unit(x0, default.units)\n  if (!is.unit(x1))\n    x1 <- unit(x1, default.units)\n  if (!is.unit(y0))\n    y0 <- unit(y0, default.units)\n  if (!is.unit(y1))\n    y1 <- unit(y1, default.units)\n  grob(x0=x0, y0=y0, x1=x1, y1=y1, arrow=arrow, name=name, gp=gp, vp=vp,\n       cl=\"segments\")\n}\n\ngrid.segments <- function(x0=unit(0, \"npc\"), y0=unit(0, \"npc\"),\n                          x1=unit(1, \"npc\"), y1=unit(1, \"npc\"),\n                          default.units=\"npc\",\n                          arrow=NULL,\n                          name=NULL, gp=gpar(), draw=TRUE, vp=NULL) {\n  sg <- segmentsGrob(x0=x0, y0=y0, x1=x1, y1=y1,\n                     default.units=default.units,\n                     arrow=arrow,\n                     name=name, gp=gp, vp=vp)\n  if (draw)\n    grid.draw(sg)\n  invisible(sg)\n}\n\n######################################\n# ARROWS primitive\n######################################\n\n# Superceded by 'arrow' arg to line-drawing primitives\n# which contains an \"arrow\" object\nvalidDetails.arrows <- function(x) {\n  if ((!is.null(x$x) && !is.unit(x$x)) ||\n      (!is.null(x$y) && !is.unit(x$y)))\n    stop(\"'x' and 'y' must be units or NULL\")\n  if (!is.unit(x$length))\n    stop(\"'length' must be a 'unit' object\")\n  x$ends <- as.integer(match(x$ends, c(\"first\", \"last\", \"both\")))\n  x$type <- as.integer(match(x$type, c(\"open\", \"closed\")))\n  if (any(is.na(x$ends)) || any(is.na(x$type)))\n    stop(\"invalid 'ends' or 'type' argument\")\n  x\n}\n\ndrawDetails.arrows <- function(x, recording=TRUE) {\n  if (is.null(x$x)) { # y should be null too\n    if (!is.null(x$y))\n      stop(\"corrupt 'arrows' object\")\n    lineThing <- getGrob(x, childNames(x))\n    # This could be done via method dispatch, but that really\n    # seemed like overkill\n    # OTOH, this is NOT user-extensible\n    # AND the code for, e.g., \"lines\" is not located with\n    # the other grid.lines code so changes there are unlikely\n    # to propagate to here (e.g., add an id arg to grid.lines?\n    if (inherits(lineThing, \"line.to\")) {\n      x1 <- NULL\n      x2 <- lineThing$x\n      y1 <- NULL\n      y2 <- lineThing$y\n      xnm1 <- NULL\n      xn <- lineThing$x\n      ynm1 <- NULL\n      yn <- lineThing$y\n    } else if (inherits(lineThing, \"lines\")) {\n      # x or y may be recycled\n      n <- max(length(lineThing$x),\n               length(lineThing$y))\n      xx <- rep(lineThing$x, length.out=2)\n      x1 <- xx[1L]\n      x2 <- xx[2L]\n      xx <- rep(lineThing$x, length.out=n)\n      xnm1 <- xx[n - 1]\n      xn <- xx[n]\n      yy <- rep(lineThing$y, length.out=2)\n      y1 <- yy[1L]\n      y2 <- yy[2L]\n      yy <- rep(lineThing$y, length.out=n)\n      ynm1 <- yy[n - 1]\n      yn <- yy[n]\n    } else { # inherits(lineThing, \"segments\")\n      x1 <- lineThing$x0\n      x2 <- lineThing$x1\n      xnm1 <- lineThing$x0\n      xn <- lineThing$x1\n      y1 <- lineThing$y0\n      y2 <- lineThing$y1\n      ynm1 <- lineThing$y0\n      yn <- lineThing$y1\n    }\n  } else {\n    # x or y may be recycled\n    n <- max(length(x$x), length(x$y))\n    xx <- rep(x$x, length.out=2)\n    x1 <- xx[1L]\n    x2 <- xx[2L]\n    xx <- rep(x$x, length.out=n)\n    xnm1 <- xx[n - 1]\n    xn <- xx[n]\n    yy <- rep(x$y, length.out=2)\n    y1 <- yy[1L]\n    y2 <- yy[2L]\n    yy <- rep(x$y, length.out=n)\n    ynm1 <- yy[n - 1]\n    yn <- yy[n]\n    grid.Call.graphics(C_lines, x$x, x$y,\n                       list(as.integer(1L:n)),\n                       NULL)\n  }\n  grid.Call.graphics(C_arrows, x1, x2, xnm1, xn, y1, y2, ynm1, yn,\n                     x$angle, x$length, x$ends, x$type)\n}\n\nwidthDetails.arrows <- function(x) {\n  if (is.null(x$x)) { # y should be null too\n    if (!is.null(x$y))\n      stop(\"corrupt 'arrows' object\")\n    lineThing <- getGrob(x, childNames(x))\n    widthDetails(lineThing)\n  } else {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n    if (is.null(bounds))\n      unit(0, \"inches\")\n    else\n      unit(bounds[3L], \"inches\")\n  }\n}\n\nheightDetails.arrows <- function(x) {\n  if (is.null(x$x)) { # y should be null too\n    if (!is.null(x$y))\n      stop(\"corrupt 'arrows' object\")\n    lineThing <- getGrob(x, childNames(x))\n    heightDetails(lineThing)\n  } else {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n    if (is.null(bounds))\n      unit(0, \"inches\")\n    else\n      unit(bounds[4L], \"inches\")\n  }\n}\n\narrowsGrob <- function(x=c(0.25, 0.75), y=0.5,\n                       default.units=\"npc\",\n                       grob=NULL,\n                       angle=30, length=unit(0.25, \"inches\"),\n                       ends=\"last\", type=\"open\",\n                       name=NULL, gp=gpar(), vp=NULL) {\n    .Defunct(msg=\"'arrowsGrob' is defunct; use 'arrow' arguments to line drawing functions\")\n}\n\ngrid.arrows <- function(x=c(0.25, 0.75), y=0.5,\n                        default.units=\"npc\",\n                        grob=NULL,\n                        angle=30, length=unit(0.25, \"inches\"),\n                        ends=\"last\", type=\"open\",\n                        name=NULL, gp=gpar(), draw=TRUE, vp=NULL) {\n    .Defunct(msg=\"'grid.arrows' is defunct; use 'arrow' arguments to line drawing functions\")\n}\n\n######################################\n# POLYGON primitive\n######################################\n\nvalidDetails.polygon <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y))\n    stop(\"'x' and 'y' must be units\")\n  if (!is.null(x$id) && !is.null(x$id.lengths))\n    stop(\"it is invalid to specify both 'id' and 'id.lengths'\")\n  if (length(x$x) != length(x$y))\n    stop(\"'x' and 'y' must be same length\")\n  if (!is.null(x$id) && (length(x$id) != length(x$x)))\n    stop(\"'x' and 'y' and 'id' must all be same length\")\n  if (!is.null(x$id))\n    x$id <- as.integer(x$id)\n  if (!is.null(x$id.lengths) && (sum(x$id.lengths) != length(x$x)))\n    stop(\"'x' and 'y' and 'id.lengths' must specify same overall length\")\n  if (!is.null(x$id.lengths))\n    x$id.lengths <- as.integer(x$id.lengths)\n  x\n}\n\ndrawDetails.polygon <- function(x, recording=TRUE) {\n  if (is.null(x$id) && is.null(x$id.lengths))\n    grid.Call.graphics(C_polygon, x$x, x$y,\n                       list(as.integer(seq_along(x$x))))\n  else {\n    if (is.null(x$id)) {\n      n <- length(x$id.lengths)\n      id <- rep(1L:n, x$id.lengths)\n    } else {\n      n <- length(unique(x$id))\n      id <- x$id\n    }\n    index <- split(as.integer(seq_along(x$x)), id)\n    grid.Call.graphics(C_polygon, x$x, x$y, index)\n  }\n}\n\nxDetails.polygon <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[1L], \"inches\")\n}\n\nyDetails.polygon <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.polygon <- function(x) {\n  bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[3L], \"inches\")\n}\n\nheightDetails.polygon <- function(x) {\n  bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[4L], \"inches\")\n}\n\npolygonGrob <- function(x=c(0, 0.5, 1, 0.5), y=c(0.5, 1, 0.5, 0),\n                        id=NULL, id.lengths=NULL,\n                        default.units=\"npc\",\n                        name=NULL, gp=gpar(), vp=NULL) {\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  grob(x=x, y=y, id=id,\n       id.lengths=id.lengths,\n       name=name, gp=gp, vp=vp, cl=\"polygon\")\n}\n\ngrid.polygon <- function(x=c(0, 0.5, 1, 0.5), y=c(0.5, 1, 0.5, 0),\n                         id=NULL, id.lengths=NULL,\n                         default.units=\"npc\",\n                         name=NULL, gp=gpar(), draw=TRUE, vp=NULL) {\n  pg <- polygonGrob(x=x, y=y, id=id, id.lengths=id.lengths,\n                    default.units=default.units,\n                    name=name, gp=gp, vp=vp)\n  if (draw)\n    grid.draw(pg)\n  invisible(pg)\n}\n\n######################################\n# PATH primitive\n######################################\n\nvalidDetails.pathgrob <- function(x) {\n    if (!is.unit(x$x) || !is.unit(x$y))\n        stop(\"'x' and 'y' must be units\")\n    if (!is.null(x$id) && !is.null(x$id.lengths))\n        stop(\"it is invalid to specify both 'id' and 'id.lengths'\")\n    if (length(x$x) != length(x$y))\n        stop(\"'x' and 'y' must be same length\")\n    if (!is.null(x$id) && (length(x$id) != length(x$x)))\n        stop(\"'x' and 'y' and 'id' must all be same length\")\n    if (!is.null(x$id))\n        x$id <- as.integer(x$id)\n    if (!is.null(x$pathId))\n    \tx$pathId <- as.integer(x$pathId)\n    if (!is.null(x$id.lengths) && (sum(x$id.lengths) != length(x$x)))\n        stop(\"'x' and 'y' and 'id.lengths' must specify same overall length\")\n    if (!is.null(x$pathId.lengths) && (sum(x$pathId.lengths) != length(x$x)))\n    \tstop(\"'x' and 'y' and 'pathId.lengths' must specify same overall length\")\n    if (!is.null(x$id.lengths))\n        x$id.lengths <- as.integer(x$id.lengths)\n    if (!is.null(x$pathId.lengths))\n    \tx$pathId.lengths <- as.integer(x$pathId.lengths)\n    x\n}\n\nxDetails.pathgrob <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[1L], \"inches\")\n}\n\nyDetails.pathgrob <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.pathgrob <- function(x) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n    if (is.null(bounds))\n        unit(0, \"inches\")\n    else\n        unit(bounds[3L], \"inches\")\n}\n\nheightDetails.pathgrob <- function(x) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n    if (is.null(bounds))\n        unit(0, \"inches\")\n    else\n        unit(bounds[4L], \"inches\")\n}\n\n\ndrawDetails.pathgrob <- function(x, recording=TRUE) {\n    hasMultiple <- !(is.null(x$pathId) && is.null(x$pathId.lengths))\n    if (hasMultiple) {\n        if (is.null(x$pathId)) {\n            n <- length(x$pathId.lengths)\n            pathId <- rep(1L:n, x$pathId.lengths)\n        } else {\n            pathId <- x$pathId\n        }\n    }\n    if (is.null(x$id) && is.null(x$id.lengths)) {\n        if (hasMultiple) {\n            grid.Call.graphics(C_polygon, x$x, x$y,\n                               split(as.integer(seq_along(x$x)), pathId))\n        } else {\n            grid.Call.graphics(C_polygon, x$x, x$y,\n                               list(as.integer(seq_along(x$x))))\n        }\n    } else {\n        if (is.null(x$id)) {\n            n <- length(x$id.lengths)\n            id <- rep(1L:n, x$id.lengths)\n        } else {\n            n <- length(unique(x$id))\n            id <- x$id\n        }\n        if (hasMultiple) {\n            index <- mapply(split,\n                            x=split(as.integer(seq_along(x$x)), pathId), \n                            f=split(id, pathId),\n                            SIMPLIFY = FALSE, USE.NAMES = FALSE)\n        } else {\n            index <- list(split(as.integer(seq_along(x$x)), id))\n        }\n        grid.Call.graphics(C_path, x$x, x$y, index,\n                           switch(x$rule, winding=1L, evenodd=0L))\n    }\n}\n\npathGrob <- function(x, y,\n                     id=NULL, id.lengths=NULL,\n                     pathId=NULL, pathId.lengths=NULL,\n                     rule=\"winding\",\n                     default.units=\"npc\",\n                     name=NULL, gp=gpar(), vp=NULL) {\n    if (!is.unit(x))\n        x <- unit(x, default.units)\n    if (!is.unit(y))\n        y <- unit(y, default.units)\n    grob(x=x, y=y, id=id, id.lengths=id.lengths,\n         pathId=pathId, pathId.lengths=pathId.lengths,\n         rule=rule,\n         name=name, gp=gp, vp=vp, cl=\"pathgrob\")\n}\n\ngrid.path <- function(...) {\n  grid.draw(pathGrob(...))\n}\n\n######################################\n# XSPLINE primitive\n######################################\n\nvalidDetails.xspline <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y))\n    stop(\"x and y must be units\")\n  if (!is.null(x$id) && !is.null(x$id.lengths))\n    stop(\"it is invalid to specify both 'id' and 'id.lengths'\")\n  nx <- length(x$x)\n  ny <- length(x$y)\n  if (nx != ny)\n    stop(\"'x' and 'y' must be same length\")\n  if (!is.null(x$id) && (length(x$id) != nx))\n    stop(\"'x' and 'y' and 'id' must all be same length\")\n  if (!is.null(x$id))\n    x$id <- as.integer(x$id)\n  if (!is.null(x$id.lengths) && (sum(x$id.lengths) != nx))\n    stop(\"'x' and 'y' and 'id.lengths' must specify same overall length\")\n  if (!is.null(x$id.lengths))\n    x$id.lengths <- as.integer(x$id.lengths)\n  if (!(is.null(x$arrow) || inherits(x$arrow, \"arrow\")))\n      stop(\"invalid 'arrow' argument\")\n  if (any(x$shape < -1 | x$shape > 1))\n    stop(\"'shape' must be between -1 and 1\")\n  x$open <- as.logical(x$open)\n  # Force all first and last shapes to be 0 for open xsplines\n  if (x$open) {\n      x$shape <- rep(x$shape, length.out=nx)\n      # Watch out for id or id.length!\n      index <- xsplineIndex(x)\n      first <- sapply(index, min)\n      last <- sapply(index, max)\n      x$shape[c(first, last)] <- 0\n  }\n  x\n}\n\nxsplineIndex <- function(x) {\n  if (is.null(x$id) && is.null(x$id.lengths))\n      list(as.integer(seq_along(x$x)))\n  else {\n    if (is.null(x$id)) {\n      n <- length(x$id.lengths)\n      id <- rep(1L:n, x$id.lengths)\n    } else {\n      n <- length(unique(x$id))\n      id <- x$id\n    }\n    split(as.integer(seq_along(x$x)), id)\n  }\n}\n\ndrawDetails.xspline <- function(x, recording=TRUE) {\n    grid.Call.graphics(C_xspline, x$x, x$y, x$shape, x$open, x$arrow,\n                       x$repEnds, xsplineIndex(x))\n}\n\nxDetails.xspline <- function(x, theta) {\n  bounds <- grid.Call(C_xsplineBounds, x$x, x$y, x$shape, x$open, x$arrow,\n                      x$repEnds, xsplineIndex(x), theta)\n  if (is.null(bounds))\n    unit(0.5, \"npc\")\n  else\n    unit(bounds[1L], \"inches\")\n}\n\nyDetails.xspline <- function(x, theta) {\n  bounds <- grid.Call(C_xsplineBounds, x$x, x$y, x$shape, x$open, x$arrow,\n                      x$repEnds, xsplineIndex(x), theta)\n  if (is.null(bounds))\n    unit(0.5, \"npc\")\n  else\n    unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.xspline <- function(x) {\n  bounds <- grid.Call(C_xsplineBounds, x$x, x$y, x$shape, x$open, x$arrow,\n                      x$repEnds, list(as.integer(seq_along(x$x))), 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[3L], \"inches\")\n}\n\nheightDetails.xspline <- function(x) {\n  bounds <- grid.Call(C_xsplineBounds, x$x, x$y, x$shape, x$open, x$arrow,\n                      x$repEnds, list(as.integer(seq_along(x$x))), 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[4L], \"inches\")\n}\n\nxsplineGrob <- function(x=c(0, 0.5, 1, 0.5), y=c(0.5, 1, 0.5, 0),\n                        id=NULL, id.lengths=NULL,\n                        default.units=\"npc\",\n                        shape=0, open=TRUE, arrow=NULL, repEnds=TRUE,\n                        name=NULL, gp=gpar(), vp=NULL) {\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  grob(x=x, y=y, shape=shape, open=open,\n       id=id, id.lengths=id.lengths, arrow=arrow, repEnds=repEnds,\n       name=name, gp=gp, vp=vp, cl=\"xspline\")\n}\n\ngrid.xspline <- function(...) {\n  grid.draw(xsplineGrob(...))\n}\n\nxsplinePoints <- function(x) {\n    # Mimic drawGrob() to ensure x$vp and x$gp enforced\n    dlon <- grid.Call(C_setDLon, FALSE)\n    on.exit(grid.Call(C_setDLon, dlon))\n    tempgpar <- grid.Call(C_getGPar)\n    on.exit(grid.Call(C_setGPar, tempgpar), add=TRUE)\n    preDraw(x)\n    # Raw pts in dev coords\n    devPoints <- grid.Call(C_xsplinePoints,\n                           x$x, x$y, x$shape, x$open, x$arrow,\n                           x$repEnds, xsplineIndex(x), 0)\n    postDraw(x)\n    # Convert to units in inches\n    unitPoints <- lapply(devPoints,\n                         function(x) {\n                             names(x) <- c(\"x\", \"y\")\n                             x$x <- unit(x$x, \"inches\")\n                             x$y <- unit(x$y, \"inches\")\n                             x\n                         })\n    if (length(unitPoints) == 1)\n        unitPoints <- unitPoints[[1]]\n    unitPoints\n}\n\n######################################\n# BEZIER primitive\n######################################\n\n# A bezier grob that works of a (not-100% accurate) approximation\n# using X-splines\n\n# X-Spline approx to Bezier\nMs <- 1/6*rbind(c(1, 4, 1, 0),\n                c(-3, 0, 3, 0),\n                c(3, -6, 3, 0),\n                c(-1, 3, -3, 1))\nMsinv <- solve(Ms)\n# Bezier control matrix\nMb <- rbind(c(1, 0, 0, 0),\n            c(-3, 3, 0, 0),\n            c(3, -6, 3, 0),\n            c(-1, 3, -3, 1))\n\nsplinePoints <- function(xb, yb, idIndex) {\n    xs <- unlist(lapply(idIndex,\n                        function(i) {\n                            Msinv %*% Mb %*% xb[i]\n                        }))\n    ys <- unlist(lapply(idIndex,\n                        function(i) {\n                            Msinv %*% Mb %*% yb[i]\n                        }))\n    list(x=xs, y=ys)\n}\n\nsplinegrob <- function(x) {\n    xx <- convertX(x$x, \"inches\", valueOnly=TRUE)\n    yy <- convertY(x$y, \"inches\", valueOnly=TRUE)\n    sp <- splinePoints(xx, yy, xsplineIndex(x))\n    xsplineGrob(sp$x, sp$y, default.units=\"inches\",\n                id=x$id, id.lengths=x$id.lengths,\n                shape=1, repEnds=FALSE,\n                arrow=x$arrow, name=x$name,\n                gp=x$gp, vp=x$vp)\n}\n\nvalidDetails.beziergrob <- function(x) {\n    if (!is.unit(x$x) ||\n        !is.unit(x$y))\n        stop(\"x and y must be units\")\n    if (!is.null(x$id) && !is.null(x$id.lengths))\n        stop(\"it is invalid to specify both 'id' and 'id.lengths'\")\n    nx <- length(x$x)\n    ny <- length(x$y)\n    if (nx != ny)\n        stop(\"'x' and 'y' must be same length\")\n    if (!is.null(x$id) && (length(x$id) != nx))\n        stop(\"'x' and 'y' and 'id' must all be same length\")\n    if (!is.null(x$id))\n        x$id <- as.integer(x$id)\n    if (!is.null(x$id.lengths) && (sum(x$id.lengths) != nx))\n        stop(\"'x' and 'y' and 'id.lengths' must specify same overall length\")\n    if (!is.null(x$id.lengths))\n        x$id.lengths <- as.integer(x$id.lengths)\n    if (is.null(x$id) && is.null(x$id.lengths)) {\n        if (length(x$x) != 4L)\n            stop(\"must have exactly 4 control points\")\n    } else {\n        if (is.null(x$id)) {\n            n <- length(x$id.lengths)\n            id <- rep(1L:n, x$id.lengths)\n        } else {\n            id <- x$id\n        }\n        xper <- split(x$x, id)\n        if (any(lengths(xper) != 4L))\n            stop(\"must have exactly 4 control points per Bezier curve\")\n    }\n    if (!(is.null(x$arrow) || inherits(x$arrow, \"arrow\")))\n        stop(\"invalid 'arrow' argument\")\n    x\n}\n\nmakeContent.beziergrob <- function(x) {\n    splinegrob(x)\n}\n\nxDetails.beziergrob <- function(x, theta) {\n    xDetails(splinegrob(x), theta)\n}\n\nyDetails.beziergrob <- function(x, theta) {\n    yDetails(splinegrob(x), theta)\n}\n\nwidthDetails.beziergrob <- function(x) {\n    widthDetails(splinegrob(x))\n}\n\nheightDetails.beziergrob <- function(x) {\n    heightDetails(splinegrob(x))\n}\n\nbezierGrob <- function(x=c(0, 0.5, 1, 0.5), y=c(0.5, 1, 0.5, 0),\n                       id=NULL, id.lengths=NULL,\n                       default.units=\"npc\", arrow=NULL,\n                       name=NULL, gp=gpar(), vp=NULL) {\n    if (!is.unit(x))\n        x <- unit(x, default.units)\n    if (!is.unit(y))\n        y <- unit(y, default.units)\n    grob(x=x, y=y,\n         id=id, id.lengths=id.lengths, arrow=arrow,\n         name=name, gp=gp, vp=vp, cl=\"beziergrob\")\n}\n\ngrid.bezier <- function(...) {\n    grid.draw(bezierGrob(...))\n}\n\nbezierPoints <- function(x) {\n    sg <- splinegrob(x)\n    # splinegrob() does not make use of x$vp\n    sg$vp <- x$vp\n    xsplinePoints(sg)\n}\n\n\n######################################\n# CIRCLE primitive\n######################################\n\nvalidDetails.circle <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y) ||\n      !is.unit(x$r))\n    stop(\"'x', 'y', and 'r' must be units\")\n  x\n}\n\ndrawDetails.circle <- function(x, recording=TRUE) {\n  grid.Call.graphics(C_circle, x$x, x$y, x$r)\n}\n\nxDetails.circle <- function(x, theta) {\n  bounds <- grid.Call(C_circleBounds, x$x, x$y, x$r, theta)\n  if (is.null(bounds))\n    unit(0.5, \"npc\")\n  else\n    unit(bounds[1L], \"inches\")\n}\n\nyDetails.circle <- function(x, theta) {\n  bounds <- grid.Call(C_circleBounds, x$x, x$y, x$r, theta)\n  if (is.null(bounds))\n    unit(0.5, \"npc\")\n  else\n    unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.circle <- function(x) {\n  bounds <- grid.Call(C_circleBounds, x$x, x$y, x$r, 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[3L], \"inches\")\n}\n\nheightDetails.circle <- function(x) {\n  bounds <- grid.Call(C_circleBounds, x$x, x$y, x$r, 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[4L], \"inches\")\n}\n\ncircleGrob <- function(x=0.5, y=0.5, r=0.5,\n                       default.units=\"npc\",\n                       name=NULL, gp=gpar(), vp=NULL) {\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  if (!is.unit(r))\n    r <- unit(r, default.units)\n  grob(x=x, y=y, r=r, name=name, gp=gp, vp=vp, cl=\"circle\")\n}\n\ngrid.circle <- function(x=0.5, y=0.5, r=0.5,\n                        default.units=\"npc\",\n                        name=NULL, gp=gpar(), draw=TRUE, vp=NULL) {\n  cg <- circleGrob(x=x, y=y, r=r,\n                   default.units=default.units,\n                   name=name, gp=gp, vp=vp)\n  if (draw)\n    grid.draw(cg)\n  invisible(cg)\n}\n\n######################################\n# RECT primitive\n######################################\nvalidDetails.rect <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y) ||\n      !is.unit(x$width) ||\n      !is.unit(x$height))\n    stop(\"'x', 'y', 'width', and 'height' must be units\")\n  valid.just(x$just)\n  if (!is.null(x$hjust))\n    x$hjust <- as.numeric(x$hjust)\n  if (!is.null(x$vjust))\n    x$vjust <- as.numeric(x$vjust)\n  x\n}\n\ndrawDetails.rect <- function(x, recording=TRUE) {\n  grid.Call.graphics(C_rect, x$x, x$y, x$width, x$height,\n                     resolveHJust(x$just, x$hjust),\n                     resolveVJust(x$just, x$vjust))\n}\n\nxDetails.rect <- function(x, theta) {\n  bounds <- grid.Call(C_rectBounds, x$x, x$y, x$width, x$height,\n                      resolveHJust(x$just, x$hjust),\n                      resolveVJust(x$just, x$vjust),\n                      theta)\n  if (is.null(bounds))\n    unit(0.5, \"npc\")\n  else\n    unit(bounds[1L], \"inches\")\n}\n\nyDetails.rect <- function(x, theta) {\n  bounds <- grid.Call(C_rectBounds, x$x, x$y, x$width, x$height,\n                      resolveHJust(x$just, x$hjust),\n                      resolveVJust(x$just, x$vjust),\n                      theta)\n  if (is.null(bounds))\n    unit(0.5, \"npc\")\n  else\n    unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.rect <- function(x) {\n  bounds <- grid.Call(C_rectBounds, x$x, x$y, x$width, x$height,\n                      resolveHJust(x$just, x$hjust),\n                      resolveVJust(x$just, x$vjust),\n                      0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[3L], \"inches\")\n}\n\nheightDetails.rect <- function(x) {\n  bounds <- grid.Call(C_rectBounds, x$x, x$y, x$width, x$height,\n                      resolveHJust(x$just, x$hjust),\n                      resolveVJust(x$just, x$vjust),\n                      0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[4L], \"inches\")\n}\n\nrectGrob <- function(x=unit(0.5, \"npc\"), y=unit(0.5, \"npc\"),\n                     width=unit(1, \"npc\"), height=unit(1, \"npc\"),\n                     just=\"centre\", hjust=NULL, vjust=NULL,\n                     default.units=\"npc\",\n                     name=NULL, gp=gpar(), vp=NULL) {\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  if (!is.unit(width))\n    width <- unit(width, default.units)\n  if (!is.unit(height))\n    height <- unit(height, default.units)\n  grob(x=x, y=y, width=width, height=height, just=just,\n       hjust=hjust, vjust=vjust,\n       name=name, gp=gp, vp=vp, cl=\"rect\")\n}\n\ngrid.rect <- function(x=unit(0.5, \"npc\"), y=unit(0.5, \"npc\"),\n                      width=unit(1, \"npc\"), height=unit(1, \"npc\"),\n                      just=\"centre\", hjust=NULL, vjust=NULL,\n                      default.units=\"npc\",\n                      name=NULL, gp=gpar(), draw=TRUE, vp=NULL) {\n  rg <- rectGrob(x=x, y=y, width=width, height=height, just=just,\n                 hjust=hjust, vjust=vjust,\n                 default.units=default.units,\n                 name=name, gp=gp, vp=vp)\n  if (draw)\n    grid.draw(rg)\n  invisible(rg)\n}\n\n######################################\n# RASTER primitive\n######################################\n\nvalidDetails.rastergrob <- function(x) {\n    if (!(is.raster(x$raster) || inherits(x$raster, \"nativeRaster\")))\n        x$raster <- as.raster(x$raster)\n    if (!is.unit(x$x) ||\n        !is.unit(x$y) ||\n        (!is.null(x$width) && !is.unit(x$width)) ||\n        (!is.null(x$height) && !is.unit(x$height)))\n        stop(\"'x', 'y', 'width', and 'height' must be units\")\n    valid.just(x$just)\n    if (!is.null(x$hjust))\n        x$hjust <- as.numeric(x$hjust)\n    if (!is.null(x$vjust))\n        x$vjust <- as.numeric(x$vjust)\n    x\n}\n\nresolveRasterSize <- function(x) {\n    if (is.null(x$width)) {\n        if (is.null(x$height)) {\n            rasterRatio <- dim(x$raster)[1]/dim(x$raster)[2]\n            vpWidth <- convertWidth(unit(1, \"npc\"), \"inches\", valueOnly=TRUE)\n            vpHeight <- convertHeight(unit(1, \"npc\"), \"inches\", valueOnly=TRUE)\n            vpRatio <- vpHeight/vpWidth\n            if (rasterRatio > vpRatio) {\n                x$height <- unit(vpHeight, \"inches\")\n                x$width <- unit(vpHeight*dim(x$raster)[2]/dim(x$raster)[1],\n                                \"inches\")\n            } else {\n                x$width <- unit(vpWidth, \"inches\")\n                x$height <- unit(vpWidth*dim(x$raster)[1]/dim(x$raster)[2],\n                                 \"inches\")\n            }\n        } else {\n            h <- convertHeight(x$height, \"inches\", valueOnly=TRUE)\n            x$width <- unit(h*dim(x$raster)[2]/dim(x$raster)[1],\n                            \"inches\")\n        }\n    } else {\n        if (is.null(x$height)) {\n            w <- convertWidth(x$width, \"inches\", valueOnly=TRUE)\n            x$height <- unit(w*dim(x$raster)[1]/dim(x$raster)[2],\n                             \"inches\")\n        }\n    }\n    x\n}\n\ndrawDetails.rastergrob <- function(x, recording=TRUE) {\n    # At this point resolve NULL width/height based on\n    # image dimensions\n    x <- resolveRasterSize(x)\n    if (is.null(x$width)) {\n        if (is.null(x$height)) {\n            rasterRatio <- dim(x$raster)[1]/dim(x$raster)[2]\n            vpWidth <- convertWidth(unit(1, \"npc\"), \"inches\", valueOnly=TRUE)\n            vpHeight <- convertHeight(unit(1, \"npc\"), \"inches\", valueOnly=TRUE)\n            vpRatio <- vpHeight/vpWidth\n            if (rasterRatio > vpRatio) {\n                x$height <- unit(vpHeight, \"inches\")\n                x$width <- unit(vpHeight*dim(x$raster)[2]/dim(x$raster)[1],\n                                \"inches\")\n            } else {\n                x$width <- unit(vpWidth, \"inches\")\n                x$height <- unit(vpWidth*dim(x$raster)[1]/dim(x$raster)[2],\n                                 \"inches\")\n            }\n        } else {\n            h <- convertHeight(x$height, \"inches\", valueOnly=TRUE)\n            x$width <- unit(h*dim(x$raster)[2]/dim(x$raster)[1],\n                            \"inches\")\n        }\n    } else {\n        if (is.null(x$height)) {\n            w <- convertWidth(x$width, \"inches\", valueOnly=TRUE)\n            x$height <- unit(w*dim(x$raster)[1]/dim(x$raster)[2],\n                             \"inches\")\n        }\n    }\n    grid.Call.graphics(C_raster, x$raster,\n                       x$x, x$y, x$width, x$height,\n                       resolveHJust(x$just, x$hjust),\n                       resolveVJust(x$just, x$vjust),\n                       x$interpolate)\n}\n\nxDetails.rastergrob <- function(x, theta) {\n    x <- resolveRasterSize(x)\n    bounds <- grid.Call(C_rectBounds, x$x, x$y, x$width, x$height,\n                        resolveHJust(x$just, x$hjust),\n                        resolveVJust(x$just, x$vjust),\n                        theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[1L], \"inches\")\n}\n\nyDetails.rastergrob <- function(x, theta) {\n    x <- resolveRasterSize(x)\n    bounds <- grid.Call(C_rectBounds, x$x, x$y, x$width, x$height,\n                        resolveHJust(x$just, x$hjust),\n                        resolveVJust(x$just, x$vjust),\n                        theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.rastergrob <- function(x) {\n    x <- resolveRasterSize(x)\n    bounds <- grid.Call(C_rectBounds, x$x, x$y, x$width, x$height,\n                        resolveHJust(x$just, x$hjust),\n                        resolveVJust(x$just, x$vjust),\n                        0)\n    if (is.null(bounds))\n        unit(0, \"inches\")\n    else\n        unit(bounds[3L], \"inches\")\n}\n\nheightDetails.rastergrob <- function(x) {\n    x <- resolveRasterSize(x)\n    bounds <- grid.Call(C_rectBounds, x$x, x$y, x$width, x$height,\n                        resolveHJust(x$just, x$hjust),\n                        resolveVJust(x$just, x$vjust),\n                        0)\n    if (is.null(bounds))\n        unit(0, \"inches\")\n    else\n        unit(bounds[4L], \"inches\")\n}\n\nrasterGrob <- function(image,\n                       x=unit(0.5, \"npc\"), y=unit(0.5, \"npc\"),\n                       width=NULL, height=NULL,\n                       just=\"centre\", hjust=NULL, vjust=NULL,\n                       interpolate=TRUE,\n                       default.units=\"npc\",\n                       name=NULL, gp=gpar(), vp=NULL) {\n\n    if (inherits(image, \"nativeRaster\"))\n        raster <- image\n    else\n        raster <- as.raster(image)\n    if (!is.unit(x))\n        x <- unit(x, default.units)\n    if (!is.unit(y))\n        y <- unit(y, default.units)\n    if (!is.null(width) && !is.unit(width))\n        width <- unit(width, default.units)\n    if (!is.null(height) && !is.unit(height))\n        height <- unit(height, default.units)\n    grob(raster=raster, x=x, y=y, width=width, height=height, just=just,\n         hjust=hjust, vjust=vjust, interpolate=interpolate,\n         name=name, gp=gp, vp=vp, cl=\"rastergrob\")\n}\n\ngrid.raster <- function(image,\n                        x=unit(0.5, \"npc\"), y=unit(0.5, \"npc\"),\n                        width=NULL, height=NULL,\n                        just=\"centre\", hjust=NULL, vjust=NULL,\n                        interpolate=TRUE,\n                        default.units=\"npc\",\n                        name=NULL, gp=gpar(), vp=NULL) {\n    rg <- rasterGrob(image,\n                     x=x, y=y, width=width, height=height, just=just,\n                     hjust=hjust, vjust=vjust, interpolate=interpolate,\n                     default.units=default.units,\n                     name=name, gp=gp, vp=vp)\n    grid.draw(rg)\n}\n\n######################################\n# TEXT primitive\n######################################\nvalidDetails.text <- function(x) {\n  if (!is.language(x$label))\n    x$label <- as.character(x$label)\n  if (!is.unit(x$x) ||\n      !is.unit(x$y))\n    stop(\"'x' and 'y' must be units\")\n  x$rot <- as.numeric(x$rot)\n  if (!all(is.finite(x$rot)) || length(x$rot) == 0)\n    stop(\"invalid 'rot' value\")\n  valid.just(x$just)\n  if (!is.null(x$hjust))\n    x$hjust <- as.numeric(x$hjust)\n  if (!is.null(x$vjust))\n    x$vjust <- as.numeric(x$vjust)\n  x$check.overlap <- as.logical(x$check.overlap)\n  x\n}\n\ndrawDetails.text <- function(x, recording=TRUE) {\n  grid.Call.graphics(C_text, as.graphicsAnnot(x$label),\n                     x$x, x$y,\n                     resolveHJust(x$just, x$hjust),\n                     resolveVJust(x$just, x$vjust),\n                     x$rot, x$check.overlap)\n}\n\nxDetails.text <- function(x, theta) {\n  bounds <- grid.Call(C_textBounds, as.graphicsAnnot(x$label),\n                      x$x, x$y,\n                      resolveHJust(x$just, x$hjust),\n                      resolveVJust(x$just, x$vjust),\n                      x$rot, theta)\n  if (is.null(bounds))\n    unit(0.5, \"npc\")\n  else\n    unit(bounds[1L], \"inches\")\n}\n\nyDetails.text <- function(x, theta) {\n  bounds <- grid.Call(C_textBounds, as.graphicsAnnot(x$label),\n                      x$x, x$y,\n                      resolveHJust(x$just, x$hjust),\n                      resolveVJust(x$just, x$vjust),\n                      x$rot, theta)\n  if (is.null(bounds))\n    unit(0.5, \"npc\")\n  else\n    unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.text <- function(x) {\n  bounds <- grid.Call(C_textBounds, as.graphicsAnnot(x$label),\n                      x$x, x$y,\n                      resolveHJust(x$just, x$hjust),\n                      resolveVJust(x$just, x$vjust),\n                      x$rot, 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[3L], \"inches\")\n}\n\nheightDetails.text <- function(x) {\n  bounds <- grid.Call(C_textBounds, as.graphicsAnnot(x$label),\n                      x$x, x$y,\n                      resolveHJust(x$just, x$hjust),\n                      resolveVJust(x$just, x$vjust),\n                      x$rot, 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[4L], \"inches\")\n}\n\nascentDetails.text <- function(x) {\n    if (length(x$label) == 1) {\n        metrics <- grid.Call(C_stringMetric, as.graphicsAnnot(x$label))\n        unit(metrics[[1]], \"inches\")\n    } else {\n        heightDetails(x)\n    }\n}\n\ndescentDetails.text <- function(x) {\n    if (length(x$label) == 1) {\n        metrics <- grid.Call(C_stringMetric, as.graphicsAnnot(x$label))\n        unit(metrics[[2]], \"inches\")\n    } else {\n        unit(0, \"inches\")\n    }\n}\n\ntextGrob <- function(label, x=unit(0.5, \"npc\"), y=unit(0.5, \"npc\"),\n                     just=\"centre\", hjust=NULL, vjust=NULL,\n                     rot=0, check.overlap=FALSE,\n                     default.units=\"npc\",\n                     name=NULL, gp=gpar(), vp=NULL) {\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  grob(label=label, x=x, y=y, just=just, hjust=hjust, vjust=vjust,\n       rot=rot, check.overlap=check.overlap,\n       name=name, gp=gp, vp=vp, cl=\"text\")\n}\n\ngrid.text <- function(label, x=unit(0.5, \"npc\"), y=unit(0.5, \"npc\"),\n                      just=\"centre\", hjust=NULL, vjust=NULL,\n                      rot=0, check.overlap=FALSE,\n                      default.units=\"npc\",\n                      name=NULL, gp=gpar(), draw=TRUE, vp=NULL) {\n  tg <- textGrob(label=label, x=x, y=y, just=just,\n                 hjust=hjust, vjust=vjust, rot=rot,\n                 check.overlap=check.overlap,\n                 default.units=default.units,\n                 name=name, gp=gp, vp=vp)\n  if (draw)\n    grid.draw(tg)\n  invisible(tg)\n}\n\n######################################\n# POINTS primitive\n######################################\nvalid.pch <- function(pch) {\n  if (length(pch) == 0L)\n    stop(\"zero-length 'pch'\")\n  if (is.null(pch))\n    pch <- 1L\n  else if (!is.character(pch))\n    pch <- as.integer(pch)\n  pch\n}\n\nvalidDetails.points <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y) ||\n      !is.unit(x$size))\n    stop(\"'x', 'y' and 'size' must be units\")\n  if (length(x$x) != length(x$y))\n    stop(\"'x' and 'y' must be 'unit' objects and have the same length\")\n  x$pch <- valid.pch(x$pch)\n  x\n}\n\ndrawDetails.points <- function(x, recording=TRUE) {\n  grid.Call.graphics(C_points, x$x, x$y, x$pch, x$size)\n}\n\n# FIXME:  does not take into account the size of the symbols\nxDetails.points <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[1L], \"inches\")\n}\n\nyDetails.points <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[2L], \"inches\")\n}\n\nwidthDetails.points <- function(x) {\n  bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[3L], \"inches\")\n}\n\nheightDetails.points <- function(x) {\n  bounds <- grid.Call(C_locnBounds, x$x, x$y, 0)\n  if (is.null(bounds))\n    unit(0, \"inches\")\n  else\n    unit(bounds[4L], \"inches\")\n}\n\npointsGrob <- function(x=stats::runif(10),\n                       y=stats::runif(10),\n                       pch=1, size=unit(1, \"char\"),\n                       default.units=\"native\",\n                       name=NULL, gp=gpar(), vp=NULL) {\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  grob(x=x, y=y, pch=pch, size=size,\n       name=name, gp=gp, vp=vp, cl=\"points\")\n}\n\ngrid.points <- function(x=stats::runif(10),\n                        y=stats::runif(10),\n                        pch=1, size=unit(1, \"char\"),\n                        default.units=\"native\",\n                        name=NULL, gp=gpar(),\n                        draw=TRUE, vp=NULL) {\n  pg <- pointsGrob(x=x, y=y, pch=pch, size=size,\n                   default.units=default.units,\n                   name=name, gp=gp, vp=vp)\n  if (draw)\n    grid.draw(pg)\n  invisible(pg)\n}\n\n######################################\n# CLIP primitive\n######################################\nvalidDetails.clip <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y) ||\n      !is.unit(x$width) ||\n      !is.unit(x$height))\n    stop(\"'x', 'y', 'width', and 'height' must be units\")\n  if (length(x$x) > 1 || length(x$y) > 1 ||\n      length(x$width) > 1 || length(x$height) > 1)\n    stop(\"'x', 'y', 'width', and 'height' must all be units of length 1\")\n  valid.just(x$just)\n  if (!is.null(x$hjust))\n    x$hjust <- as.numeric(x$hjust)\n  if (!is.null(x$vjust))\n    x$vjust <- as.numeric(x$vjust)\n  x\n}\n\ndrawDetails.clip <- function(x, recording=TRUE) {\n  grid.Call.graphics(C_clip, x$x, x$y, x$width, x$height,\n                     resolveHJust(x$just, x$hjust),\n                     resolveVJust(x$just, x$vjust))\n}\n\nclipGrob <- function(x=unit(0.5, \"npc\"), y=unit(0.5, \"npc\"),\n                     width=unit(1, \"npc\"), height=unit(1, \"npc\"),\n                     just=\"centre\", hjust=NULL, vjust=NULL,\n                     default.units=\"npc\",\n                     name=NULL, vp=NULL) {\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  if (!is.unit(width))\n    width <- unit(width, default.units)\n  if (!is.unit(height))\n    height <- unit(height, default.units)\n  grob(x=x, y=y, width=width, height=height, just=just,\n       hjust=hjust, vjust=vjust,\n       name=name, vp=vp, cl=\"clip\")\n}\n\ngrid.clip <- function(...) {\n  grid.draw(clipGrob(...))\n}\n\n\n######################################\n# NULL primitive\n######################################\n\nvalidDetails.null <- function(x) {\n  if (!is.unit(x$x) ||\n      !is.unit(x$y))\n    stop(\"'x' and 'y' must be units\")\n  if (length(x$x) > 1 || length(x$y) > 1)\n    stop(\"'x' and 'y' must all be units of length 1\")\n  x\n}\n\ndrawDetails.null <- function(x, recording=TRUE) {\n    # Deliberate null op.\n    # NOTE: nothing will go on the graphics engine DL\n    # This is ok I think because these grobs are only\n    # useful on the grid DL (for other grid code to query\n    # their size or location).\n}\n\nxDetails.null <- function(x, theta) {\n    bounds <- grid.Call(C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[1L], \"inches\")\n}\n\nyDetails.null <- function(x, theta) {\n    bounds <- grid.Call( C_locnBounds, x$x, x$y, theta)\n    if (is.null(bounds))\n        unit(0.5, \"npc\")\n    else\n        unit(bounds[2L], \"inches\")\n}\n\n# Deliberately ZERO\nwidthDetails.null <- function(x) {\n    unit(0, \"inches\")\n}\n\nheightDetails.null <- function(x) {\n    unit(0, \"inches\")\n}\n\n# A grob with GUARANTEED zero-width\n# also GUARANTEED NOT to draw anything\nnullGrob <- function(x=unit(0.5, \"npc\"), y=unit(0.5, \"npc\"),\n                     default.units=\"npc\",\n                     name=NULL, vp=NULL) {\n    if (!is.unit(x))\n        x <- unit(x, default.units)\n    if (!is.unit(y))\n        y <- unit(y, default.units)\n    grob(x=x, y=y, name=name, vp=vp, cl=\"null\")\n}\n\n# Convenient way to get nullGrob on the grid display list\ngrid.null <- function(...) {\n    grid.draw(nullGrob(...))\n}\n\n\n\n\n\n\n\n\n\n","normpath":"/Users/thomas/Dropbox/GitHub/grid/R/primitives.R"},{"filename":"grid/R/size.R","content":"#  File src/library/grid/R/size.R\n#  Part of the R package, https://www.R-project.org\n#\n#  Copyright (C) 1995-2012 The R Core Team\n#\n#  This program is free software; you can redistribute it and/or modify\n#  it under the terms of the GNU General Public License as published by\n#  the Free Software Foundation; either version 2 of the License, or\n#  (at your option) any later version.\n#\n#  This program is distributed in the hope that it will be useful,\n#  but WITHOUT ANY WARRANTY; without even the implied warranty of\n#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#  GNU General Public License for more details.\n#\n#  A copy of the GNU General Public License is available at\n#  https://www.R-project.org/Licenses/\n\n# These functions are used to evaluate \"grobwidth\" and\n# \"grobheight\" units.\n# They are usually called from within the C code\n# (specifically, from within unit.c)\n# It should be noted that they only give the width/height\n# of the grob in the current drawing context\n# (i.e., evaluating the width/height in another context\n#  will not necessarily give the same result)\n\n# The C code to evaluate \"grobwidth\" and \"grobheight\" calls\n# the preDrawDetails and postDrawDetails generics before and\n# after the call to width/height() to allow for complex grobs which\n# construct their own viewports.\n\n#########\n# X locations on edge\n#########\n\nxDetails <- function(x, theta) {\n  UseMethod(\"xDetails\")\n}\n\nxDetails.default <- function(x, theta) {\n  unit(0.5, \"npc\")\n}\n\n#########\n# Y locations on edge\n#########\n\nyDetails <- function(x, theta) {\n  UseMethod(\"yDetails\")\n}\n\nyDetails.default <- function(x, theta) {\n  unit(0.5, \"npc\")\n}\n\n#########\n# WIDTHS\n#########\n\n# We are doing this in R code to provide generics like widthDetails\n# so that users can customise the behaviour for complex grobs by\n# writing their own (R code!) methods\nwidth <- function(x) {\n  widthDetails(x)\n}\n\nwidthDetails <- function(x) {\n  UseMethod(\"widthDetails\", x)\n}\n\nwidthDetails.default <- function(x) {\n  unit(1, \"null\")\n}\n\n#########\n# HEIGHTS\n#########\nheight <- function(x) {\n  heightDetails(x)\n}\n\nheightDetails <- function(x) {\n  UseMethod(\"heightDetails\", x)\n}\n\nheightDetails.default <- function(x) {\n  unit(1, \"null\")\n}\n\nascentDetails <- function(x) {\n    UseMethod(\"ascentDetails\", x)\n}\n\nascentDetails.default <- heightDetails.default\n\nascentDetails.grob <- function(x) {\n    heightDetails(x)\n}\n\ndescentDetails <- function(x) {\n    UseMethod(\"descentDetails\", x)\n}\n\ndescentDetails.default <- function(x) {\n    unit(0, \"inches\")\n}\n\n#########\n# Some functions that might be useful for determining the sizes\n# of your grobs\n#########\n\n# Dimensions which depend on the parent context EITHER don't make\n# sense (e.g., no good to have the parent width depend on the child's\n# width unit(1, \"grobwidth\", <child>), which depends on the parent's\n# width unit(.1, \"npc\"), ...) OR are slightly ambiguous\n# (e.g., gf <- grid.frame(); grid.pack(gf, grid.rect(width=unit(.1, \"npc\")))\n# makes the area allocated to the rectangle .1 of the frame area, but\n# then the rectangle only occupies .1 of _that_ allocated area;  my head\n# hurts !).  The first sort will actually lead to infinite loops so\n# watch out for that;  the second sort I just don't want to have to deal with.\n#\n# On the other hand, dimensions which do not depend on the parent context\n# are much easier to deal with (e.g., \"inches\", \"cm\", \"lines\", ...)\n#\n# So this function takes a unit and returns absolute values\n# untouched and replaces other values with unit(1, \"null\")\n\nabsolute.size <- function(unit) {\n  absolute.units(unit)\n}\n","normpath":"/Users/thomas/Dropbox/GitHub/grid/R/size.R"},{"filename":"ggplot2/R/labeller.r","content":"#' Useful labeller functions\n#'\n#' Labeller functions are in charge of formatting the strip labels of\n#' facet grids and wraps. Most of them accept a `multi_line`\n#' argument to control whether multiple factors (defined in formulae\n#' such as `~first + second`) should be displayed on a single\n#' line separated with commas, or each on their own line.\n#'\n#' `label_value()` only displays the value of a factor while\n#' `label_both()` displays both the variable name and the factor\n#' value. `label_context()` is context-dependent and uses\n#' `label_value()` for single factor faceting and\n#' `label_both()` when multiple factors are\n#' involved. `label_wrap_gen()` uses [base::strwrap()]\n#' for line wrapping.\n#'\n#' `label_parsed()` interprets the labels as plotmath\n#' expressions. [label_bquote()] offers a more flexible\n#' way of constructing plotmath expressions. See examples and\n#' [bquote()] for details on the syntax of the\n#' argument.\n#'\n#' @section Writing New Labeller Functions:\n#'\n#'   Note that an easy way to write a labeller function is to\n#'   transform a function operating on character vectors with\n#'   [as_labeller()].\n#'\n#'   A labeller function accepts a data frame of labels (character\n#'   vectors) containing one column for each factor. Multiple factors\n#'   occur with formula of the type `~first + second`.\n#'\n#'   The return value must be a rectangular list where each 'row'\n#'   characterises a single facet. The list elements can be either\n#'   character vectors or lists of plotmath expressions. When multiple\n#'   elements are returned, they get displayed on their own new lines\n#'   (i.e., each facet gets a multi-line strip of labels).\n#'\n#'   To illustrate, let's say your labeller returns a list of two\n#'   character vectors of length 3. This is a rectangular list because\n#'   all elements have the same length. The first facet will get the\n#'   first elements of each vector and display each of them on their\n#'   own line. Then the second facet gets the second elements of each\n#'   vector, and so on.\n#'\n#'   If it's useful to your labeller, you can retrieve the `type`\n#'   attribute of the incoming data frame of labels. The value of this\n#'   attribute reflects the kind of strips your labeller is dealing\n#'   with: `\"cols\"` for columns and `\"rows\"` for rows. Note\n#'   that [facet_wrap()] has columns by default and rows\n#'   when the strips are switched with the `switch` option. The\n#'   `facet` attribute also provides metadata on the labels. It\n#'   takes the values `\"grid\"` or `\"wrap\"`.\n#'\n#'   For compatibility with [labeller()], each labeller\n#'   function must have the `labeller` S3 class.\n#'\n#' @param labels Data frame of labels. Usually contains only one\n#'   element, but faceting over multiple factors entails multiple\n#'   label variables.\n#' @param multi_line Whether to display the labels of multiple factors\n#'   on separate lines.\n#' @param sep String separating variables and values.\n#' @param width Maximum number of characters before wrapping the strip.\n#' @family facet\n#' @seealso [labeller()], [as_labeller()],\n#'   [label_bquote()]\n#' @examples\n#' mtcars$cyl2 <- factor(mtcars$cyl, labels = c(\"alpha\", \"beta\", \"gamma\"))\n#' p <- ggplot(mtcars, aes(wt, mpg)) + geom_point()\n#'\n#' # The default is label_value\n#' p + facet_grid(. ~ cyl, labeller = label_value)\n#'\n#' \\donttest{\n#' # Displaying both the values and the variables\n#' p + facet_grid(. ~ cyl, labeller = label_both)\n#'\n#' # Displaying only the values or both the values and variables\n#' # depending on whether multiple factors are facetted over\n#' p + facet_grid(am ~ vs+cyl, labeller = label_context)\n#'\n#' # Interpreting the labels as plotmath expressions\n#' p + facet_grid(. ~ cyl2)\n#' p + facet_grid(. ~ cyl2, labeller = label_parsed)\n#' }\n#' @name labellers\nNULL\n\ncollapse_labels_lines <- function(labels) {\n  out <- do.call(\"Map\", c(list(paste, sep = \", \"), labels))\n  list(unname(unlist(out)))\n}\n\n#' @rdname labellers\n#' @export\nlabel_value <- function(labels, multi_line = TRUE) {\n  labels <- lapply(labels, as.character)\n  if (multi_line) {\n    labels\n  } else {\n    collapse_labels_lines(labels)\n  }\n}\n# Should ideally not have the 'function' class here, but this is\n# currently needed for Roxygen\nclass(label_value) <- c(\"function\", \"labeller\")\n\n# Helper for label_both\nlabel_variable <- function(labels, multi_line = TRUE) {\n  if (multi_line) {\n    row <- as.list(names(labels))\n  } else {\n    row <- list(paste(names(labels), collapse = \", \"))\n  }\n  lapply(row, rep, nrow(labels) %||% length(labels[[1]]))\n}\n\n#' @rdname labellers\n#' @export\nlabel_both <- function(labels, multi_line = TRUE, sep = \": \") {\n  value <- label_value(labels, multi_line = multi_line)\n  variable <- label_variable(labels, multi_line = multi_line)\n\n  if (multi_line) {\n    out <- vector(\"list\", length(value))\n    for (i in seq_along(out)) {\n      out[[i]] <- paste(variable[[i]], value[[i]], sep = sep)\n    }\n  } else {\n    value <- do.call(\"paste\", c(value, sep = \", \"))\n    variable <- do.call(\"paste\", c(variable, sep = \", \"))\n    out <- Map(paste, variable, value, sep = sep)\n    out <- list(unname(unlist(out)))\n  }\n\n  out\n}\nclass(label_both) <- c(\"function\", \"labeller\")\n\n#' @rdname labellers\n#' @export\nlabel_context <- function(labels, multi_line = TRUE, sep = \": \") {\n  if (length(labels) == 1) {\n    label_value(labels, multi_line)\n  } else {\n    label_both(labels, multi_line)\n  }\n}\nclass(label_context) <- c(\"function\", \"labeller\")\n\n#' @rdname labellers\n#' @export\nlabel_parsed <- function(labels, multi_line = TRUE) {\n  labels <- label_value(labels, multi_line = multi_line)\n  if (multi_line) {\n    # Using unname() and c() to return a cleaner and easily testable\n    # object structure\n    lapply(unname(labels), lapply, function(values) {\n      c(parse(text = as.character(values)))\n    })\n  } else {\n    lapply(labels, function(values) {\n      values <- paste0(\"list(\", values, \")\")\n      lapply(values, function(expr) c(parse(text = expr)))\n    })\n  }\n}\nclass(label_parsed) <- c(\"function\", \"labeller\")\n\nfind_names <- function(expr) {\n  if (is.call(expr)) {\n    unlist(lapply(expr[-1], find_names))\n  } else if (is.name(expr)) {\n    as.character(expr)\n  }\n}\n\n#' Label with mathematical expressions\n#'\n#' `label_bquote()` offers a flexible way of labelling\n#' facet rows or columns with plotmath expressions. Backquoted\n#' variables will be replaced with their value in the facet.\n#'\n#' @param rows Backquoted labelling expression for rows.\n#' @param cols Backquoted labelling expression for columns.\n#' @param default Unused, kept for compatibility.\n#' @seealso \\link{labellers}, [labeller()],\n#' @export\n#' @examples\n#' # The variables mentioned in the plotmath expression must be\n#' # backquoted and referred to by their names.\n#' p <- ggplot(mtcars, aes(wt, mpg)) + geom_point()\n#' p + facet_grid(vs ~ ., labeller = label_bquote(alpha ^ .(vs)))\n#' p + facet_grid(. ~ vs, labeller = label_bquote(cols = .(vs) ^ .(vs)))\n#' p + facet_grid(. ~ vs + am, labeller = label_bquote(cols = .(am) ^ .(vs)))\nlabel_bquote <- function(rows = NULL, cols = NULL,\n                         default) {\n  cols_quoted <- substitute(cols)\n  rows_quoted <- substitute(rows)\n  has_warned <- FALSE\n\n  fun <- function(labels) {\n    quoted <- resolve_labeller(rows_quoted, cols_quoted, labels)\n    if (is.null(quoted)) {\n      return(label_value(labels))\n    }\n\n    evaluate <- function(...) {\n      params <- list(...)\n\n      # Mapping `x` to the first variable for backward-compatibility,\n      # but only if there is no facetted variable also named `x`\n      if (\"x\" %in% find_names(quoted) && !\"x\" %in% names(params)) {\n        if (!has_warned) {\n          warning(\"Referring to `x` is deprecated, use variable name instead\",\n            call. = FALSE)\n          # The function is called for each facet so this avoids\n          # multiple warnings\n          has_warned <<- TRUE\n        }\n        params$x <- params[[1]]\n      }\n\n      eval(substitute(bquote(expr, params), list(expr = quoted)))\n    }\n    list(do.call(\"Map\", c(list(f = evaluate), labels)))\n  }\n\n  structure(fun, class = \"labeller\")\n}\nutils::globalVariables(c(\"x\", \".\"))\n\n#' @rdname labellers\n#' @export\nlabel_wrap_gen <- function(width = 25, multi_line = TRUE) {\n  fun <- function(labels) {\n    labels <- label_value(labels, multi_line = multi_line)\n    lapply(labels, function(x) {\n      x <- strwrap(x, width = width, simplify = FALSE)\n      vapply(x, paste, character(1), collapse = \"\\n\")\n    })\n  }\n  structure(fun, class = \"labeller\")\n}\n\nis_labeller <- function(x) inherits(x, \"labeller\")\n\nresolve_labeller <- function(rows, cols, labels) {\n  if (is.null(cols) && is.null(rows)) {\n    stop(\"Supply one of rows or cols\", call. = FALSE)\n  }\n  if (attr(labels, \"facet\") == \"wrap\") {\n    # Return either rows or cols for facet_wrap()\n    if (!is.null(cols) && !is.null(rows)) {\n      stop(\"Cannot supply both rows and cols to facet_wrap()\", call. = FALSE)\n    }\n    cols %||% rows\n  } else {\n    if (attr(labels, \"type\") == \"rows\") {\n      rows\n    } else {\n      cols\n    }\n  }\n}\n\n#' Coerce to labeller function\n#'\n#' This transforms objects to labeller functions. Used internally by\n#' [labeller()].\n#' @param x Object to coerce to a labeller function. If a named\n#'   character vector, it is used as a lookup table before being\n#'   passed on to `default`. If a non-labeller function, it is\n#'   assumed it takes and returns character vectors and is applied to\n#'   the labels. If a labeller, it is simply applied to the labels.\n#' @param multi_line Whether to display the labels of multiple factors\n#'   on separate lines. This is passed to the labeller function.\n#' @param default Default labeller to process the labels produced by\n#'   lookup tables or modified by non-labeller functions.\n#' @seealso [labeller()], \\link{labellers}\n#' @keywords internal\n#' @export\n#' @examples\n#' p <- ggplot(mtcars, aes(disp, drat)) + geom_point()\n#' p + facet_wrap(~am)\n#'\n#' # Rename labels on the fly with a lookup character vector\n#' to_string <- as_labeller(c(`0` = \"Zero\", `1` = \"One\"))\n#' p + facet_wrap(~am, labeller = to_string)\n#'\n#' # Quickly transform a function operating on character vectors to a\n#' # labeller function:\n#' appender <- function(string, suffix = \"-foo\") paste0(string, suffix)\n#' p + facet_wrap(~am, labeller = as_labeller(appender))\n#'\n#' # If you have more than one faceting variable, be sure to dispatch\n#' # your labeller to the right variable with labeller()\n#' p + facet_grid(cyl ~ am, labeller = labeller(am = to_string))\nas_labeller <- function(x, default = label_value, multi_line = TRUE) {\n  force(x)\n  fun <- function(labels) {\n    labels <- lapply(labels, as.character)\n\n    # Dispatch multi_line argument to the labeller function instead of\n    # supplying it to the labeller call because some labellers do not\n    # support it.\n    default <- dispatch_args(default, multi_line = multi_line)\n\n    if (is_labeller(x)) {\n      x <- dispatch_args(x, multi_line = multi_line)\n      x(labels)\n    } else if (is.function(x)) {\n      default(lapply(labels, x))\n    } else if (is.character(x)) {\n      default(lapply(labels, function(label) x[label]))\n    } else {\n      default(labels)\n    }\n  }\n  structure(fun, class = \"labeller\")\n}\n\n#' Construct labelling specification\n#'\n#' This function makes it easy to assign different labellers to\n#' different factors. The labeller can be a function or it can be a\n#' named character vectors that will serve as a lookup table.\n#'\n#' In case of functions, if the labeller has class `labeller`, it\n#' is directly applied on the data frame of labels. Otherwise, it is\n#' applied to the columns of the data frame of labels. The data frame\n#' is then processed with the function specified in the\n#' `.default` argument. This is intended to be used with\n#' functions taking a character vector such as\n#' [Hmisc::capitalize()].\n#'\n#' @param ... Named arguments of the form \\code{variable =\n#'   labeller}. Each labeller is passed to [as_labeller()]\n#'   and can be a lookup table, a function taking and returning\n#'   character vectors, or simply a labeller function.\n#' @param .rows,.cols Labeller for a whole margin (either the rows or\n#'   the columns). It is passed to [as_labeller()]. When a\n#'   margin-wide labeller is set, make sure you don't mention in\n#'   `...` any variable belonging to the margin.\n#' @param keep.as.numeric Deprecated. All supplied labellers and\n#'   on-labeller functions should be able to work with character\n#'   labels.\n#' @param .multi_line Whether to display the labels of multiple\n#'   factors on separate lines. This is passed to the labeller\n#'   function.\n#' @param .default Default labeller for variables not specified. Also\n#'   used with lookup tables or non-labeller functions.\n#' @family facet labeller\n#' @seealso [as_labeller()], \\link{labellers}\n#' @return A labeller function to supply to [facet_grid()]\n#'   for the argument `labeller`.\n#' @export\n#' @examples\n#' \\donttest{\n#' p1 <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point()\n#'\n#' # You can assign different labellers to variables:\n#' p1 + facet_grid(\n#'   vs + am ~ gear,\n#'   labeller = labeller(vs = label_both, am = label_value)\n#' )\n#'\n#' # Or whole margins:\n#' p1 + facet_grid(\n#'   vs + am ~ gear,\n#'   labeller = labeller(.rows = label_both, .cols = label_value)\n#' )\n#'\n#' # You can supply functions operating on strings:\n#' capitalize <- function(string) {\n#'   substr(string, 1, 1) <- toupper(substr(string, 1, 1))\n#'   string\n#' }\n#' p2 <- ggplot(msleep, aes(x = sleep_total, y = awake)) + geom_point()\n#' p2 + facet_grid(vore ~ conservation, labeller = labeller(vore = capitalize))\n#'\n#' # Or use character vectors as lookup tables:\n#' conservation_status <- c(\n#'   cd = \"Conservation Dependent\",\n#'   en = \"Endangered\",\n#'   lc = \"Least concern\",\n#'   nt = \"Near Threatened\",\n#'   vu = \"Vulnerable\",\n#'   domesticated = \"Domesticated\"\n#' )\n#' ## Source: http://en.wikipedia.org/wiki/Wikipedia:Conservation_status\n#'\n#' p2 + facet_grid(vore ~ conservation, labeller = labeller(\n#'   .default = capitalize,\n#'   conservation = conservation_status\n#' ))\n#'\n#' # In the following example, we rename the levels to the long form,\n#' # then apply a wrap labeller to the columns to prevent cropped text\n#' idx <- match(msleep$conservation, names(conservation_status))\n#' msleep$conservation2 <- conservation_status[idx]\n#'\n#' p3 <- ggplot(msleep, aes(x = sleep_total, y = awake)) + geom_point()\n#' p3 +\n#'   facet_grid(vore ~ conservation2,\n#'     labeller = labeller(conservation2 = label_wrap_gen(10))\n#'   )\n#'\n#' # labeller() is especially useful to act as a global labeller. You\n#' # can set it up once and use it on a range of different plots with\n#' # different facet specifications.\n#'\n#' global_labeller <- labeller(\n#'   vore = capitalize,\n#'   conservation = conservation_status,\n#'   conservation2 = label_wrap_gen(10),\n#'   .default = label_both\n#' )\n#'\n#' p2 + facet_grid(vore ~ conservation, labeller = global_labeller)\n#' p3 + facet_wrap(~conservation2, labeller = global_labeller)\n#' }\nlabeller <- function(..., .rows = NULL, .cols = NULL,\n                     keep.as.numeric = NULL, .multi_line = TRUE,\n                     .default = label_value) {\n  if (!is.null(keep.as.numeric)) {\n    .Deprecated(old = \"keep.as.numeric\")\n  }\n  dots <- list(...)\n  .default <- as_labeller(.default)\n\n  function(labels) {\n    if (!is.null(.rows) || !is.null(.cols)) {\n      margin_labeller <- resolve_labeller(.rows, .cols, labels)\n    } else {\n      margin_labeller <- NULL\n    }\n\n    if (is.null(margin_labeller)) {\n      labellers <- lapply(dots, as_labeller)\n    } else {\n      margin_labeller <- as_labeller(margin_labeller, default = .default,\n        multi_line = .multi_line)\n\n      # Check that variable-specific labellers do not overlap with\n      # margin-wide labeller\n      if (any(names(dots) %in% names(labels))) {\n        stop(\"Conflict between .\", attr(labels, \"type\"), \" and \",\n          paste(names(dots), collapse = \", \"), call. = FALSE)\n      }\n    }\n\n    # Apply relevant labeller\n    if (is.null(margin_labeller)) {\n      # Apply named labeller one by one\n      out <- lapply(names(labels), function(label) {\n        if (label %in% names(labellers)) {\n          labellers[[label]](labels[label])[[1]]\n        } else {\n          .default(labels[label])[[1]]\n        }\n      })\n      names(out) <- names(labels)\n      if (.multi_line) {\n        out\n      } else {\n        collapse_labels_lines(out)\n      }\n    } else {\n      margin_labeller(labels)\n    }\n  }\n}\n\n#' Build facet strips\n#'\n#' Builds a set of facet strips from a data frame of labels.\n#'\n#' @param label_df Data frame of labels to place in strips.\n#' @param labeller Labelling function.\n#' @param theme A theme object.\n#' @param horizontal Whether the strips are horizontal (e.g. x facets) or not.\n#'\n#' @noRd\nbuild_strip <- function(label_df, labeller, theme, horizontal) {\n  labeller <- match.fun(labeller)\n\n  # No labelling data, so return empty row/col\n  if (empty(label_df)) {\n    return(if (horizontal) {\n      list(top = NULL, bottom = NULL)\n    } else {\n      list(left = NULL, right = NULL)\n    })\n  }\n\n  text_theme <- if (horizontal) \"strip.text.x\" else \"strip.text.y\"\n\n  element <- calc_element(text_theme, theme)\n\n  if (inherits(element, \"element_blank\")) {\n    grobs <- rep(list(zeroGrob()), nrow(label_df))\n    return(structure(\n      list(grobs, grobs),\n      names = if (horizontal) c('top', 'bottom') else c('left', 'right')\n    ))\n  }\n\n  # Create matrix of labels\n  labels <- lapply(labeller(label_df), cbind)\n  labels <- do.call(\"cbind\", labels)\n\n  gp <- gpar(\n    fontsize = element$size,\n    col = element$colour,\n    fontfamily = element$family,\n    fontface = element$face,\n    lineheight = element$lineheight\n  )\n\n  if (horizontal) {\n\n    grobs <- create_strip_labels(labels, element, gp)\n    grobs <- ggstrip(grobs, theme, element, gp, horizontal, clip = \"on\")\n\n    list(\n      top = grobs,\n      bottom = grobs\n    )\n  } else {\n\n    grobs <- create_strip_labels(labels, element, gp)\n    grobs_right <- grobs[, rev(seq_len(ncol(grobs))), drop = FALSE]\n\n    grobs_right <- ggstrip(\n      grobs_right,\n      theme,\n      element,\n      gp,\n      horizontal,\n      clip = \"on\"\n    )\n\n    # Change angle of strip labels for y strips that are placed on the left side\n    if (inherits(element, \"element_text\")) {\n      element$angle <- adjust_angle(element$angle)\n    }\n\n    grobs_left <- create_strip_labels(labels, element, gp)\n\n    grobs_left <- ggstrip(\n      grobs_left,\n      theme,\n      element,\n      gp,\n      horizontal,\n      clip = \"on\"\n    )\n\n    list(\n      left = grobs_left,\n      right = grobs_right\n    )\n  }\n}\n\n#' Create list of strip labels\n#'\n#' Calls [title_spec()] on all the labels for a set of strips to create a list\n#' of text grobs, heights, and widths.\n#'\n#' @param labels Matrix of strip labels\n#' @param element Theme element (see [calc_element()]).\n#' @param gp Additional graphical parameters.\n#'\n#' @noRd\ncreate_strip_labels <- function(labels, element, gp) {\n  grobs <- lapply(labels, title_spec,\n    x = NULL,\n    y = NULL,\n    hjust = element$hjust,\n    vjust = element$vjust,\n    angle = element$angle,\n    gp = gp,\n    debug = element$debug\n  )\n  dim(grobs) <- dim(labels)\n  grobs\n}\n\n#' Grob for strip labels\n#'\n#' Takes the output from title_spec, adds margins, creates gList with strip\n#' background and label, and returns gtable matrix.\n#'\n#' @param grobs Output from [title_spec()].\n#' @param theme Theme object.\n#' @param element Theme element (see [calc_element()]).\n#' @param gp Additional graphical parameters.\n#' @param horizontal Whether the strips are horizontal (e.g. x facets) or not.\n#' @param clip should drawing be clipped to the specified cells (‘\"on\"’),the\n#'   entire table (‘\"inherit\"’), or not at all (‘\"off\"’).\n#'\n#' @noRd\nggstrip <- function(grobs, theme, element, gp, horizontal = TRUE, clip) {\n\n  if (horizontal) {\n    height <- max_height(lapply(grobs, function(x) x$text_height))\n    width <- unit(1, \"null\")\n  } else {\n    height <- unit(1, \"null\")\n    width <- max_width(lapply(grobs, function(x) x$text_width))\n  }\n\n  # Add margins around text grob\n  grobs <- apply(\n    grobs,\n    c(1, 2),\n    function(x) {\n      add_margins(\n        grob = x[[1]]$text_grob,\n        height = height,\n        width = width,\n        gp = gp,\n        margin = element$margin,\n        margin_x = TRUE,\n        margin_y = TRUE\n      )\n    }\n  )\n\n  background <- if (horizontal) \"strip.background.x\" else \"strip.background.y\"\n\n  # Put text on a strip\n  grobs <- apply(\n    grobs,\n    c(1, 2),\n    function(label) {\n      ggname(\n        \"strip\",\n        gTree(\n          children = gList(\n            element_render(theme, background),\n            label[[1]]\n          )\n        )\n      )\n    })\n\n  if (horizontal) {\n    height <- height + sum(element$margin[c(1, 3)])\n  } else {\n    width <- width + sum(element$margin[c(2, 4)])\n  }\n\n\n  apply(\n    grobs,\n    1,\n    function(x) {\n      if (horizontal) {\n        mat <- matrix(x, ncol = 1)\n      } else {\n        mat <- matrix(x, nrow = 1)\n      }\n\n      gtable_matrix(\n        \"strip\",\n        mat,\n        rep(width, ncol(mat)),\n        rep(height, nrow(mat)),\n        clip = clip\n      )\n    })\n\n}\n\n# Helper to adjust angle of switched strips\nadjust_angle <- function(angle) {\n  if (is.null(angle)) {\n    -90\n  } else if ((angle + 180) > 360) {\n    angle - 180\n  } else {\n    angle + 180\n  }\n}\n\n# Check for old school labeller\ncheck_labeller <- function(labeller) {\n  labeller <- match.fun(labeller)\n  is_deprecated <- all(c(\"variable\", \"value\") %in% names(formals(labeller)))\n\n  if (is_deprecated) {\n    old_labeller <- labeller\n    labeller <- function(labels) {\n      Map(old_labeller, names(labels), labels)\n    }\n    warning(\"The labeller API has been updated. Labellers taking `variable`\",\n      \"and `value` arguments are now deprecated. See labellers documentation.\",\n      call. = FALSE)\n  }\n\n  labeller\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/labeller.r"},{"filename":"ggplot2/R/guides-.r","content":"#' Set guides for each scale\n#'\n#' Guides for each scale can be set scale-by-scale with the `guide`\n#' argument, or en masse with `guides()`.\n#'\n#' @param ... List of scale name-guide pairs.  The guide can either\n#'   be a string (i.e. \"colorbar\" or \"legend\"), or a call to a guide function\n#'   (i.e. [guide_colourbar()] or [guide_legend()])\n#'   specifying additional arguments.\n#' @return A list containing the mapping between scale and guide.\n#' @export\n#' @family guides\n#' @examples\n#' \\donttest{\n#' # ggplot object\n#'\n#' dat <- data.frame(x = 1:5, y = 1:5, p = 1:5, q = factor(1:5),\n#'  r = factor(1:5))\n#' p <- ggplot(dat, aes(x, y, colour = p, size = q, shape = r)) + geom_point()\n#'\n#' # without guide specification\n#' p\n#'\n#' # Show colorbar guide for colour.\n#' # All these examples below have a same effect.\n#'\n#' p + guides(colour = \"colorbar\", size = \"legend\", shape = \"legend\")\n#' p + guides(colour = guide_colorbar(), size = guide_legend(),\n#'   shape = guide_legend())\n#' p +\n#'  scale_colour_continuous(guide = \"colorbar\") +\n#'  scale_size_discrete(guide = \"legend\") +\n#'  scale_shape(guide = \"legend\")\n#'\n#'  # Remove some guides\n#'  p + guides(colour = \"none\")\n#'  p + guides(colour = \"colorbar\",size = \"none\")\n#'\n#' # Guides are integrated where possible\n#'\n#' p + guides(colour = guide_legend(\"title\"), size = guide_legend(\"title\"),\n#'   shape = guide_legend(\"title\"))\n#' # same as\n#' g <- guide_legend(\"title\")\n#' p + guides(colour = g, size = g, shape = g)\n#'\n#' p + theme(legend.position = \"bottom\")\n#'\n#' # position of guides\n#'\n#' # Set order for multiple guides\n#' ggplot(mpg, aes(displ, cty)) +\n#'   geom_point(aes(size = hwy, colour = cyl, shape = drv)) +\n#'   guides(\n#'    colour = guide_colourbar(order = 1),\n#'    shape = guide_legend(order = 2),\n#'    size = guide_legend(order = 3)\n#'  )\n#' }\nguides <- function(...) {\n  args <- list(...)\n  if (is.list(args[[1]]) && !inherits(args[[1]], \"guide\")) args <- args[[1]]\n  args <- rename_aes(args)\n  structure(args, class = \"guides\")\n}\n\nupdate_guides <- function(p, guides) {\n  p <- plot_clone(p)\n  p$guides <- defaults(guides, p$guides)\n  p\n}\n\n\n# building guides - called in ggplotGrob (plot-render.r)\n#\n# the procedure is as follows:\n#\n# 1. guides_train()\n#      train each scale and generate guide definition for all guides\n#      here, one gdef for one scale\n#\n# 2. guides_merge()\n#      merge gdefs if they are overlayed\n#      number of gdefs may be less than number of scales\n#\n# 3. guides_geom()\n#      process layer information and generate geom info.\n#\n# 4. guides_gengrob()\n#      generate ggrob from each gdef\n#      one ggrob for one gdef\n#\n# 5. guides_build()\n#      arrange all ggrobs\n\nbuild_guides <- function(scales, layers, default_mapping, position, theme, guides, labels) {\n  theme$legend.key.width <- theme$legend.key.width %||% theme$legend.key.size\n  theme$legend.key.height <- theme$legend.key.height %||% theme$legend.key.size\n\n  # Layout of legends depends on their overall location\n  position <- legend_position(position)\n  if (position == \"inside\") {\n    theme$legend.box <- theme$legend.box %||% \"vertical\"\n    theme$legend.direction <- theme$legend.direction %||% \"vertical\"\n    theme$legend.box.just <- theme$legend.box.just %||% c(\"center\", \"center\")\n  } else if (position == \"vertical\") {\n    theme$legend.box <- theme$legend.box %||% \"vertical\"\n    theme$legend.direction <- theme$legend.direction %||% \"vertical\"\n    theme$legend.box.just <- theme$legend.box.just %||% c(\"left\", \"top\")\n  } else if (position == \"horizontal\") {\n    theme$legend.box <- theme$legend.box %||% \"horizontal\"\n    theme$legend.direction <- theme$legend.direction %||% \"horizontal\"\n    theme$legend.box.just <- theme$legend.box.just %||% c(\"center\", \"top\")\n  }\n\n  # scales -> data for guides\n  gdefs <- guides_train(scales = scales, theme = theme, guides = guides, labels = labels)\n  if (length(gdefs) == 0) return(zeroGrob())\n\n  # merge overlay guides\n  gdefs <- guides_merge(gdefs)\n\n  # process layer information\n  gdefs <- guides_geom(gdefs, layers, default_mapping)\n  if (length(gdefs) == 0) return(zeroGrob())\n\n  # generate grob of each guides\n  ggrobs <- guides_gengrob(gdefs, theme)\n\n  # build up guides\n  grobs <- guides_build(ggrobs, theme)\n\n  grobs\n}\n\n# Simplify legend position to one of horizontal/vertical/inside\nlegend_position <- function(position) {\n  if (length(position) == 1) {\n    if (position %in% c(\"top\", \"bottom\")) {\n      \"horizontal\"\n    } else {\n      \"vertical\"\n    }\n  } else {\n    \"inside\"\n  }\n}\n\n# validate guide object\nvalidate_guide <- function(guide) {\n  # if guide is specified by character, then find the corresponding guide\n  if (is.character(guide))\n    match.fun(paste(\"guide_\", guide, sep = \"\"))()\n  else if (inherits(guide, \"guide\"))\n    guide\n  else\n    stop(\"Unknown guide: \", guide)\n}\n\n# train each scale in scales and generate the definition of guide\nguides_train <- function(scales, theme, guides, labels) {\n\n  gdefs <- list()\n  for (scale in scales$scales) {\n    for (output in scale$aesthetics) {\n\n      # guides(XXX) is stored in guides[[XXX]],\n      # which is prior to scale_ZZZ(guide=XXX)\n      # guide is determined in order of:\n      #   + guides(XXX) > + scale_ZZZ(guide=XXX) > default(i.e., legend)\n      guide <- guides[[output]] %||% scale$guide\n\n      # this should be changed to testing guide == \"none\"\n      # scale$legend is backward compatibility\n      # if guides(XXX=FALSE), then scale_ZZZ(guides=XXX) is discarded.\n      if (identical(guide, \"none\") || isFALSE(guide)) next\n\n      # check the validity of guide.\n      # if guide is character, then find the guide object\n      guide <- validate_guide(guide)\n\n      # check the consistency of the guide and scale.\n      if (!identical(guide$available_aes, \"any\") && !any(scale$aesthetics %in% guide$available_aes))\n        stop(\"Guide '\", guide$name, \"' cannot be used for '\", scale$aesthetics, \"'.\")\n\n      guide$title <- scale$make_title(guide$title %|W|% scale$name %|W|% labels[[output]])\n\n      # direction of this grob\n      guide$direction <- guide$direction %||% theme$legend.direction\n\n      # each guide object trains scale within the object,\n      # so Guides (i.e., the container of guides) need not to know about them\n      guide <- guide_train(guide, scale, output)\n\n      if (!is.null(guide)) gdefs[[length(gdefs) + 1]] <- guide\n    }\n  }\n  gdefs\n}\n\n# merge overlapped guides\nguides_merge <- function(gdefs) {\n  # split gdefs based on hash, and apply Reduce (guide_merge) to each gdef group.\n  gdefs <- lapply(gdefs, function(g) {\n    if (g$order == 0) {\n      order <- \"99\"\n    } else {\n      order <- sprintf(\"%02d\", g$order)\n    }\n    g$hash <- paste(order, g$hash, sep = \"_\")\n    g\n  })\n  tapply(gdefs, sapply(gdefs, function(g)g$hash), function(gs)Reduce(guide_merge, gs))\n}\n\n# process layer information\nguides_geom <- function(gdefs, layers, default_mapping) {\n  compact(lapply(gdefs, guide_geom, layers, default_mapping))\n}\n\n# generate grob from each gdef (needs to write this function?)\nguides_gengrob <- function(gdefs, theme) {\n  # common drawing process for all guides\n  gdefs <- lapply(gdefs,\n    function(g) {\n      g$title.position <- g$title.position %||% switch(g$direction, vertical = \"top\", horizontal = \"left\")\n      if (!g$title.position %in% c(\"top\", \"bottom\", \"left\", \"right\"))\n        stop(\"title position \\\"\", g$title.position, \"\\\" is invalid\")\n      g\n    })\n\n  lapply(gdefs, guide_gengrob, theme)\n}\n\n# build up all guide boxes into one guide-boxes.\nguides_build <- function(ggrobs, theme) {\n  theme$legend.spacing <- theme$legend.spacing %||% unit(0.5, \"lines\")\n  theme$legend.spacing.y <- theme$legend.spacing.y  %||% theme$legend.spacing\n  theme$legend.spacing.x <- theme$legend.spacing.x  %||% theme$legend.spacing\n\n  widths <- do.call(\"unit.c\", lapply(ggrobs, function(g)sum(g$widths)))\n  heights <- do.call(\"unit.c\", lapply(ggrobs, function(g)sum(g$heights)))\n\n  # Set the justification of each legend within the legend box\n  # First value is xjust, second value is yjust\n  just <- valid.just(theme$legend.box.just)\n  xjust <- just[1]\n  yjust <- just[2]\n\n  # setting that is different for vertical and horizontal guide-boxes.\n  if (identical(theme$legend.box, \"horizontal\")) {\n    # Set justification for each legend\n    for (i in seq_along(ggrobs)) {\n      ggrobs[[i]] <- editGrob(ggrobs[[i]],\n        vp = viewport(x = xjust, y = yjust, just = c(xjust, yjust),\n          height = heightDetails(ggrobs[[i]])))\n    }\n\n    guides <- gtable_row(name = \"guides\",\n      grobs = ggrobs,\n      widths = widths, height = max(heights))\n\n    # add space between the guide-boxes\n    guides <- gtable_add_col_space(guides, theme$legend.spacing.x)\n\n  } else { # theme$legend.box == \"vertical\"\n    # Set justification for each legend\n    for (i in seq_along(ggrobs)) {\n      ggrobs[[i]] <- editGrob(ggrobs[[i]],\n        vp = viewport(x = xjust, y = yjust, just = c(xjust, yjust),\n          width = widthDetails(ggrobs[[i]])))\n    }\n\n    guides <- gtable_col(name = \"guides\",\n      grobs = ggrobs,\n      width = max(widths), heights = heights)\n\n    # add space between the guide-boxes\n    guides <- gtable_add_row_space(guides, theme$legend.spacing.y)\n  }\n\n  # Add margins around the guide-boxes.\n  theme$legend.box.margin <- theme$legend.box.margin %||% margin()\n  guides <- gtable_add_cols(guides, theme$legend.box.margin[4], pos = 0)\n  guides <- gtable_add_cols(guides, theme$legend.box.margin[2], pos = ncol(guides))\n  guides <- gtable_add_rows(guides, theme$legend.box.margin[1], pos = 0)\n  guides <- gtable_add_rows(guides, theme$legend.box.margin[3], pos = nrow(guides))\n\n  # Add legend box background\n  background <- element_grob(theme$legend.box.background %||% element_blank())\n\n  guides <- gtable_add_grob(guides, background, t = 1, l = 1,\n    b = -1, r = -1, z = -Inf, clip = \"off\", name = \"legend.box.background\")\n  guides$name <- \"guide-box\"\n  guides\n}\n\n# Generics ----------------------------------------------------------------\n\n#' S3 generics for guides.\n#'\n#' You will need to provide methods for these S3 generics if you want to\n#' create your own guide object. They are currently undocumented; use at\n#' your own risk!\n#'\n#' @param guide The guide object\n#' @keywords internal\n#' @name guide-exts\nNULL\n\n#' @export\n#' @rdname guide-exts\nguide_train <- function(guide, scale, aesthetic = NULL) UseMethod(\"guide_train\")\n\n#' @export\n#' @rdname guide-exts\nguide_merge <- function(guide, new_guide) UseMethod(\"guide_merge\")\n\n#' @export\n#' @rdname guide-exts\nguide_geom <- function(guide, layers, default_mapping) UseMethod(\"guide_geom\")\n\n#' @export\n#' @rdname guide-exts\nguide_gengrob <- function(guide, theme) UseMethod(\"guide_gengrob\")\n\n\n# Helpers -----------------------------------------------------------------\n\nmatched_aes <- function(layer, guide, defaults) {\n  all <- names(c(layer$mapping, if (layer$inherit.aes) defaults, layer$stat$default_aes))\n  geom <- c(layer$geom$required_aes, names(layer$geom$default_aes))\n  matched <- intersect(intersect(all, geom), names(guide$key))\n  matched <- setdiff(matched, names(layer$geom_params))\n  setdiff(matched, names(layer$aes_params))\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/guides-.r"},{"filename":"ggplot2/R/guides-grid.r","content":"# Produce a grob to be used as for panel backgrounds\n# minor and major grid line positions are given as fractional positions and will\n# be converted to `'native'` units by polylineGrob() downstream\n#\n# Any minor lines coinciding with major lines will be removed\nguide_grid <- function(theme, x.minor, x.major, y.minor, y.major) {\n\n  x.minor <- setdiff(x.minor, x.major)\n  y.minor <- setdiff(y.minor, y.major)\n\n  ggname(\"grill\", grobTree(\n    element_render(theme, \"panel.background\"),\n    if (length(y.minor) > 0) element_render(\n      theme, \"panel.grid.minor.y\",\n      x = rep(0:1, length(y.minor)), y = rep(y.minor, each = 2),\n      id.lengths = rep(2, length(y.minor))\n    ),\n    if (length(x.minor) > 0) element_render(\n      theme, \"panel.grid.minor.x\",\n      x = rep(x.minor, each = 2), y = rep(0:1, length(x.minor)),\n      id.lengths = rep(2, length(x.minor))\n    ),\n    if (length(y.major) > 0) element_render(\n      theme, \"panel.grid.major.y\",\n      x = rep(0:1, length(y.major)), y = rep(y.major, each = 2),\n      id.lengths = rep(2, length(y.major))\n    ),\n    if (length(x.major) > 0) element_render(\n      theme, \"panel.grid.major.x\",\n      x = rep(x.major, each = 2), y = rep(0:1, length(x.major)),\n      id.lengths = rep(2, length(x.major))\n    )\n  ))\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/guides-grid.r"},{"filename":"ggplot2/R/theme.r","content":"#' Modify components of a theme\n#'\n#' Themes are a powerful way to customize the non-data components of your\n#' plots: i.e. titles, labels, fonts, background, gridlines, and legends.\n#' Themes can be used to give plots a consistent customized look.\n#' Modify a single plot's theme using `theme()`; see [theme_update()] if\n#' you want modify the active theme, to affect all subsequent plots. Theme\n#' elements are documented together according to inheritance, read more\n#' about theme inheritance below.\n#'\n#' @section Theme inheritance:\n#' Theme elements inherit properties from other theme elements heirarchically.\n#' For example, `axis.title.x.bottom` inherits from `axis.title.x` which inherits\n#' from `axis.title`, which in turn inherits from `text`. All text elements inherit\n#' directly or indirectly from `text`; all lines inherit from\n#' `line`, and all rectangular objects inherit from `rect`.\n#' This means that you can modify the appearance of multiple elements by\n#' setting a single high-level component.\n#'\n#' Learn more about setting these aesthetics in `vignette(\"ggplot2-specs\")`.\n#'\n#' @param line all line elements ([element_line()])\n#' @param rect all rectangular elements ([element_rect()])\n#' @param text all text elements ([element_text()])\n#' @param title all title elements: plot, axes, legends ([element_text()];\n#'   inherits from `text`)\n#' @param aspect.ratio aspect ratio of the panel\n#'\n#' @param axis.title,axis.title.x,axis.title.y,axis.title.x.top,axis.title.x.bottom,axis.title.y.left,axis.title.y.right\n#'   labels of axes ([element_text()]). Specify all axes' labels (`axis.title`),\n#'   labels by plane (using `axis.title.x` or `axis.title.y`), or individually\n#'   for each axis (using `axis.title.x.bottom`, `axis.title.x.top`,\n#'   `axis.title.y.left`, `axis.title.y.right`). `axis.title.*.*` inherits from\n#'   `axis.title.*` which inherits from `axis.title`, which in turn inherits\n#'   from `text`\n#' @param axis.text,axis.text.x,axis.text.y,axis.text.x.top,axis.text.x.bottom,axis.text.y.left,axis.text.y.right\n#'   tick labels along axes ([element_text()]). Specify all axis tick labels (`axis.text`),\n#'   tick labels by plane (using `axis.text.x` or `axis.text.y`), or individually\n#'   for each axis (using `axis.text.x.bottom`, `axis.text.x.top`,\n#'   `axis.text.y.left`, `axis.text.y.right`). `axis.text.*.*` inherits from\n#'   `axis.text.*` which inherits from `axis.text`, which in turn inherits\n#'   from `text`\n#' @param axis.ticks,axis.ticks.x,axis.ticks.x.top,axis.ticks.x.bottom,axis.ticks.y,axis.ticks.y.left,axis.ticks.y.right\n#'   tick marks along axes ([element_line()]). Specify all tick marks (`axis.ticks`),\n#'   ticks by plane (using `axis.ticks.x` or `axis.ticks.y`), or individually\n#'   for each axis (using `axis.ticks.x.bottom`, `axis.ticks.x.top`,\n#'   `axis.ticks.y.left`, `axis.ticks.y.right`). `axis.ticks.*.*` inherits from\n#'   `axis.ticks.*` which inherits from `axis.ticks`, which in turn inherits\n#'   from `line`\n#' @param axis.ticks.length length of tick marks (`unit`)\n#' @param axis.line,axis.line.x,axis.line.x.top,axis.line.x.bottom,axis.line.y,axis.line.y.left,axis.line.y.right\n#'   lines along axes ([element_line()]). Specify lines along all axes (`axis.line`),\n#'   lines for each plane (using `axis.line.x` or `axis.line.y`), or individually\n#'   for each axis (using `axis.line.x.bottom`, `axis.line.x.top`,\n#'   `axis.line.y.left`, `axis.line.y.right`). `axis.line.*.*` inherits from\n#'   `axis.line.*` which inherits from `axis.line`, which in turn inherits\n#'   from `line`\n#'\n#' @param legend.background background of legend ([element_rect()]; inherits\n#'   from `rect`)\n#' @param legend.margin the margin around each legend ([margin()])\n#' @param legend.spacing,legend.spacing.x,legend.spacing.y\n#'   the spacing between legends (`unit`). `legend.spacing.x` & `legend.spacing.y`\n#'   inherit from `legend.spacing` or can be specified separately\n#' @param legend.key background underneath legend keys ([element_rect()];\n#'   inherits from `rect`)\n#' @param legend.key.size,legend.key.height,legend.key.width\n#'   size of legend keys (`unit`); key background height & width inherit from\n#'   `legend.key.size` or can be specified separately\n#' @param legend.text legend item labels ([element_text()]; inherits from\n#'   `text`)\n#' @param legend.text.align alignment of legend labels (number from 0 (left) to\n#'   1 (right))\n#' @param legend.title title of legend ([element_text()]; inherits from\n#'   `title`)\n#' @param legend.title.align alignment of legend title (number from 0 (left) to\n#'   1 (right))\n#' @param legend.position the position of legends (\"none\", \"left\", \"right\",\n#'   \"bottom\", \"top\", or two-element numeric vector)\n#' @param legend.direction layout of items in legends (\"horizontal\" or\n#'   \"vertical\")\n#' @param legend.justification anchor point for positioning legend inside plot\n#'   (\"center\" or two-element numeric vector) or the justification according to\n#'   the plot area when positioned outside the plot\n#' @param legend.box arrangement of multiple legends (\"horizontal\" or\n#'   \"vertical\")\n#' @param legend.box.just justification of each legend within the overall\n#'   bounding box, when there are multiple legends (\"top\", \"bottom\", \"left\", or\n#'   \"right\")\n#' @param legend.box.margin margins around the full legend area, as specified\n#'   using [margin()]\n#' @param legend.box.background background of legend area ([element_rect()];\n#'   inherits from `rect`)\n#' @param legend.box.spacing The spacing between the plotting area and the\n#'   legend box (`unit`)\n#'\n#' @param panel.background background of plotting area, drawn underneath plot\n#'   ([element_rect()]; inherits from `rect`)\n#' @param panel.border border around plotting area, drawn on top of plot so that\n#'   it covers tick marks and grid lines. This should be used with\n#'   `fill = NA`\n#'   ([element_rect()]; inherits from `rect`)\n#' @param panel.spacing,panel.spacing.x,panel.spacing.y spacing between facet\n#'   panels (`unit`). `panel.spacing.x` & `panel.spacing.y` inherit from `panel.spacing`\n#'   or can be specified separately.\n#' @param panel.grid,panel.grid.major,panel.grid.minor,panel.grid.major.x,panel.grid.major.y,panel.grid.minor.x,panel.grid.minor.y\n#'   grid lines ([element_line()]). Specify major grid lines,\n#'   or minor grid lines separately (using `panel.grid.major` or `panel.grid.minor`)\n#'   or individually for each axis (using `panel.grid.major.x`, `panel.grid.minor.x`,\n#'   `panel.grid.major.y`, `panel.grid.minor.y`).  Y axis grid lines are horizontal\n#'   and x axis grid lines are vertical. `panel.grid.*.*` inherits from\n#'   `panel.grid.*` which inherits from `panel.grid`, which in turn inherits\n#'   from `line`\n#' @param panel.ontop option to place the panel (background, gridlines) over\n#'   the data layers (`logical`). Usually used with a transparent or blank\n#'   `panel.background`.\n#'\n#' @param plot.background background of the entire plot ([element_rect()];\n#'   inherits from `rect`)\n#' @param plot.title plot title (text appearance) ([element_text()]; inherits\n#'   from `title`) left-aligned by default\n#' @param plot.subtitle plot subtitle (text appearance) ([element_text()];\n#'   inherits from `title`) left-aligned by default\n#' @param plot.caption caption below the plot (text appearance)\n#'   ([element_text()]; inherits from `title`) right-aligned by default\n#' @param plot.tag upper-left label to identify a plot (text appearance)\n#'   ([element_text()]; inherits from `title`) left-aligned by default\n#' @param plot.tag.position The position of the tag as a string (\"topleft\",\n#'   \"top\", \"topright\", \"left\", \"right\", \"bottomleft\", \"bottom\", \"bottomright)\n#'   or a coordinate. If a string, extra space will be added to accommodate the\n#'   tag.\n#' @param plot.margin margin around entire plot (`unit` with the sizes of\n#'   the top, right, bottom, and left margins)\n#'\n#' @param strip.background,strip.background.x,strip.background.y\n#'   background of facet labels ([element_rect()];\n#'   inherits from `rect`). Horizontal facet background (`strip.background.x`)\n#'   & vertical facet background (`strip.background.y`) inherit from\n#'   `strip.background` or can be specified separately\n#' @param strip.placement placement of strip with respect to axes,\n#'    either \"inside\" or \"outside\". Only important when axes and strips are\n#'    on the same side of the plot.\n#' @param strip.text,strip.text.x,strip.text.y facet labels ([element_text()];\n#'   inherits from  `text`). Horizontal facet labels (`strip.text.x`) & vertical\n#'   facet labels (`strip.text.y`) inherit from `strip.text` or can be specified\n#'   separately\n#' @param strip.switch.pad.grid space between strips and axes when strips are\n#'   switched (`unit`)\n#' @param strip.switch.pad.wrap space between strips and axes when strips are\n#'   switched (`unit`)\n#'\n#' @param ... additional element specifications not part of base ggplot2. If\n#'   supplied `validate` needs to be set to `FALSE`.\n#' @param complete set this to `TRUE` if this is a complete theme, such as\n#'   the one returned by [theme_grey()]. Complete themes behave\n#'   differently when added to a ggplot object. Also, when setting\n#'   `complete = TRUE` all elements will be set to inherit from blank\n#'   elements.\n#' @param validate `TRUE` to run `validate_element()`, `FALSE` to bypass checks.\n#'\n#' @seealso\n#'   [+.gg()] and \\code{\\link{\\%+replace\\%}},\n#'   [element_blank()], [element_line()],\n#'   [element_rect()], and [element_text()] for\n#'   details of the specific theme elements.\n#' @export\n#' @examples\n#' p1 <- ggplot(mtcars, aes(wt, mpg)) +\n#'   geom_point() +\n#'   labs(title = \"Fuel economy declines as weight increases\")\n#' p1\n#'\n#' # Plot ---------------------------------------------------------------------\n#' p1 + theme(plot.title = element_text(size = rel(2)))\n#' p1 + theme(plot.background = element_rect(fill = \"green\"))\n#'\n#' # Panels --------------------------------------------------------------------\n#'\n#' p1 + theme(panel.background = element_rect(fill = \"white\", colour = \"grey50\"))\n#' p1 + theme(panel.border = element_rect(linetype = \"dashed\", fill = NA))\n#' p1 + theme(panel.grid.major = element_line(colour = \"black\"))\n#' p1 + theme(\n#'   panel.grid.major.y = element_blank(),\n#'   panel.grid.minor.y = element_blank()\n#' )\n#'\n#' # Put gridlines on top of data\n#' p1 + theme(\n#'   panel.background = element_rect(fill = NA),\n#'   panel.grid.major = element_line(colour = \"grey50\"),\n#'   panel.ontop = TRUE\n#' )\n#'\n#' # Axes ----------------------------------------------------------------------\n#' p1 + theme(axis.line = element_line(size = 3, colour = \"grey80\"))\n#' p1 + theme(axis.text = element_text(colour = \"blue\"))\n#' p1 + theme(axis.ticks = element_line(size = 2))\n#' p1 + theme(axis.ticks.length = unit(.25, \"cm\"))\n#' p1 + theme(axis.title.y = element_text(size = rel(1.5), angle = 90))\n#'\n#' \\donttest{\n#' # Legend --------------------------------------------------------------------\n#' p2 <- ggplot(mtcars, aes(wt, mpg)) +\n#'   geom_point(aes(colour = factor(cyl), shape = factor(vs))) +\n#'   labs(\n#'     x = \"Weight (1000 lbs)\",\n#'     y = \"Fuel economy (mpg)\",\n#'     colour = \"Cylinders\",\n#'     shape = \"Transmission\"\n#'    )\n#' p2\n#'\n#' # Position\n#' p2 + theme(legend.position = \"none\")\n#' p2 + theme(legend.justification = \"top\")\n#' p2 + theme(legend.position = \"bottom\")\n#'\n#' # Or place legends inside the plot using relative coordinates between 0 and 1\n#' # legend.justification sets the corner that the position refers to\n#' p2 + theme(\n#'   legend.position = c(.95, .95),\n#'   legend.justification = c(\"right\", \"top\"),\n#'   legend.box.just = \"right\",\n#'   legend.margin = margin(6, 6, 6, 6)\n#' )\n#'\n#' # The legend.box properties work similarly for the space around\n#' # all the legends\n#' p2 + theme(\n#'   legend.box.background = element_rect(),\n#'   legend.box.margin = margin(6, 6, 6, 6)\n#' )\n#'\n#' # You can also control the display of the keys\n#' # and the justification related to the plot area can be set\n#' p2 + theme(legend.key = element_rect(fill = \"white\", colour = \"black\"))\n#' p2 + theme(legend.text = element_text(size = 8, colour = \"red\"))\n#' p2 + theme(legend.title = element_text(face = \"bold\"))\n#'\n#' # Strips --------------------------------------------------------------------\n#'\n#' p3 <- ggplot(mtcars, aes(wt, mpg)) +\n#'   geom_point() +\n#'   facet_wrap(~ cyl)\n#' p3\n#'\n#' p3 + theme(strip.background = element_rect(colour = \"black\", fill = \"white\"))\n#' p3 + theme(strip.text.x = element_text(colour = \"white\", face = \"bold\"))\n#' p3 + theme(panel.spacing = unit(1, \"lines\"))\n#' }\ntheme <- function(line,\n                  rect,\n                  text,\n                  title,\n                  aspect.ratio,\n                  axis.title,\n                  axis.title.x,\n                  axis.title.x.top,\n                  axis.title.x.bottom,\n                  axis.title.y,\n                  axis.title.y.left,\n                  axis.title.y.right,\n                  axis.text,\n                  axis.text.x,\n                  axis.text.x.top,\n                  axis.text.x.bottom,\n                  axis.text.y,\n                  axis.text.y.left,\n                  axis.text.y.right,\n                  axis.ticks,\n                  axis.ticks.x,\n                  axis.ticks.x.top,\n                  axis.ticks.x.bottom,\n                  axis.ticks.y,\n                  axis.ticks.y.left,\n                  axis.ticks.y.right,\n                  axis.ticks.length,\n                  axis.line,\n                  axis.line.x,\n                  axis.line.x.top,\n                  axis.line.x.bottom,\n                  axis.line.y,\n                  axis.line.y.left,\n                  axis.line.y.right,\n                  legend.background,\n                  legend.margin,\n                  legend.spacing,\n                  legend.spacing.x,\n                  legend.spacing.y,\n                  legend.key,\n                  legend.key.size,\n                  legend.key.height,\n                  legend.key.width,\n                  legend.text,\n                  legend.text.align,\n                  legend.title,\n                  legend.title.align,\n                  legend.position,\n                  legend.direction,\n                  legend.justification,\n                  legend.box,\n                  legend.box.just,\n                  legend.box.margin,\n                  legend.box.background,\n                  legend.box.spacing,\n                  panel.background,\n                  panel.border,\n                  panel.spacing,\n                  panel.spacing.x,\n                  panel.spacing.y,\n                  panel.grid,\n                  panel.grid.major,\n                  panel.grid.minor,\n                  panel.grid.major.x,\n                  panel.grid.major.y,\n                  panel.grid.minor.x,\n                  panel.grid.minor.y,\n                  panel.ontop,\n                  plot.background,\n                  plot.title,\n                  plot.subtitle,\n                  plot.caption,\n                  plot.tag,\n                  plot.tag.position,\n                  plot.margin,\n                  strip.background,\n                  strip.background.x,\n                  strip.background.y,\n                  strip.placement,\n                  strip.text,\n                  strip.text.x,\n                  strip.text.y,\n                  strip.switch.pad.grid,\n                  strip.switch.pad.wrap,\n                  ...,\n                  complete = FALSE,\n                  validate = TRUE\n                  ) {\n  elements <- find_args(..., complete = NULL, validate = NULL)\n\n  if (!is.null(elements$axis.ticks.margin)) {\n    warning(\"`axis.ticks.margin` is deprecated. Please set `margin` property \",\n      \" of `axis.text` instead\", call. = FALSE)\n    elements$axis.ticks.margin <- NULL\n  }\n  if (!is.null(elements$panel.margin)) {\n    warning(\"`panel.margin` is deprecated. Please use `panel.spacing` property \",\n      \"instead\", call. = FALSE)\n    elements$panel.spacing <- elements$panel.margin\n    elements$panel.margin <- NULL\n  }\n  if (!is.null(elements$panel.margin.x)) {\n    warning(\"`panel.margin.x` is deprecated. Please use `panel.spacing.x` property \",\n            \"instead\", call. = FALSE)\n    elements$panel.spacing.x <- elements$panel.margin.x\n    elements$panel.margin.x <- NULL\n  }\n  if (!is.null(elements$panel.margin.y)) {\n    warning(\"`panel.margin` is deprecated. Please use `panel.spacing` property \",\n            \"instead\", call. = FALSE)\n    elements$panel.spacing.y <- elements$panel.margin.y\n    elements$panel.margin.y <- NULL\n  }\n  if (is.unit(elements$legend.margin) && !is.margin(elements$legend.margin)) {\n    warning(\"`legend.margin` must be specified using `margin()`. For the old \",\n      \"behavior use legend.spacing\", call. = FALSE)\n    elements$legend.spacing <- elements$legend.margin\n    elements$legend.margin <- margin()\n  }\n\n  # Check that all elements have the correct class (element_text, unit, etc)\n  if (validate) {\n    mapply(validate_element, elements, names(elements))\n  }\n\n  # If complete theme set all non-blank elements to inherit from blanks\n  if (complete) {\n    elements <- lapply(elements, function(el) {\n      if (inherits(el, \"element\") && !inherits(el, \"element_blank\")) {\n        el$inherit.blank <- TRUE\n      }\n      el\n    })\n  }\n  structure(\n    elements,\n    class = c(\"theme\", \"gg\"),\n    complete = complete,\n    validate = validate\n  )\n}\n\nis_theme_complete <- function(x) isTRUE(attr(x, \"complete\"))\n\n\n# Combine plot defaults with current theme to get complete theme for a plot\nplot_theme <- function(x, default = theme_get()) {\n  theme <- x$theme\n  if (is_theme_complete(theme)) {\n    theme\n  } else {\n    defaults(theme, default)\n  }\n}\n\n#' Modify properties of an element in a theme object\n#'\n#' @param t1 A theme object\n#' @param t2 A theme object that is to be added to `t1`\n#' @param t2name A name of the t2 object. This is used for printing\n#'   informative error messages.\n#' @keywords internal\nadd_theme <- function(t1, t2, t2name) {\n  if (!is.theme(t2)) {\n    stop(\"Don't know how to add RHS to a theme object\",\n      call. = FALSE)\n  }\n\n  # Iterate over the elements that are to be updated\n  for (item in names(t2)) {\n    x <- t1[[item]]\n    y <- t2[[item]]\n\n    if (is.null(x) || inherits(x, \"element_blank\")) {\n      # If x is NULL or element_blank, then just assign it y\n      x <- y\n    } else if (is.null(y) || is.character(y) || is.numeric(y) || is.unit(y) ||\n               is.logical(y) || inherits(y, \"element_blank\")) {\n      # If y is NULL, or a string or numeric vector, or is element_blank, just replace x\n      x <- y\n    } else {\n      # If x is not NULL, then merge into y\n      x <- merge_element(y, x)\n    }\n\n    # Assign it back to t1\n    # This is like doing t1[[item]] <- x, except that it preserves NULLs.\n    # The other form will simply drop NULL values\n    t1[item] <- list(x)\n  }\n\n  # If either theme is complete, then the combined theme is complete\n  attr(t1, \"complete\") <- is_theme_complete(t1) || is_theme_complete(t2)\n  t1\n}\n\n\n# Update a theme from a plot object\n#\n# This is called from add_ggplot.\n#\n# If newtheme is a *complete* theme, then it is meant to replace\n# oldtheme; this function just returns newtheme.\n#\n# Otherwise, it adds elements from newtheme to oldtheme:\n# If oldtheme doesn't already contain those elements,\n# it searches the current default theme, grabs the elements with the\n# same name as those from newtheme, and puts them in oldtheme. Then\n# it adds elements from newtheme to oldtheme.\n# This makes it possible to do things like:\n#   ggplot(data.frame(x = 1:3, y = 1:3)) +\n#   geom_point() + theme(text = element_text(colour = 'red'))\n# and have 'text' keep properties from the default theme. Otherwise\n# you would have to set all the element properties, like family, size,\n# etc.\n#\n# @param oldtheme an existing theme, usually from a plot object, like\n#   plot$theme. This could be an empty list.\n# @param newtheme a new theme object to add to the existing theme\nupdate_theme <- function(oldtheme, newtheme) {\n  # If the newtheme is a complete one, don't bother searching\n  # the default theme -- just replace everything with newtheme\n  if (is_theme_complete(newtheme))\n    return(newtheme)\n\n  # These are elements in newtheme that aren't already set in oldtheme.\n  # They will be pulled from the default theme.\n  newitems <- !names(newtheme) %in% names(oldtheme)\n  newitem_names <- names(newtheme)[newitems]\n  oldtheme[newitem_names] <- theme_get()[newitem_names]\n\n  # Update the theme elements with the things from newtheme\n  # Turn the 'theme' list into a proper theme object first, and preserve\n  # the 'complete' attribute. It's possible that oldtheme is an empty\n  # list, and in that case, set complete to FALSE.\n  old.validate <- isTRUE(attr(oldtheme, \"validate\"))\n  new.validate <- isTRUE(attr(newtheme, \"validate\"))\n  oldtheme <- do.call(theme, c(oldtheme,\n    complete = isTRUE(attr(oldtheme, \"complete\")),\n    validate = old.validate & new.validate))\n\n  oldtheme + newtheme\n}\n\n#' Calculate the element properties, by inheriting properties from its parents\n#'\n#' @param element The name of the theme element to calculate\n#' @param theme A theme object (like [theme_grey()])\n#' @param verbose If TRUE, print out which elements this one inherits from\n#' @keywords internal\n#' @export\n#' @examples\n#' t <- theme_grey()\n#' calc_element('text', t)\n#'\n#' # Compare the \"raw\" element definition to the element with calculated inheritance\n#' t$axis.text.x\n#' calc_element('axis.text.x', t, verbose = TRUE)\n#'\n#' # This reports that axis.text.x inherits from axis.text,\n#' # which inherits from text. You can view each of them with:\n#' t$axis.text.x\n#' t$axis.text\n#' t$text\ncalc_element <- function(element, theme, verbose = FALSE) {\n  if (verbose) message(element, \" --> \", appendLF = FALSE)\n\n  # If this is element_blank, don't inherit anything from parents\n  if (inherits(theme[[element]], \"element_blank\")) {\n    if (verbose) message(\"element_blank (no inheritance)\")\n    return(theme[[element]])\n  }\n\n  # If the element is defined (and not just inherited), check that\n  # it is of the class specified in .element_tree\n  if (!is.null(theme[[element]]) &&\n      !inherits(theme[[element]], ggplot_global$element_tree[[element]]$class)) {\n    stop(element, \" should have class \", ggplot_global$element_tree[[element]]$class)\n  }\n\n  # Get the names of parents from the inheritance tree\n  pnames <- ggplot_global$element_tree[[element]]$inherit\n\n  # If no parents, this is a \"root\" node. Just return this element.\n  if (is.null(pnames)) {\n    # Check that all the properties of this element are non-NULL\n    nullprops <- vapply(theme[[element]], is.null, logical(1))\n    if (any(nullprops)) {\n      stop(\"Theme element '\", element, \"' has NULL property: \",\n        paste(names(nullprops)[nullprops], collapse = \", \"))\n    }\n\n    if (verbose) message(\"nothing (top level)\")\n    return(theme[[element]])\n  }\n\n  # Calculate the parent objects' inheritance\n  if (verbose) message(paste(pnames, collapse = \", \"))\n  parents <- lapply(pnames, calc_element, theme, verbose)\n\n  # Combine the properties of this element with all parents\n  Reduce(combine_elements, parents, theme[[element]])\n}\n\n#' Merge a parent element into a child element\n#'\n#' This is a generic and element classes must provide an implementation of this\n#' method\n#'\n#' @param new The child element in the theme hierarchy\n#' @param old The parent element in the theme hierarchy\n#' @return A modified version of `new` updated with the properties of\n#' `old`\n#' @keywords internal\n#' @export\n#' @examples\n#' new <- element_text(colour = \"red\")\n#' old <- element_text(colour = \"blue\", size = 10)\n#'\n#' # Adopt size but ignore colour\n#' merge_element(new, old)\n#'\nmerge_element <- function(new, old) {\n  UseMethod(\"merge_element\")\n}\n#' @rdname merge_element\n#' @export\nmerge_element.default <- function(new, old) {\n  stop(\"No method for merging \", class(new)[1], \" into \", class(old)[1], call. = FALSE)\n}\n#' @rdname merge_element\n#' @export\nmerge_element.element <- function(new, old) {\n  if (!inherits(new, class(old)[1])) {\n    stop(\"Only elements of the same class can be merged\", call. = FALSE)\n  }\n  # Override NULL properties of new with the values in old\n  # Get logical vector of NULL properties in new\n  idx <- vapply(new, is.null, logical(1))\n  # Get the names of TRUE items\n  idx <- names(idx[idx])\n\n  # Update non-NULL items\n  new[idx] <- old[idx]\n\n  new\n}\n\n# Combine the properties of two elements\n#\n# @param e1 An element object\n# @param e2 An element object which e1 inherits from\ncombine_elements <- function(e1, e2) {\n\n  # If e2 is NULL, nothing to inherit\n  if (is.null(e2) || inherits(e1, \"element_blank\"))  return(e1)\n  # If e1 is NULL inherit everything from e2\n  if (is.null(e1)) return(e2)\n  # If e2 is element_blank, and e1 inherits blank inherit everything from e2,\n  # otherwise ignore e2\n  if (inherits(e2, \"element_blank\")) {\n    if (e1$inherit.blank) return(e2)\n    else return(e1)\n  }\n\n  # If e1 has any NULL properties, inherit them from e2\n  n <- vapply(e1[names(e2)], is.null, logical(1))\n  e1[n] <- e2[n]\n\n  # Calculate relative sizes\n  if (is.rel(e1$size)) {\n    e1$size <- e2$size * unclass(e1$size)\n  }\n\n  e1\n}\n\n#' Reports whether x is a theme object\n#' @param x An object to test\n#' @export\n#' @keywords internal\nis.theme <- function(x) inherits(x, \"theme\")\n\n#' @export\nprint.theme <- function(x, ...) utils::str(x)","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/theme.r"},{"filename":"grid/R/gpar.R","content":"#  File src/library/grid/R/gpar.R\n#  Part of the R package, https://www.R-project.org\n#\n#  Copyright (C) 1995-2016 The R Core Team\n#\n#  This program is free software; you can redistribute it and/or modify\n#  it under the terms of the GNU General Public License as published by\n#  the Free Software Foundation; either version 2 of the License, or\n#  (at your option) any later version.\n#\n#  This program is distributed in the hope that it will be useful,\n#  but WITHOUT ANY WARRANTY; without even the implied warranty of\n#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#  GNU General Public License for more details.\n#\n#  A copy of the GNU General Public License is available at\n#  https://www.R-project.org/Licenses/\n\n\n# A \"gpar\" object is a list of graphics parameters\n# A graphics parameter is a name-value pair\n\ngpar <- function(...) {\n  gp <- validGP(list(...))\n  class(gp) <- \"gpar\"\n  gp\n}\n\nis.gpar <- function(x) {\n  inherits(x, \"gpar\")\n}\n\nprint.gpar <- function(x, ...) {\n  print(unclass(x), ...)\n  invisible(x)\n}\n\nvalidGP <- function(gpars) {\n  # Check a (non-NULL) gpar is not of length 0\n  check.length <- function(gparname) {\n    if (length(gpars[[gparname]]) == 0)\n      stop(gettextf(\"'gpar' element '%s' must not be length 0\", gparname),\n           domain = NA)\n  }\n  # Check a gpar is numeric and not NULL\n  numnotnull <- function(gparname) {\n    if (!is.na(match(gparname, names(gpars)))) {\n      if (is.null(gpars[[gparname]]))\n        gpars[[gparname]] <<- NULL\n      else {\n        check.length(gparname)\n        gpars[[gparname]] <<- as.numeric(gpars[[gparname]])\n      }\n    }\n  }\n  checkNA <- function(gparname) {\n      if (!is.na(match(gparname, names(gpars)))) {\n          if (any(is.na(gpars[[gparname]]))) {\n              # ALL NA gets removed (ignored)\n              if (all(is.na(gpars[[gparname]]))) {\n                  gpars[[gparname]] <<- NULL\n              } else {\n                  stop(gettextf(\"mixture of missing and non-missing values for %s\",\n                                gparname),\n                       domain=NA)\n              }\n          }\n      }\n  }\n  # fontsize, lineheight, cex, lwd should be numeric and not NULL\n  numnotnull(\"fontsize\")\n  checkNA(\"fontsize\")\n  numnotnull(\"lineheight\")\n  checkNA(\"lineheight\")\n  numnotnull(\"cex\")\n  checkNA(\"cex\")\n  numnotnull(\"lwd\")\n  numnotnull(\"lex\")\n  # gamma defunct in 2.7.0\n  if (\"gamma\" %in% names(gpars)) {\n    warning(\"'gamma' 'gpar' element is defunct\")\n    gpars$gamma <- NULL\n  }\n  numnotnull(\"alpha\")\n  # col and fill are converted in C code\n  # BUT still want to check length > 0\n  if (!is.na(match(\"col\", names(gpars)))) {\n      if (is.null(gpars$col))\n          gpars$col <- NULL\n      else\n          check.length(\"col\")\n  }\n  if (!is.na(match(\"fill\", names(gpars)))) {\n      if (is.null(gpars$fill))\n          gpars$fill <- NULL\n      else\n          check.length(\"fill\")\n  }\n  # lty converted in C code\n  # BUT still want to check for NULL and check length > 0\n  if (!is.na(match(\"lty\", names(gpars)))) {\n    if (is.null(gpars$lty))\n      gpars$lty <- NULL\n    else\n      check.length(\"lty\")\n  }\n  if (!is.na(match(\"lineend\", names(gpars)))) {\n    if (is.null(gpars$lineend))\n      gpars$lineend <- NULL\n    else\n      check.length(\"lineend\")\n  }\n  if (!is.na(match(\"linejoin\", names(gpars)))) {\n    if (is.null(gpars$linejoin))\n      gpars$linejoin <- NULL\n    else\n      check.length(\"linejoin\")\n  }\n  # linemitre should be larger than 1\n  numnotnull(\"linemitre\")\n  if (!is.na(match(\"linemitre\", names(gpars)))) {\n    if (any(gpars$linemitre < 1))\n      stop(\"invalid 'linemitre' value\")\n  }\n  # alpha should be 0 to 1\n  if (!is.na(match(\"alpha\", names(gpars)))) {\n    if (any(gpars$alpha < 0 || gpars$alpha > 1))\n      stop(\"invalid 'alpha' value\")\n  }\n  # font should be integer and not NULL\n  if (!is.na(match(\"font\", names(gpars)))) {\n    if (is.null(gpars$font))\n      gpars$font <- NULL\n    else {\n      check.length(\"font\")\n      gpars$font <- as.integer(gpars$font)\n    }\n  }\n  # fontfamily should be character\n  if (!is.na(match(\"fontfamily\", names(gpars)))) {\n    if (is.null(gpars$fontfamily))\n      gpars$fontfamily <- NULL\n    else {\n      check.length(\"fontfamily\")\n      gpars$fontfamily <- as.character(gpars$fontfamily)\n      checkNA(\"fontfamily\")\n    }\n  }\n  # fontface can be character or integer;  map character to integer\n  # store value in font\n  # Illegal to specify both font and fontface\n  if (!is.na(match(\"fontface\", names(gpars)))) {\n    if (!is.na(match(\"font\", names(gpars))))\n      stop(\"must specify only one of 'font' and 'fontface'\")\n    gpars$font <-\n\tif (is.null(gpars$fontface)) NULL # remove it\n\telse {\n\t    check.length(\"fontface\")\n\t    if (is.numeric(gpars$fontface))\n\t\tas.integer(gpars$fontface)\n\t    else\n\t\tvapply(as.character(gpars$fontface),\n\t\t       function(ch) # returns integer\n\t\t       switch(ch,\n\t\t\t      plain = 1L,\n\t\t\t      bold  = 2L,\n\t\t\t      italic=, oblique = 3L,\n\t\t\t      bold.italic = 4L,\n\t\t\t      symbol= 5L,\n\t\t\t\t\t# These are Hershey variants\n\t\t\t      cyrillic=5L,\n\t\t\t      cyrillic.oblique=6L,\n\t\t\t      EUC   = 7L,\n\t\t\t      stop(\"invalid fontface \", ch)), 0L)\n\t}\n  }\n  gpars\n}\n\n# Method for subsetting \"gpar\" objects\n`[.gpar` <- function(x, index, ...) {\n    if (length(x) == 0)\n        return(gpar())\n    maxn <- do.call(\"max\", lapply(x, length))\n    newgp <- lapply(x, rep, length.out=maxn)\n    newgp <- lapply(X = newgp, FUN = \"[\", index, ...)\n    class(newgp) <- \"gpar\"\n    newgp\n}\n\n# possible gpar names\n# The order must match the GP_* values in grid.h\n.grid.gpar.names <- c(\"fill\", \"col\", \"gamma\", \"lty\", \"lwd\", \"cex\",\n                      \"fontsize\", \"lineheight\", \"font\", \"fontfamily\",\n                      \"alpha\", \"lineend\", \"linejoin\", \"linemitre\",\n                      \"lex\",\n                      # Keep fontface at the end because it is never\n                      # used in C code (it gets mapped to font)\n                      \"fontface\")\n\nset.gpar <- function(gp, engineDL=TRUE) {\n  if (!is.gpar(gp))\n    stop(\"argument must be a 'gpar' object\")\n  temp <- grid.Call(C_getGPar)\n  # gamma defunct in 2.7.0\n  if (\"gamma\" %in% names(gp)) {\n      warning(\"'gamma' 'gpar' element is defunct\")\n      gp$gamma <- NULL\n  }\n  # Special case \"cex\" (make it cumulative)\n  if (match(\"cex\", names(gp), nomatch=0L))\n    tempcex <- temp$cex * gp$cex\n  else\n    tempcex <- temp$cex\n  # Special case \"alpha\" (make it cumulative)\n  if (match(\"alpha\", names(gp), nomatch=0L))\n    tempalpha <- temp$alpha * gp$alpha\n  else\n    tempalpha <- temp$alpha\n  # Special case \"lex\" (make it cumulative)\n  if (match(\"lex\", names(gp), nomatch=0L))\n    templex <- temp$lex * gp$lex\n  else\n    templex <- temp$lex\n  # All other gpars\n  temp[names(gp)] <- gp\n  temp$cex <- tempcex\n  temp$alpha <- tempalpha\n  temp$lex <- templex\n  if (engineDL) {\n      ## Do this as a .Call.graphics to get it onto the base display list\n      grid.Call.graphics(C_setGPar, temp)\n  } else {\n      grid.Call(C_setGPar, temp)\n  }\n}\n\nget.gpar <- function(names=NULL) {\n  if (is.null(names)) {\n    result <- grid.Call(C_getGPar)\n    # drop gamma\n    result$gamma <- NULL\n  } else {\n    if (!is.character(names) ||\n        !all(names %in% .grid.gpar.names))\n      stop(\"must specify only valid 'gpar' names\")\n    # gamma deprecated\n    if (\"gamma\" %in% names) {\n      warning(\"'gamma' 'gpar' element is defunct\")\n      names <- names[-match(\"gamma\", names)]\n    }\n    result <- unclass(grid.Call(C_getGPar))[names]\n  }\n  class(result) <- \"gpar\"\n  result\n}\n\n# When editing a gp slot, only update the specified gpars\n# Assume gp is NULL or a gpar\n# assume newgp is a gpar (and not NULL)\nmod.gpar <- function(gp, newgp) {\n  if (is.null(gp))\n    gp <- newgp\n  else\n    gp[names(newgp)] <- newgp\n  gp\n}\n","normpath":"/Users/thomas/Dropbox/GitHub/grid/R/gpar.R"},{"filename":"grid/R/viewport.R","content":"#  File src/library/grid/R/viewport.R\n#  Part of the R package, https://www.R-project.org\n#\n#  Copyright (C) 1995-2013 The R Core Team\n#\n#  This program is free software; you can redistribute it and/or modify\n#  it under the terms of the GNU General Public License as published by\n#  the Free Software Foundation; either version 2 of the License, or\n#  (at your option) any later version.\n#\n#  This program is distributed in the hope that it will be useful,\n#  but WITHOUT ANY WARRANTY; without even the implied warranty of\n#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#  GNU General Public License for more details.\n#\n#  A copy of the GNU General Public License is available at\n#  https://www.R-project.org/Licenses/\n\n\ninitvpAutoName <- function() {\n  index <- 0\n  function() {\n    index <<- index + 1\n    paste0(\"GRID.VP.\", index)\n  }\n}\n\nvpAutoName <- initvpAutoName()\n\n# NOTE: The order of the elements in viewports and pushedvps are\n# VERY IMPORTANT because the C code accesses them using constant\n# indices (i.e., if you change the order here the world will end!\nvalid.viewport <- function(x, y, width, height, just,\n                           gp, clip,\n                           xscale, yscale, angle,\n                           layout, layout.pos.row, layout.pos.col,\n                           name) {\n  if (length(x) > 1 || length(y) > 1 ||\n      length(width) > 1 || length(height) > 1)\n    stop(\"'x', 'y', 'width', and 'height' must all be units of length 1\")\n  if (!is.gpar(gp))\n    stop(\"invalid 'gp' value\")\n  if (!is.logical(clip))\n    clip <- switch(as.character(clip),\n                   on=TRUE,\n                   off=NA,\n                   inherit=FALSE,\n                   stop(\"invalid 'clip' value\"))\n  # Ensure both 'xscale' and 'yscale' are numeric (brute force defense)\n  xscale <- as.numeric(xscale)\n  yscale <- as.numeric(yscale)\n  if (!is.numeric(xscale) || length(xscale) != 2 ||\n      any(!is.finite(xscale)) || diff(xscale) == 0)\n    stop(\"invalid 'xscale' in viewport\")\n  if (!is.numeric(yscale) || length(yscale) != 2 ||\n      any(!is.finite(yscale)) || diff(yscale) == 0)\n    stop(\"invalid 'yscale' in viewport\")\n  if (!is.numeric(angle) || length(angle) != 1 ||\n      !is.finite(angle))\n    stop(\"invalid 'angle' in viewport\")\n  if (!(is.null(layout) || is.layout(layout)))\n    stop(\"invalid 'layout' in viewport\")\n  if (!is.null(layout.pos.row)) {\n    layout.pos.row <- as.integer(range(layout.pos.row))\n    if (any(!is.finite(layout.pos.row)))\n      stop(\"invalid 'layout.pos.row' in viewport\")\n  }\n  if (!is.null(layout.pos.col)) {\n    layout.pos.col <- as.integer(range(layout.pos.col))\n    if (any(!is.finite(layout.pos.col)))\n      stop(\"invalid 'layout.pos.col' in viewport\")\n  }\n  # If name is NULL then we give it a default\n  # Otherwise it should be a valid R name\n  if (is.null(name))\n    name <- vpAutoName()\n  # Put all the valid things first so that are found quicker\n  vp <- list(x = x, y = y, width = width, height = height,\n             justification = just,\n             gp = gp,\n             clip = clip,\n             xscale = xscale,\n             yscale = yscale,\n             angle = angle,\n             layout = layout,\n             layout.pos.row = layout.pos.row,\n             layout.pos.col = layout.pos.col,\n             valid.just = valid.just(just),\n             valid.pos.row = layout.pos.row,\n             valid.pos.col = layout.pos.col,\n             name=name)\n  class(vp) <- \"viewport\"\n  vp\n}\n\n# When a viewport is pushed, an internal copy is stored along\n# with plenty of additional information relevant to the state\n# at the time of being pushed (this is all used to return to this\n# viewport without having to repush it)\npushedvp <- function(vp) {\n    # NOTE that this function is only called from C code:\n    # either directly from L_setviewport() or indirectly from initVP()\n    # via grid.top.level.vp()\n    # vp$gpar and vp$parentgpar are both set previously in push.vp.viewport()\n  pvp <- c(vp, list(trans = NULL,\n                    widths = NULL,\n                    heights = NULL,\n                    width.cm = NULL,\n                    height.cm = NULL,\n                    rotation = NULL,\n                    cliprect = NULL,\n                    parent = NULL,\n                    # Children of this pushedvp will be stored\n                    # in an environment\n                    children = new.env(hash=TRUE, parent=baseenv()),\n                    # Initial value of 0 means that the viewport will\n                    # be pushed \"properly\" the first time, calculating\n                    # transformations, etc ...\n                    devwidthcm = 0,\n                    devheightcm = 0))\n  class(pvp) <- c(\"pushedvp\", class(vp))\n  pvp\n}\n\nvpFromPushedvp <- function(pvp) {\n  vp <- pvp[c(\"x\", \"y\", \"width\", \"height\",\n              \"justification\", \"gp\", \"clip\",\n              \"xscale\", \"yscale\", \"angle\",\n              \"layout\", \"layout.pos.row\", \"layout.pos.col\",\n              \"valid.just\", \"valid.pos.row\", \"valid.pos.col\",\n              \"name\")]\n  class(vp) <- \"viewport\"\n  vp\n}\n\nas.character.viewport <- function(x, ...) {\n  paste0(\"viewport[\", x$name, \"]\")\n}\n\nas.character.vpList <- function(x, ...) {\n  paste0(\"(\", paste(vapply(x, as.character, \"\"), collapse=\", \"), \")\")\n}\n\nas.character.vpStack <- function(x, ...) {\n  paste(vapply(x, as.character, \"\"), collapse=\"->\")\n}\n\nas.character.vpTree <- function(x, ...) {\n  paste(x$parent, x$children, sep=\"->\")\n}\n\nprint.viewport <- function(x, ...) {\n  cat(as.character(x), \"\\n\")\n  invisible(x)\n}\n\nwidth.details.viewport <- function(x) {\n  absolute.size(x$width)\n}\n\nheight.details.viewport <- function(x) {\n  absolute.size(x$height)\n}\n\n# How many \"levels\" in viewport object\ndepth <- function(x, ...) {\n  UseMethod(\"depth\")\n}\n\ndepth.viewport <- function(x, ...) {\n  1\n}\n\ndepth.vpList <- function(x, ...) {\n  # When pushed, the last element of the vpList is pushed last\n  # so we are left whereever that leaves us\n  depth(x[[length(x)]], ...)\n}\n\ndepth.vpStack <- function(x, ...) {\n  # Elements in the stack may be vpStacks or vpLists or vpTrees\n  # so need to sum all the depths\n  sum(sapply(x, depth, ..., simplify=TRUE))\n}\n\ndepth.vpTree <- function(x, ...) {\n  # When pushed, the last element of the vpTree$children is\n  # pushed last so we are left wherever that leaves us\n  depth(x$parent, ...) + depth(x$children[[length(x$children)]], ...)\n}\n\ndepth.path <- function(x, ...) {\n  x$n\n}\n\n####################\n# Accessors\n####################\n\nviewport.layout <- function(vp) {\n  vp$layout\n}\n\nviewport.transform <- function(vp) {\n    .Defunct(\"current.transform\")\n}\n\n####################\n# Public Constructor\n####################\nviewport <- function(x = unit(0.5, \"npc\"),\n                     y = unit(0.5, \"npc\"),\n                     width = unit(1, \"npc\"),\n                     height = unit(1, \"npc\"),\n                     default.units = \"npc\",\n                     just = \"centre\",\n                     gp = gpar(),\n                     clip = \"inherit\",\n                     # FIXME: scales are only linear at the moment\n                     xscale = c(0, 1),\n                     yscale = c(0, 1),\n                     angle = 0,\n                     # Layout for arranging children of this viewport\n                     layout = NULL,\n                     # Position of this viewport in parent's layout\n                     layout.pos.row = NULL,\n                     layout.pos.col = NULL,\n                     # This is down here to avoid breaking\n                     # existing code\n                     name=NULL) {\n  if (!is.unit(x))\n    x <- unit(x, default.units)\n  if (!is.unit(y))\n    y <- unit(y, default.units)\n  if (!is.unit(width))\n    width <- unit(width, default.units)\n  if (!is.unit(height))\n    height <- unit(height, default.units)\n  valid.viewport(x, y, width, height, just,\n                 gp, clip, xscale, yscale, angle,\n                 layout, layout.pos.row, layout.pos.col, name)\n}\n\nis.viewport <- function(vp) {\n  inherits(vp, \"viewport\")\n}\n\n#############\n# Some classes derived from viewport\n#############\n\nviewportorpath <- function(x) {\n    is.viewport(x) || inherits(x, \"vpPath\")\n}\n\nvpListFromList <- function(vps) {\n  if (all(sapply(vps, viewportorpath, simplify=TRUE))) {\n    class(vps) <- c(\"vpList\", \"viewport\")\n    vps\n  } else {\n    stop(\"only viewports allowed in 'vpList'\")\n  }\n}\n\n# Viewports will be pushed in parallel\nvpList <- function(...) {\n  vps <- list(...)\n  vpListFromList(vps)\n}\n\n# Viewports will be pushed in series\nvpStack <- function(...) {\n  vps <- list(...)\n  if (all(sapply(vps, viewportorpath, simplify=TRUE))) {\n    class(vps) <- c(\"vpStack\", \"viewport\")\n    vps\n  } else {\n    stop(\"only viewports allowed in 'vpStack'\")\n  }\n}\n\n# Viewports will be pushed as a tree\nvpTree <- function(parent, children) {\n  if (viewportorpath(parent) && inherits(children, \"vpList\")) {\n    tree <- list(parent=parent, children=children)\n    class(tree) <- c(\"vpTree\", \"viewport\")\n    tree\n  } else {\n    stop(\"'parent' must be a viewport and 'children' must be a 'vpList' in 'vpTree'\")\n  }\n}\n\n# A function for setting all gpars for vpStack/List/Tree\n# Used in size.R\nsetvpgpar <- function(vp) {\n  UseMethod(\"setvpgpar\")\n}\n\nsetvpgpar.viewport <- function(vp) {\n  if (!is.null(vp$gp))\n    set.gpar(vp$gp)\n}\n\nsetvpgpar.vpStack <- function(vp) {\n  lapply(vp, setvpgpar)\n}\n\nsetvpgpar.vpList <- function(vp) {\n  setvpgpar(vp[[length(vp)]])\n}\n\nsetvpgpar.vpTree <- function(vp) {\n  setvpgpar(vp$parent)\n  setvpgpar(vp$children)\n}\n\n#############\n# Functions for creating \"paths\" of viewport names\n#############\n.grid.pathSep <- \"::\"\n\nvpPathFromVector <- function(names) {\n  if (any(bad <- !is.character(names)))\n      stop(ngettext(sum(bad),\n                    \"invalid viewport name\",\n                    \"invalid viewport names\"),\n           domain = NA)\n  names <- unlist(strsplit(names, .grid.pathSep))\n  n <- length(names)\n  if (n < 1)\n    stop(\"a viewport path must contain at least one viewport name\")\n  path <- list(path=if (n==1) NULL else\n               paste(names[seq_len(n-1L)], collapse=.grid.pathSep),\n               name=names[n],\n               n=n)\n  class(path) <- c(\"vpPath\", \"path\")\n  path\n}\n\nvpPath <- function(...) {\n  names <- c(...)\n  vpPathFromVector(names)\n}\n\nas.character.path <- function(x, ...) {\n  if (x$n == 1)\n    x$name\n  else\n    paste(x$path, x$name, sep=.grid.pathSep)\n}\n\nprint.path <- function(x, ...) {\n  cat(as.character(x), \"\\n\")\n  invisible(x)\n}\n\n`[.vpPath` <- function(x, index, ...) {\n  names <- unlist(strsplit(as.character(x), .grid.pathSep))[index]\n  vpPathFromVector(names)\n}\n\n# Explode path$path\nexplode <- function(x) {\n    UseMethod(\"explode\")\n}\n\nexplode.character <- function(x) {\n    unlist(strsplit(x, .grid.pathSep))\n}\n\nexplode.path <- function(x) {\n  if (x$n == 1)\n    x$name\n  else\n    c(explode(x$path), x$name)\n}\n\n\n#############\n# Some handy viewport functions\n#############\n\n# Create a viewport with margins given in number of lines\nplotViewport <- function(margins=c(5.1, 4.1, 4.1, 2.1), ...) {\n  margins <- rep(as.numeric(margins), length.out=4)\n  viewport(x=unit(margins[2L], \"lines\"),\n           width=unit(1, \"npc\") - unit(sum(margins[c(2,4)]), \"lines\"),\n           y=unit(margins[1L], \"lines\"),\n           height=unit(1, \"npc\") - unit(sum(margins[c(1,3)]), \"lines\"),\n           just=c(\"left\", \"bottom\"),\n           ...)\n}\n\n# Create a viewport from data\n# If xscale not specified then determine from x\n# If yscale not specified then determine from y\ndataViewport <- function(xData = NULL, yData = NULL,\n                         xscale = NULL, yscale = NULL, extension = 0.05, ...)\n{\n    extension <- rep(extension, length.out = 2)\n    if (is.null(xscale)) {\n        if (is.null(xData))\n            stop(\"must specify at least one of 'x' or 'xscale'\")\n        xscale <- extendrange(xData, f = extension[1L])\n    }\n    if (is.null(yscale)) {\n        if (is.null(yData))\n            stop(\"must specify at least one of 'y' or 'yscale'\")\n        yscale <- extendrange(yData, f = extension[2L])\n    }\n    viewport(xscale = xscale, yscale = yscale, ...)\n}","normpath":"/Users/thomas/Dropbox/GitHub/grid/R/viewport.R"},{"filename":"ggplot2/R/grob-absolute.r","content":"#' Absolute grob\n#'\n#' This grob has fixed dimensions and position.\n#'\n#' It's still experimental\n#'\n#' @keywords internal\nabsoluteGrob <- function(grob, width = NULL, height = NULL,\n  xmin = NULL, ymin = NULL, vp = NULL) {\n\n  gTree(\n    children = grob,\n    width = width, height = height,\n    xmin = xmin, ymin = ymin,\n    vp = vp, cl = \"absoluteGrob\"\n  )\n}\n\n#' @export\n#' @method grobHeight absoluteGrob\ngrobHeight.absoluteGrob <- function(x) {\n  x$height %||% grobHeight(x$children)\n}\n#' @export\n#' @method grobWidth absoluteGrob\ngrobWidth.absoluteGrob <- function(x) {\n  x$width %||%  grobWidth(x$children)\n}\n\n#' @export\n#' @method grobX absoluteGrob\ngrobX.absoluteGrob <- function(x, theta) {\n  if (!is.null(x$xmin) && theta == \"west\") return(x$xmin)\n  grobX(x$children, theta)\n}\n#' @export\n#' @method grobY absoluteGrob\ngrobY.absoluteGrob <- function(x, theta) {\n  if (!is.null(x$ymin) && theta == \"south\") return(x$ymin)\n  grobY(x$children, theta)\n}\n\n#' @export\n#' @method grid.draw absoluteGrob\ngrid.draw.absoluteGrob <- function(x, recording = TRUE) {\n  NextMethod()\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/grob-absolute.r"},{"filename":"ggplot2/R/scale-continuous.r","content":"#' Position scales for continuous data (x & y)\n#'\n#' `scale_x_continuous()` and `scale_y_continuous()` are the default\n#' scales for continuous x and y aesthetics. There are three variants\n#' that set the `trans` argument for commonly used transformations:\n#' `scale_*_log10()`, `scale_*_sqrt()` and `scale_*_reverse()`.\n#'\n#' For simple manipulation of labels and limits, you may wish to use\n#' [labs()] and [lims()] instead.\n#'\n#' @inheritParams continuous_scale\n#' @family position scales\n#' @param ... Other arguments passed on to `scale_(x|y)_continuous()`\n#' @examples\n#' p1 <- ggplot(mpg, aes(displ, hwy)) +\n#'   geom_point()\n#' p1\n#'\n#' # Manipulating the default position scales lets you:\n#' #  * change the axis labels\n#' p1 +\n#'   scale_x_continuous(\"Engine displacement (L)\") +\n#'   scale_y_continuous(\"Highway MPG\")\n#'\n#' # You can also use the short-cut labs().\n#' # Use NULL to suppress axis labels\n#' p1 + labs(x = NULL, y = NULL)\n#'\n#' #  * modify the axis limits\n#' p1 + scale_x_continuous(limits = c(2, 6))\n#' p1 + scale_x_continuous(limits = c(0, 10))\n#'\n#' # you can also use the short hand functions `xlim()` and `ylim()`\n#' p1 + xlim(2, 6)\n#'\n#' #  * choose where the ticks appear\n#' p1 + scale_x_continuous(breaks = c(2, 4, 6))\n#'\n#' #  * choose your own labels\n#' p1 + scale_x_continuous(\n#'   breaks = c(2, 4, 6),\n#'   label = c(\"two\", \"four\", \"six\")\n#' )\n#'\n#' # Typically you'll pass a function to the `labels` argument.\n#' # Some common formats are built into the scales package:\n#' df <- data.frame(\n#'   x = rnorm(10) * 100000,\n#'   y = seq(0, 1, length.out = 10)\n#' )\n#' p2 <- ggplot(df, aes(x, y)) + geom_point()\n#' p2 + scale_y_continuous(labels = scales::percent)\n#' p2 + scale_y_continuous(labels = scales::dollar)\n#' p2 + scale_x_continuous(labels = scales::comma)\n#'\n#' # You can also override the default linear mapping by using a\n#' # transformation. There are three shortcuts:\n#' p1 + scale_y_log10()\n#' p1 + scale_y_sqrt()\n#' p1 + scale_y_reverse()\n#'\n#' # Or you can supply a transformation in the `trans` argument:\n#' p1 + scale_y_continuous(trans = scales::reciprocal_trans())\n#'\n#' # You can also create your own. See ?scales::trans_new\n#'\n#' @name scale_continuous\n#' @aliases NULL\nNULL\n\n#' @rdname scale_continuous\n#'\n#' @param sec.axis specify a secondary axis\n#'\n#' @seealso [sec_axis()] for how to specify secondary axes\n#' @export\nscale_x_continuous <- function(name = waiver(), breaks = waiver(),\n                               minor_breaks = waiver(), labels = waiver(),\n                               limits = NULL, expand = waiver(), oob = censor,\n                               na.value = NA_real_, trans = \"identity\",\n                               position = \"bottom\", sec.axis = waiver()) {\n  sc <- continuous_scale(\n    c(\"x\", \"xmin\", \"xmax\", \"xend\", \"xintercept\", \"xmin_final\", \"xmax_final\", \"xlower\", \"xmiddle\", \"xupper\", \"x0\"),\n    \"position_c\", identity, name = name, breaks = breaks,\n    minor_breaks = minor_breaks, labels = labels, limits = limits,\n    expand = expand, oob = oob, na.value = na.value, trans = trans,\n    guide = \"none\", position = position, super = ScaleContinuousPosition\n  )\n\n  set_sec_axis(sec.axis, sc)\n\n}\n\n#' @rdname scale_continuous\n#' @export\nscale_y_continuous <- function(name = waiver(), breaks = waiver(),\n                               minor_breaks = waiver(), labels = waiver(),\n                               limits = NULL, expand = waiver(), oob = censor,\n                               na.value = NA_real_, trans = \"identity\",\n                               position = \"left\", sec.axis = waiver()) {\n  sc <- continuous_scale(\n    c(\"y\", \"ymin\", \"ymax\", \"yend\", \"yintercept\", \"ymin_final\", \"ymax_final\", \"lower\", \"middle\", \"upper\", \"y0\"),\n    \"position_c\", identity, name = name, breaks = breaks,\n    minor_breaks = minor_breaks, labels = labels, limits = limits,\n    expand = expand, oob = oob, na.value = na.value, trans = trans,\n    guide = \"none\", position = position, super = ScaleContinuousPosition\n  )\n\n  set_sec_axis(sec.axis, sc)\n}\n\n\n#' @rdname ggplot2-ggproto\n#' @format NULL\n#' @usage NULL\n#' @export\nScaleContinuousPosition <- ggproto(\"ScaleContinuousPosition\", ScaleContinuous,\n  secondary.axis = waiver(),\n  # Position aesthetics don't map, because the coordinate system takes\n  # care of it. But they do need to be made in to doubles, so stat methods\n  # can tell the difference between continuous and discrete data.\n  map = function(self, x, limits = self$get_limits()) {\n    scaled <- as.numeric(self$oob(x, limits))\n    ifelse(!is.na(scaled), scaled, self$na.value)\n  },\n  break_info = function(self, range = NULL) {\n    breaks <- ggproto_parent(ScaleContinuous, self)$break_info(range)\n    if (!(is.waive(self$secondary.axis) || self$secondary.axis$empty())) {\n      self$secondary.axis$init(self)\n      breaks <- c(breaks, self$secondary.axis$break_info(breaks$range, self))\n    }\n    breaks\n  },\n  sec_name = function(self) {\n    if (is.waive(self$secondary.axis)) {\n      waiver()\n    } else {\n      self$secondary.axis$name\n    }\n  },\n  make_sec_title = function(self, title) {\n    if (!is.waive(self$secondary.axis)) {\n      self$secondary.axis$make_title(title)\n    } else {\n      ggproto_parent(ScaleContinuous, self)$make_sec_title(title)\n    }\n  }\n)\n\n# Transformed scales ---------------------------------------------------------\n\n#' @rdname scale_continuous\n#' @export\nscale_x_log10 <- function(...) {\n  scale_x_continuous(..., trans = log10_trans())\n}\n#' @rdname scale_continuous\n#' @export\nscale_y_log10 <- function(...) {\n  scale_y_continuous(..., trans = log10_trans())\n}\n#' @rdname scale_continuous\n#' @export\nscale_x_reverse <- function(...) {\n  scale_x_continuous(..., trans = reverse_trans())\n}\n#' @rdname scale_continuous\n#' @export\nscale_y_reverse <- function(...) {\n  scale_y_continuous(..., trans = reverse_trans())\n}\n#' @rdname scale_continuous\n#' @export\nscale_x_sqrt <- function(...) {\n  scale_x_continuous(..., trans = sqrt_trans())\n}\n#' @rdname scale_continuous\n#' @export\nscale_y_sqrt <- function(...) {\n  scale_y_continuous(..., trans = sqrt_trans())\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/scale-continuous.r"},{"filename":"ggplot2/R/compat-plyr.R","content":"#' Adds missing elements to a vector from a default vector\n#'\n#' This function appends a given named vector or list with additional elements\n#' from a default vector, only adding those that does not already exist in the\n#' first.\n#'\n#' @param x,y Named vectors or lists\n#'\n#' @return `x` with missing values from `y` appended\n#'\n#' @keywords internal\n#' @noRd\n#'\ndefaults <- function(x, y) c(x, y[setdiff(names(y), names(x))])\n# Remove rownames from data frames and matrices\nunrowname <- function(x) {\n  if (is.data.frame(x)) {\n    attr(x, \"row.names\") <- .set_row_names(.row_names_info(x, 2L))\n  } else if (is.matrix(x)) {\n    dimnames(x)[1] <- list(NULL)\n  } else {\n    stop(\"Can only remove rownames from data.frame and matrix objects\", call. = FALSE)\n  }\n  x\n}\n#' Rename elements in a list, data.frame or vector\n#'\n#' This is akin to `dplyr::rename` and `plyr::rename`. It renames elements given\n#' as names in the `replace` vector to the values in the `replace` vector\n#' without touching elements not referenced.\n#'\n#' @param x A data.frame or a named vector or list\n#' @param replace A named character vector. The names identifies the elements in\n#' `x` that should be renamed and the values gives the new names.\n#'\n#' @return `x`, with new names according to `replace`\n#'\n#' @keywords internal\n#' @noRd\n#'\nrename <- function(x, replace) {\n  current_names <- names(x)\n  old_names <- names(replace)\n  missing_names <- setdiff(old_names, current_names)\n  if (length(missing_names) > 0) {\n    replace <- replace[!old_names %in% missing_names]\n    old_names <- names(replace)\n  }\n  names(x)[match(old_names, current_names)] <- as.vector(replace)\n  x\n}\n# Adapted from plyr:::id_vars\n# Create a unique id for elements in a single vector\nid_var <- function(x, drop = FALSE) {\n  if (length(x) == 0) {\n    id <- integer()\n    n = 0L\n  } else if (!is.null(attr(x, \"n\")) && !drop) {\n    return(x)\n  } else if (is.factor(x) && !drop) {\n    x <- addNA(x, ifany = TRUE)\n    id <- as.integer(x)\n    n <- length(levels(x))\n  } else {\n    levels <- sort(unique(x), na.last = TRUE)\n    id <- match(x, levels)\n    n <- max(id)\n  }\n  attr(id, \"n\") <- n\n  id\n}\n#' Create an unique integer id for each unique row in a data.frame\n#'\n#' Properties:\n#' - `order(id)` is equivalent to `do.call(order, df)`\n#' - rows containing the same data have the same value\n#' - if `drop = FALSE` then room for all possibilites\n#'\n#' @param .variables list of variables\n#' @param drop Should unused factor levels be dropped?\n#'\n#' @return An integer vector with attribute `n` giving the total number of\n#' possible unique rows\n#'\n#' @keywords internal\n#' @noRd\n#'\nid <- function(.variables, drop = FALSE) {\n  nrows <- NULL\n  if (is.data.frame(.variables)) {\n    nrows <- nrow(.variables)\n    .variables <- unclass(.variables)\n  }\n  lengths <- vapply(.variables, length, integer(1))\n  .variables <- .variables[lengths != 0]\n  if (length(.variables) == 0) {\n    n <- nrows %||% 0L\n    id <- seq_len(n)\n    attr(id, \"n\") <- n\n    return(id)\n  }\n  if (length(.variables) == 1) {\n    return(id_var(.variables[[1]], drop = drop))\n  }\n  ids <- rev(lapply(.variables, id_var, drop = drop))\n  p <- length(ids)\n  ndistinct <- vapply(ids, attr, \"n\", FUN.VALUE = numeric(1), USE.NAMES = FALSE)\n  n <- prod(ndistinct)\n  if (n > 2^31) {\n    char_id <- do.call(\"paste\", c(ids, sep = \"\\r\"))\n    res <- match(char_id, unique(char_id))\n  }\n  else {\n    combs <- c(1, cumprod(ndistinct[-p]))\n    mat <- do.call(\"cbind\", ids)\n    res <- c((mat - 1L) %*% combs + 1L)\n  }\n  if (drop) {\n    id_var(res, drop = TRUE)\n  }\n  else {\n    res <- as.integer(res)\n    attr(res, \"n\") <- n\n    res\n  }\n}\n#' Count number of occurences for each unique combination of variables\n#'\n#' Each unique combination of the variables in `df` given by `vars` will be\n#' identified and their occurences counted. If `wt_var` is given the counts will\n#' be weighted by the values in this column.\n#'\n#' @param df A data.frame\n#' @param vars A vector of column names. If `NULL` all columns in `df` will be\n#' used\n#' @param wt_var The name of a column to use as weight\n#'\n#' @return A data.frame with the unique combinations counted along with a `n`\n#' column giving the counts\n#'\n#' @keywords internal\n#' @noRd\n#'\ncount <- function(df, vars = NULL, wt_var = NULL) {\n  df2 <- if (is.null(vars)) df else df[vars]\n  id <- id(df2, drop = TRUE)\n  u_id <- !duplicated(id)\n  labels <- df2[u_id, , drop = FALSE]\n  labels <- labels[order(id[u_id]), , drop = FALSE]\n  if (is.null(wt_var)) {\n    freq <- tabulate(id, attr(id, \"n\"))\n  } else {\n    wt <- .subset2(df, wt_var)\n    freq <- vapply(split(wt, id), sum, numeric(1))\n  }\n  new_data_frame(c(as.list(labels), list(n = freq)))\n}\n# Adapted from plyr::join.keys\n# Create a shared unique id across two data frames such that common variable\n# combinations in the two data frames gets the same id\njoin_keys <- function(x, y, by) {\n  joint <- rbind_dfs(list(x[by], y[by]))\n  keys <- id(joint, drop = TRUE)\n  n_x <- nrow(x)\n  n_y <- nrow(y)\n  list(x = keys[seq_len(n_x)], y = keys[n_x + seq_len(n_y)],\n       n = attr(keys, \"n\"))\n}\n#' Replace specified values with new values, in a factor or character vector\n#'\n#' An easy to use substitution of elements in a string-like vector (character or\n#' factor). If `x` is a character vector the matching elements will be replaced\n#' directly and if `x` is a factor the matching levels will be replaced\n#'\n#' @param x A character or factor vector\n#' @param replace A named character vector with the names corresponding to the\n#' elements to replace and the values giving the replacement.\n#'\n#' @return A vector of the same class as `x` with the given values replaced\n#'\n#' @keywords internal\n#' @noRd\n#'\nrevalue <- function(x, replace) {\n  if (is.character(x)) {\n    replace <- replace[names(replace) %in% x]\n    if (length(replace) == 0) return(x)\n    x[match(names(replace), x)] <- replace\n  } else if (is.factor(x)) {\n    lev <- levels(x)\n    replace <- replace[names(replace) %in% lev]\n    if (length(replace) == 0) return(x)\n    lev[match(names(replace), lev)] <- replace\n    levels(x) <- lev\n  } else if (!is.null(x)) {\n    stop(\"x is not a factor or character vector\", call. = FALSE)\n  }\n  x\n}\n# Iterate through a formula and return a quoted version\nsimplify_formula <- function(x) {\n  if (length(x) == 2 && x[[1]] == as.name(\"~\")) {\n    return(simplify(x[[2]]))\n  }\n  if (length(x) < 3)\n    return(list(x))\n  op <- x[[1]]\n  a <- x[[2]]\n  b <- x[[3]]\n  if (op == as.name(\"+\") || op == as.name(\"*\") || op ==\n      as.name(\"~\")) {\n    c(simplify(a), simplify(b))\n  }\n  else if (op == as.name(\"-\")) {\n    c(simplify(a), bquote(-.(x), list(x = simplify(b))))\n  }\n  else {\n    list(x)\n  }\n}\n#' Create a quoted version of x\n#'\n#' This function captures the special meaning of formulas in the context of\n#' facets in ggplot2, where `+` have special meaning. It works as\n#' `plyr::as.quoted` but only for the special cases of `character`, `call`, and\n#' `formula` input as these are the only situations relevant for ggplot2.\n#'\n#' @param x A formula, string, or call to be quoted\n#' @param env The environment to a attach to the quoted expression.\n#'\n#' @keywords internal\n#' @noRd\n#'\nas.quoted <- function(x, env = parent.frame()) {\n  x <- if (is.character(x)) {\n    lapply(x, function(x) parse(text = x)[[1]])\n  } else if (is.formula(x)) {\n    simplify_formula(x)\n  } else if (is.call(x)) {\n    as.list(x)[-1]\n  } else {\n    stop(\"Only knows how to quote characters, calls, and formula\", call. = FALSE)\n  }\n  attributes(x) <- list(env = env, class = 'quoted')\n  x\n}\n# round a number to a given precision\nround_any <- function(x, accuracy, f = round) {\n  if (!is.numeric(x)) stop(\"x must be numeric\", call. = FALSE)\n  f(x/accuracy) * accuracy\n}\n#' Bind data frames together by common column names\n#'\n#' This function is akin to `plyr::rbind.fill`, `dplyr::bind_rows`, and\n#' `data.table::rbindlist`. It takes data frames in a list and stacks them on\n#' top of each other, filling out values with `NA` if the column is missing from\n#' a data.frame\n#'\n#' @param dfs A list of data frames\n#'\n#' @return A data.frame with the union of all columns from the data frames given\n#' in `dfs`\n#'\n#' @keywords internal\n#' @noRd\n#'\nrbind_dfs <- function(dfs) {\n  out <- list()\n  columns <- unique(unlist(lapply(dfs, names)))\n  nrows <- vapply(dfs, .row_names_info, integer(1), type = 2L)\n  total <- sum(nrows)\n  if (length(columns) == 0) return(new_data_frame(list(), total))\n  allocated <- rep(FALSE, length(columns))\n  names(allocated) <- columns\n  col_levels <- list()\n  for (df in dfs) {\n    new_columns <- intersect(names(df), columns[!allocated])\n    for (col in new_columns) {\n      if (is.factor(df[[col]])) {\n        all_factors <- all(vapply(dfs, function(df) {\n          val <- .subset2(df, col)\n          is.null(val) || is.factor(val)\n        }, logical(1)))\n        if (all_factors) {\n          col_levels[[col]] <- unique(unlist(lapply(dfs, function(df) levels(.subset2(df, col)))))\n        }\n        out[[col]] <- rep(NA_character_, total)\n      } else {\n        out[[col]] <- rep(.subset2(df, col)[1][NA], total)\n      }\n    }\n    allocated[new_columns] <- TRUE\n    if (all(allocated)) break\n  }\n  pos <- c(cumsum(nrows) - nrows + 1)\n  for (i in seq_along(dfs)) {\n    df <- dfs[[i]]\n    rng <- seq(pos[i], length.out = nrows[i])\n    for (col in names(df)) {\n      if (inherits(df[[col]], 'factor')) {\n        out[[col]][rng] <- as.character(df[[col]])\n      } else {\n        out[[col]][rng] <- df[[col]]\n      }\n    }\n  }\n  for (col in names(col_levels)) {\n    out[[col]] <- factor(out[[col]], levels = col_levels[[col]])\n  }\n  attributes(out) <- list(class = \"data.frame\", names = names(out), row.names = .set_row_names(total))\n  out\n}\n#' Apply function to unique subsets of a data.frame\n#'\n#' This function is akin to `plyr::ddply`. It takes a single data.frame,\n#' splits it by the unique combinations of the columns given in `by`, apply a\n#' function to each split, and then reassembles the results into a sigle\n#' data.frame again.\n#'\n#' @param df A data.frame\n#' @param by A character vector of column names to split by\n#' @param fun A function to apply to each split\n#' @param ... Further arguments to `fun`\n#' @param drop Should unused factor levels in the columns given in `by` be\n#' dropped.\n#'\n#' @return A data.frame if the result of `fun` does not include the columns\n#' given in `by` these will be prepended to the result.\n#'\n#' @keywords internal\n#' @noRd\ndapply <- function(df, by, fun, ..., drop = TRUE) {\n  grouping_cols <- .subset(df, by)\n  ids <- id(grouping_cols, drop = drop)\n  group_rows <- split(seq_len(nrow(df)), ids)\n  rbind_dfs(lapply(seq_along(group_rows), function(i) {\n    cur_data <- df_rows(df, group_rows[[i]])\n    res <- fun(cur_data, ...)\n    if (is.null(res)) return(res)\n    if (length(res) == 0) return(new_data_frame())\n    vars <- lapply(setNames(by, by), function(col) .subset2(cur_data, col)[1])\n    if (is.matrix(res)) res <- split_matrix(res)\n    if (is.null(names(res))) names(res) <- paste0(\"V\", seq_along(res))\n    new_data_frame(modify_list(unclass(vars), unclass(res)))\n  }))\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/compat-plyr.R"},{"filename":"grid/R/just.R","content":"#  File src/library/grid/R/just.R\n#  Part of the R package, https://www.R-project.org\n#\n#  Copyright (C) 1995-2013 The R Core Team\n#\n#  This program is free software; you can redistribute it and/or modify\n#  it under the terms of the GNU General Public License as published by\n#  the Free Software Foundation; either version 2 of the License, or\n#  (at your option) any later version.\n#\n#  This program is distributed in the hope that it will be useful,\n#  but WITHOUT ANY WARRANTY; without even the implied warranty of\n#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#  GNU General Public License for more details.\n#\n#  A copy of the GNU General Public License is available at\n#  https://www.R-project.org/Licenses/\n\n# NOTE: the order of the strings in these conversion functions must\n# match the order of the enums in ../src/lattice.h\n# NOTE: the result of match() is an integer, but subtracting 1 converts\n# to real => have to convert back to integer for passing to C code\n\n# If the user specifies two values, the first is horizontal\n# justification and the second is vertical\n\n# If the user specifies only one value, use the following\n# conversion table to give a second default value\n#\n# bottom  -->  centre, bottom\n# left    -->  left,   centre\n# right   -->  right,  centre\n# top     -->  centre, top\n# centre  -->  centre, centre\n\nvalid.charjust <- function(just) {\n  if (length(just) == 1) {\n    # single value may be any valid just\n    just <- as.integer(match(just[1L], c(\"left\", \"right\", \"bottom\", \"top\",\n                                        \"centre\", \"center\")) - 1)\n    if (anyNA(just))\n      stop(\"invalid justification\")\n  } else if (length(just) > 1) {\n    # first value must be one of \"left\", \"right\", \"centre\", or \"center\"\n    just[1L] <- as.integer(match(just[1L], c(\"left\", \"right\", \"bottom\", \"top\",\n                                           \"centre\", \"center\")) - 1)\n    if (!(just[1L] %in% c(0, 1, 4, 5)))\n      stop(\"invalid horizontal justification\")\n    # second value must be one of \"bottom\", \"top\", \"centre\", or \"center\"\n    just[2L] <- as.integer(match(just[2L], c(\"left\", \"right\", \"bottom\", \"top\",\n                                           \"centre\", \"center\")) - 1)\n    if (!(just[2L] %in% c(2, 3, 4, 5)))\n      stop(\"invalid vertical justification\")\n    just <- as.integer(just)\n  }\n  # Extend to length 2 if necessary\n  if (length(just) < 2) {\n    if (length(just) == 0)\n      just <- c(4, 4)\n    else\n      just <- switch (just[1L] + 1,\n                      c(0, 4), # left\n                      c(1, 4), # right\n                      c(4, 2), # bottom\n                      c(4, 3), # top\n                      c(4, 4), # centre\n                      c(4, 4)) # center\n  }\n  # Convert to numeric\n  just <- c(switch(just[1L] + 1, 0, 1, NA, NA, 0.5, 0.5),\n            switch(just[2L] + 1, NA, NA, 0, 1, 0.5, 0.5))\n  # Final paranoid check\n  if (anyNA(just))\n    stop(\"invalid justification\")\n  just\n}\n\nvalid.numjust <- function(just) {\n  if (length(just) == 0) {\n    c(0.5, 0.5)\n  } else {\n    if (length(just) < 2) {\n      c(just, 0.5)\n    } else {\n      just\n    }\n  }\n}\n\nvalid.just <- function(just) {\n  if (is.character(just))\n    valid.charjust(just)\n  else {\n    valid.numjust(as.numeric(just))\n  }\n}\n\nresolveHJust <- function(just, hjust) {\n  if (is.null(hjust) || length(hjust) == 0)\n    valid.just(just)[1L]\n  else\n    hjust\n}\n\nresolveVJust <- function(just, vjust) {\n  if (is.null(vjust) || length(vjust) == 0)\n    valid.just(just)[2L]\n  else\n    vjust\n}","normpath":"/Users/thomas/Dropbox/GitHub/grid/R/just.R"},{"filename":"ggplot2/R/utilities.r","content":"#' @export\n#' @examples\n#' ggplot(mpg, aes(displ, hwy)) +\n#'   geom_point(alpha = 0.5, colour = \"blue\")\n#'\n#' ggplot(mpg, aes(displ, hwy)) +\n#'   geom_point(colour = alpha(\"blue\", 0.5))\nscales::alpha\n\n\"%||%\" <- function(a, b) {\n  if (!is.null(a)) a else b\n}\n\n\"%|W|%\" <- function(a, b) {\n  if (!is.waive(a)) a else b\n}\n\n# Check required aesthetics are present\n# This is used by geoms and stats to give a more helpful error message\n# when required aesthetics are missing.\n#\n# @param character vector of required aesthetics\n# @param character vector of present aesthetics\n# @param name of object for error message\n# @keyword internal\ncheck_required_aesthetics <- function(required, present, name) {\n  missing_aes <- setdiff(required, present)\n  if (length(missing_aes) == 0) return()\n\n  stop(name, \" requires the following missing aesthetics: \",\n    paste(missing_aes, collapse = \", \"), call. = FALSE)\n}\n\n# Concatenate a named list for output\n# Print a `list(a=1, b=2)` as `(a=1, b=2)`\n#\n# @param list to concatenate\n# @keyword internal\n#X clist(list(a=1, b=2))\n#X clist(par()[1:5])\nclist <- function(l) {\n  paste(paste(names(l), l, sep = \" = \", collapse = \", \"), sep = \"\")\n}\n\n\n# Test whether package `package` is available. `fun` provides\n# the name of the ggplot2 function that uses this package, and is\n# used only to produce a meaningful error message if the\n# package is not available.\ntry_require <- function(package, fun) {\n  if (requireNamespace(package, quietly = TRUE)) {\n    return(invisible())\n  }\n\n  stop(\"Package `\", package, \"` required for `\", fun , \"`.\\n\",\n    \"Please install and try again.\", call. = FALSE)\n}\n\n# Return unique columns\n# This is used for figuring out which columns are constant within a group\n#\n# @keyword internal\nuniquecols <- function(df) {\n  df <- df[1, sapply(df, function(x) length(unique(x)) == 1), drop = FALSE]\n  rownames(df) <- 1:nrow(df)\n  df\n}\n\n#' Convenience function to remove missing values from a data.frame\n#'\n#' Remove all non-complete rows, with a warning if `na.rm = FALSE`.\n#' ggplot is somewhat more accommodating of missing values than R generally.\n#' For those stats which require complete data, missing values will be\n#' automatically removed with a warning. If `na.rm = TRUE` is supplied\n#' to the statistic, the warning will be suppressed.\n#'\n#' @param df data.frame\n#' @param na.rm If true, will suppress warning message.\n#' @param vars Character vector of variables to check for missings in\n#' @param name Optional function name to improve error message.\n#' @param finite If `TRUE`, will also remove non-finite values.\n#' @keywords internal\n#' @export\nremove_missing <- function(df, na.rm = FALSE, vars = names(df), name = \"\",\n                           finite = FALSE) {\n  stopifnot(is.logical(na.rm))\n\n  vars <- intersect(vars, names(df))\n  if (name != \"\") name <- paste(\" (\", name, \")\", sep = \"\")\n\n  if (finite) {\n    missing <- !cases(df[, vars, drop = FALSE], is_finite)\n    str <- \"non-finite\"\n  } else {\n    missing <- !cases(df[, vars, drop = FALSE], is_complete)\n    str <- \"missing\"\n  }\n\n  if (any(missing)) {\n    df <- df[!missing, ]\n    if (!na.rm) {\n      warning_wrap(\n        \"Removed \", sum(missing), \" rows containing \", str, \" values\", name, \".\"\n      )\n    }\n  }\n\n  df\n}\n\n# Returns a logical vector of same length as nrow(x). If all data on a row\n# is finite (not NA, NaN, Inf, or -Inf) return TRUE; otherwise FALSE.\ncases <- function(x, fun) {\n  ok <- vapply(x, fun, logical(nrow(x)))\n\n  # Need a special case test when x has exactly one row, because rowSums\n  # doesn't respect dimensions for 1x1 matrices. vapply returns a vector (not\n  # a matrix when the input has one row.\n  if (is.vector(ok)) {\n    all(ok)\n  } else {\n    # Find all the rows where all are TRUE\n    rowSums(as.matrix(ok)) == ncol(x)\n  }\n}\n\n# Wrapper around is.finite to handle list cols\nis_finite <- function(x) {\n  if (typeof(x) == \"list\") {\n    !vapply(x, is.null, logical(1))\n  } else {\n    is.finite(x)\n  }\n}\n\nis_complete <- function(x) {\n  if (typeof(x) == \"list\") {\n    !vapply(x, is.null, logical(1))\n  } else {\n    !is.na(x)\n  }\n}\n\n\n#' Used in examples to illustrate when errors should occur.\n#'\n#' @param expr code to evaluate.\n#' @export\n#' @keywords internal\n#' @examples\n#' should_stop(stop(\"Hi!\"))\n#' should_stop(should_stop(\"Hi!\"))\nshould_stop <- function(expr) {\n  res <- try(print(force(expr)), TRUE)\n  if (!inherits(res, \"try-error\")) stop(\"No error!\", call. = FALSE)\n  invisible()\n}\n\n\n#' A waiver object.\n#'\n#' A waiver is a \"flag\" object, similar to `NULL`, that indicates the\n#' calling function should just use the default value.  It is used in certain\n#' functions to distinguish between displaying nothing (`NULL`) and\n#' displaying a default value calculated elsewhere (`waiver()`)\n#'\n#' @export\n#' @keywords internal\nwaiver <- function() structure(list(), class = \"waiver\")\n\nis.waive <- function(x) inherits(x, \"waiver\")\n\n\nrescale01 <- function(x) {\n  rng <- range(x, na.rm = TRUE)\n  (x - rng[1]) / (rng[2] - rng[1])\n}\n\n#' Similar to expand_range(), but taking a vector ‘expand’\n#' of *four* expansion values, where the 1st and 2nd\n#' elements are used for the lower limit, and the 3rd and\n#' 4th elements are used for the upper limit).\n#'\n#' The ‘expand’ argument can also be of length 2,\n#' and the expansion values for the lower limit\n#' are then reused for the upper limit.\n#\n#' @noRd\n#' @keywords internal\nexpand_range4 <- function(limits, expand) {\n   stopifnot(is.numeric(expand) && (length(expand) %in% c(2,4)))\n   # If only two expansion constants are given (i.e. the old syntax),\n   # reuse them to generate a four-element expansion vector\n   if (length(expand) == 2) { expand <- c(expand, expand) }\n\n   # Calculate separate range expansion for the lower and\n   # upper range limits, and then combine them into one vector\n   lower <- expand_range(limits, expand[1], expand[2])[1]\n   upper <- expand_range(limits, expand[3], expand[4])[2]\n   c(lower, upper)\n}\n\n#' Generate expansion vector for scales.\n#'\n#' This is a convenience function for generating scale expansion vectors\n#' for the \\code{expand} argument of\n#' \\code{\\link[=scale_x_continuous]{scale_*_continuous}} and\n#' \\code{\\link[=scale_x_discrete]{scale_*_discrete}}.\n#' The expansions vectors are used to add some space between\n#' the data and the axes.\n#'\n#' @export\n#' @param mult vector of multiplicative range expansion factors.\n#'   If length 1, both the lower and upper limits of the scale\n#'   are expanded outwards by \\code{mult}. If length 2, the lower limit\n#'   is expanded by \\code{mult[1]} and the upper limit by \\code{mult[2]}.\n#' @param add vector of additive range expansion constants.\n#'   If length 1, both the lower and upper limits of the scale\n#'   are expanded outwards by \\code{add} units. If length 2, the\n#'   lower limit is expanded by \\code{add[1]} and the upper\n#'   limit by \\code{add[2]}.\n#' @examples\n#' # No space below the bars but 10% above them\n#' ggplot(mtcars) +\n#'   geom_bar(aes(x = factor(cyl))) +\n#'   scale_y_continuous(expand = expand_scale(mult = c(0, .1)))\n#'\n#' # Add 2 units of space on the left and right of the data\n#' ggplot(subset(diamonds, carat > 2), aes(cut, clarity)) +\n#'   geom_jitter() +\n#'   scale_x_discrete(expand = expand_scale(add = 2))\n#'\n#' # Reproduce the default range expansion used\n#' # when the 'expand' argument is not specified\n#' ggplot(subset(diamonds, carat > 2), aes(cut, price)) +\n#'   geom_jitter() +\n#'   scale_x_discrete(expand = expand_scale(add = .6)) +\n#'   scale_y_continuous(expand = expand_scale(mult = .05))\nexpand_scale = function(mult = 0, add = 0) {\n  stopifnot(is.numeric(mult) && is.numeric(add))\n  stopifnot((length(mult) %in% 1:2) && (length(add) %in% 1:2))\n\n  mult <- rep(mult, length.out = 2)\n  add <- rep(add, length.out = 2)\n  c(mult[1], add[1], mult[2], add[2])\n}\n\n\n\n#' Give a deprecation error, warning, or message, depending on version number.\n#'\n#' Version numbers have the format <major>.<minor>.<subminor>, like 0.9.2.\n#' This function compares the current version number of ggplot2 against the\n#' specified `version`, which is the most recent version before the\n#' function (or other object) was deprecated.\n#'\n#' `gg_dep` will give an error, warning, or message, depending on the\n#' difference between the current ggplot2 version and the specified\n#' `version`.\n#'\n#' If the current major number is greater than `version`'s major number,\n#' or if the current minor number is more than 1 greater than `version`'s\n#' minor number, give an error.\n#'\n#' If the current minor number differs from `version`'s minor number by\n#' one, give a warning.\n#'\n#' If the current subminor number differs from `version`'s subminor\n#' number, print a message.\n#'\n#' @param version The last version of ggplot2 where this function was good\n#'   (in other words, the last version where it was not deprecated).\n#' @param msg The message to print.\n#' @keywords internal\n#' @export\ngg_dep <- function(version, msg) {\n  v <- as.package_version(version)\n  cv <- utils::packageVersion(\"ggplot2\")\n\n  # If current major number is greater than last-good major number, or if\n  #  current minor number is more than 1 greater than last-good minor number,\n  #  give error.\n  if (cv[[1,1]] > v[[1,1]]  ||  cv[[1,2]] > v[[1,2]] + 1) {\n    stop(msg, \" (Defunct; last used in version \", version, \")\",\n      call. = FALSE)\n\n  # If minor number differs by one, give warning\n  } else if (cv[[1,2]] > v[[1,2]]) {\n    warning(msg, \" (Deprecated; last used in version \", version, \")\",\n      call. = FALSE)\n\n  # If only subminor number is greater, give message\n  } else if (cv[[1,3]] > v[[1,3]]) {\n    message(msg, \" (Deprecated; last used in version \", version, \")\")\n  }\n\n  invisible()\n}\n\nhas_name <- function(x) {\n  nms <- names(x)\n  if (is.null(nms)) {\n    return(rep(FALSE, length(x)))\n  }\n\n  !is.na(nms) & nms != \"\"\n}\n\n# Use chartr() for safety since toupper() fails to convert i to I in Turkish locale\nlower_ascii <- \"abcdefghijklmnopqrstuvwxyz\"\nupper_ascii <- \"ABCDEFGHIJKLMNOPQRSTUVWXYZ\"\nto_lower_ascii <- function(x) chartr(upper_ascii, lower_ascii, x)\nto_upper_ascii <- function(x) chartr(lower_ascii, upper_ascii, x)\n\ntolower <- function(x) {\n  stop('Please use `to_lower_ascii()`, which works fine in all locales.', call. = FALSE)\n}\n\ntoupper <- function(x) {\n  stop('Please use `to_upper_ascii()`, which works fine in all locales.', call. = FALSE)\n}\n\n# Convert a snake_case string to camelCase\ncamelize <- function(x, first = FALSE) {\n  x <- gsub(\"_(.)\", \"\\\\U\\\\1\", x, perl = TRUE)\n  if (first) x <- firstUpper(x)\n  x\n}\n\nsnakeize <- function(x) {\n  x <- gsub(\"([A-Za-z])([A-Z])([a-z])\", \"\\\\1_\\\\2\\\\3\", x)\n  x <- gsub(\".\", \"_\", x, fixed = TRUE)\n  x <- gsub(\"([a-z])([A-Z])\", \"\\\\1_\\\\2\", x)\n  to_lower_ascii(x)\n}\n\nfirstUpper <- function(s) {\n  paste0(to_upper_ascii(substring(s, 1, 1)), substring(s, 2))\n}\n\nsnake_class <- function(x) {\n  snakeize(class(x)[1])\n}\n#' Is a data.frame empty\n#'\n#' An empty data.frame is defined as either `NULL` or a data.frame with zero\n#' rows or columns\n#'\n#' @param df A data.frame or `NULL`\n#'\n#' @keywords internal\n#' @export\nempty <- function(df) {\n  is.null(df) || nrow(df) == 0 || ncol(df) == 0\n}\n\nis.discrete <- function(x) {\n  is.factor(x) || is.character(x) || is.logical(x)\n}\n\ncompact <- function(x) {\n  null <- vapply(x, is.null, logical(1))\n  x[!null]\n}\n\nis.formula <- function(x) inherits(x, \"formula\")\n\ndeparse2 <- function(x) {\n  y <- deparse(x, backtick = TRUE)\n  if (length(y) == 1) {\n    y\n  } else {\n    paste0(y[[1]], \"...\")\n  }\n}\n\nmessage_wrap <- function(...) {\n  msg <- paste(..., collapse = \"\", sep = \"\")\n  wrapped <- strwrap(msg, width = getOption(\"width\") - 2)\n  message(paste0(wrapped, collapse = \"\\n\"))\n}\n\nwarning_wrap <- function(...) {\n  msg <- paste(..., collapse = \"\", sep = \"\")\n  wrapped <- strwrap(msg, width = getOption(\"width\") - 2)\n  warning(paste0(wrapped, collapse = \"\\n\"), call. = FALSE)\n}\n\nvar_list <- function(x) {\n  x <- encodeString(x, quote = \"`\")\n  if (length(x) > 5) {\n    x <- c(x[1:5], paste0(\"and \", length(x) - 5, \" more\"))\n  }\n\n  paste0(x, collapse = \", \")\n}\n\ndispatch_args <- function(f, ...) {\n  args <- list(...)\n  formals <- formals(f)\n  formals[names(args)] <- args\n  formals(f) <- formals\n  f\n}\n\nis_missing_arg <- function(x) identical(x, quote(expr = ))\n# Get all arguments in a function as a list. Will fail if an ellipsis argument\n# named .ignore\n# @param ... passed on in case enclosing function uses ellipsis in argument list\nfind_args <- function(...) {\n  env <- parent.frame()\n  args <- names(formals(sys.function(sys.parent(1))))\n\n  vals <- mget(args, envir = env)\n  vals <- vals[!vapply(vals, is_missing_arg, logical(1))]\n\n  modify_list(vals, list(..., `...` = NULL))\n}\n\n# Used in annotations to ensure printed even when no\n# global data\ndummy_data <- function() new_data_frame(list(x = NA), n = 1)\n\nwith_seed_null <- function(seed, code) {\n  if (is.null(seed)) {\n    code\n  } else {\n    withr::with_seed(seed, code)\n  }\n}\n\nseq_asc <- function(to, from) {\n  if (to > from) {\n    integer()\n  } else {\n    to:from\n  }\n}\n\n# Needed to trigger package loading\n#' @importFrom tibble tibble\nNULL\n\n# Check inputs with tibble but allow column vectors (see #2609 and #2374)\nas_gg_data_frame <- function(x) {\n  x <- lapply(x, validate_column_vec)\n  new_data_frame(tibble::as_tibble(x))\n}\nvalidate_column_vec <- function(x) {\n  if (is_column_vec(x)) {\n    dim(x) <- NULL\n  }\n  x\n}\nis_column_vec <- function(x) {\n  dims <- dim(x)\n  length(dims) == 2L && dims[[2]] == 1L\n}\n\n# Parse takes a vector of n lines and returns m expressions.\n# See https://github.com/tidyverse/ggplot2/issues/2864 for discussion.\n#\n# parse(text = c(\"alpha\", \"\", \"gamma\"))\n# #> expression(alpha, gamma)\n#\n# parse_safe(text = c(\"alpha\", \"\", \"gamma\"))\n# #> expression(alpha, NA, gamma)\n#\nparse_safe <- function(text) {\n  stopifnot(is.character(text))\n  out <- vector(\"expression\", length(text))\n  for (i in seq_along(text)) {\n    expr <- parse(text = text[[i]])\n    out[[i]] <- if (length(expr) == 0) NA else expr[[1]]\n  }\n  out\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/utilities.r"},{"filename":"grid/R/layout.R","content":"#  File src/library/grid/R/layout.R\n#  Part of the R package, https://www.R-project.org\n#\n#  Copyright (C) 1995-2016 The R Core Team\n#\n#  This program is free software; you can redistribute it and/or modify\n#  it under the terms of the GNU General Public License as published by\n#  the Free Software Foundation; either version 2 of the License, or\n#  (at your option) any later version.\n#\n#  This program is distributed in the hope that it will be useful,\n#  but WITHOUT ANY WARRANTY; without even the implied warranty of\n#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n#  GNU General Public License for more details.\n#\n#  A copy of the GNU General Public License is available at\n#  https://www.R-project.org/Licenses/\n\n\nis.layout <- function(l) {\n  inherits(l, \"layout\")\n}\n\n# FIXME:  The internal C code now does a lot of recycling of\n# unit values, units, and data.  Can some/most/all of the\n# recycling stuff below be removed ?\nvalid.layout <- function(nrow, ncol, widths, heights, respect, just) {\n  nrow <- as.integer(nrow)\n  ncol <- as.integer(ncol)\n  # make sure we're dealing with a unit object\n  if (!is.logical(respect)) {\n    respect <- as.matrix(respect)\n    if (!is.matrix(respect) || any(dim(respect) != c(nrow, ncol)))\n      stop(\"'respect' must be logical or an 'nrow' by 'ncol' matrix\")\n    }\n  if (is.matrix(respect)) {\n    respect.mat <- matrix(as.integer(respect),\n                          dim(respect)[1L],\n                          dim(respect)[2L])\n    respect <- 2\n  }\n  else respect.mat <- matrix(0L, nrow, ncol)\n\n  valid.just <- valid.just(just)\n  l <- list(nrow = nrow, ncol = ncol,\n            widths = widths, heights = heights,\n            respect = respect, valid.respect=as.integer(respect),\n            respect.mat = respect.mat,\n            just=just, valid.just=valid.just)\n  class(l) <- \"layout\"\n  l\n}\n\nlayout.torture <- function() {\n  top.vp <- viewport(y=0, height=unit(1, \"npc\") - unit(1.5, \"lines\"),\n                     just=c(\"centre\", \"bottom\"))\n  do.label <- function(label) {\n    grid.rect(y=1, height=unit(1.5, \"lines\"),\n              just=c(\"center\", \"top\"))\n    grid.text(label,\n              y=unit(1, \"npc\") - unit(1, \"lines\"),\n              gp=gpar(font=2))\n  }\n  # 1 = all relative widths and heights\n  grid.show.layout(grid.layout(3,2), vp=top.vp)\n  do.label(\"All dimensions relative -- no respect\")\n  # (1) with full respect\n  grid.show.layout(grid.layout(3,2, respect=TRUE), vp=top.vp)\n  do.label(\"All dimensions relative -- full respect\")\n  # (1) with partial respect\n  grid.show.layout(grid.layout(3,2,respect=matrix(c(1,0,0,0,0,0), 3L, 2L, TRUE)),\n                   vp=top.vp)\n  do.label(\"All dimensions relative -- only top-left cell respected\")\n  # (1) with slightly weirder partial respect\n  grid.show.layout(grid.layout(3,2,respect=matrix(c(1,0,0,0,0,1), 3L, 2L, TRUE)),\n                   vp=top.vp)\n  do.label(\"All relative -- top-left, bottom-right respected\")\n  # 2 = combination of absolute and relative widths and heights\n  grid.show.layout(grid.layout(2, 3,\n                       widths=unit(c(2,4,1), c(\"null\", \"cm\", \"null\")),\n                       heights=unit(c(6,4), c(\"cm\", \"null\"))),\n                   vp=top.vp)\n  do.label(\"Absolute and relative -- no respect\")\n  # (2) with full respect\n  grid.show.layout(grid.layout(2, 3,\n                       widths=unit(c(2,4,1), c(\"null\", \"cm\", \"null\")),\n                       heights=unit(c(6,4), c(\"cm\", \"null\")), respect=TRUE),\n                   vp=top.vp)\n  do.label(\"Absolute and relative -- full respect\")\n  # (2) with partial respect\n  grid.show.layout(grid.layout(2, 3,\n                       widths=unit(c(2,4,1), c(\"null\", \"cm\", \"null\")),\n                       heights=unit(c(6,4), c(\"cm\", \"null\")),\n                       respect=matrix(c(0,0,0,0,0,1), 2L, 3L, TRUE)),\n                   vp=top.vp)\n  do.label(\"Absolute and relative -- bottom-right respected\")\n}\n\n# Return the region allocated by the layout of the current viewport\nlayoutRegion <- function(layout.pos.row=1, layout.pos.col=1) {\n  region <- grid.Call(C_layoutRegion,\n                      # This conversion matches the vailidity check in\n                      # valid.viewport()\n                      if (is.null(layout.pos.row)) layout.pos.row\n                      else as.integer(rep(layout.pos.row, length.out=2)),\n                      if (is.null(layout.pos.col)) layout.pos.col\n                      else as.integer(rep(layout.pos.col, length.out=2)))\n  list(left=unit(region[1L], \"npc\"),\n       bottom=unit(region[2L], \"npc\"),\n       width=unit(region[3L], \"npc\"),\n       height=unit(region[4L], \"npc\"))\n}\n\n####################\n# Accessors\n####################\n\nlayout.nrow <- function(lay) {\n  lay$nrow\n}\n\nlayout.ncol <- function(lay) {\n  lay$ncol\n}\n\nlayout.widths <- function(lay) {\n  lay$widths\n}\n\nlayout.heights <- function(lay) {\n  lay$heights\n}\n\nlayout.respect <- function(lay) {\n  switch(lay$respect + 1,\n         FALSE,\n         TRUE,\n         lay$respect.mat)\n}\n\n####################\n# Public constructor function\n####################\ngrid.layout <- function (nrow = 1, ncol = 1,\n                         widths = unit(rep_len(1, ncol), \"null\"),\n                         heights = unit(rep_len(1, nrow), \"null\"),\n                         default.units = \"null\",\n                         respect = FALSE,\n                         just=\"centre\")\n{\n  if (!is.unit(widths))\n    widths <- unit(widths, default.units)\n  if (!is.unit(heights))\n    heights <- unit(heights, default.units)\n  valid.layout(nrow, ncol, widths, heights, respect, just)\n}\n\n####################\n# Utility Functions\n####################\n\ndim.layout <- function(x) {\n    c(x$nrow, x$ncol)\n}","normpath":"/Users/thomas/Dropbox/GitHub/grid/R/layout.R"},{"filename":"ggplot2/R/performance.R","content":"# Fast data.frame constructor and indexing\n# No checking, recycling etc. unless asked for\nnew_data_frame <- function(x = list(), n = NULL) {\n  if (length(x) != 0 && is.null(names(x))) stop(\"Elements must be named\", call. = FALSE)\n  lengths <- vapply(x, length, integer(1))\n  if (is.null(n)) {\n    n <- if (length(x) == 0) 0 else max(lengths)\n  }\n  for (i in seq_along(x)) {\n    if (lengths[i] == n) next\n    if (lengths[i] != 1) stop(\"Elements must equal the number of rows or 1\", call. = FALSE)\n    x[[i]] <- rep(x[[i]], n)\n  }\n\n  class(x) <- \"data.frame\"\n\n  attr(x, \"row.names\") <- .set_row_names(n)\n  x\n}\n\ndata_frame <- function(...) {\n  new_data_frame(list(...))\n}\n\ndata.frame <- function(...) {\n  stop('Please use `data_frame()` or `new_data_frame()` instead of `data.frame()` for better performance. See the vignette \"ggplot2 internal programming guidelines\" for details.', call. = FALSE)\n}\n\nsplit_matrix <- function(x, col_names = colnames(x)) {\n  force(col_names)\n  x <- lapply(seq_len(ncol(x)), function(i) x[, i])\n  if (!is.null(col_names)) names(x) <- col_names\n  x\n}\n              \nmat_2_df <- function(x, col_names = colnames(x)) {\n  new_data_frame(split_matrix(x, col_names))\n}\n\ndf_col <- function(x, name) .subset2(x, name)\n\ndf_rows <- function(x, i) {\n  new_data_frame(lapply(x, `[`, i = i))\n}\n\n# More performant modifyList without recursion\nmodify_list <- function(old, new) {\n  for (i in names(new)) old[[i]] <- new[[i]]\n  old\n}\nmodifyList <- function(...) {\n  stop('Please use `modify_list()` instead of `modifyList()` for better performance. See the vignette \"ggplot2 internal programming guidelines\" for details.', call. = FALSE)\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/performance.R"},{"filename":"ggplot2/R/aes.r","content":"#' @include utilities.r compat-plyr.R\nNULL\n\n#' Construct aesthetic mappings\n#'\n#' Aesthetic mappings describe how variables in the data are mapped to visual\n#' properties (aesthetics) of geoms. Aesthetic mappings can be set in\n#' [ggplot2()] and in individual layers.\n#'\n#' This function also standardises aesthetic names by converting `color` to `colour`\n#' (also in substrings, e.g. `point_color` to `point_colour`) and translating old style\n#' R names to ggplot names (eg. `pch` to `shape`, `cex` to `size`).\n#'\n#' @section Quasiquotation:\n#'\n#' `aes()` is a [quoting function][rlang::quotation]. This means that\n#' its inputs are quoted to be evaluated in the context of the\n#' data. This makes it easy to work with variables from the data frame\n#' because you can name those directly. The flip side is that you have\n#' to use [quasiquotation][rlang::quasiquotation] to program with\n#' `aes()`. See a tidy evaluation tutorial such as the [dplyr\n#' programming vignette](http://dplyr.tidyverse.org/articles/programming.html)\n#' to learn more about these techniques.\n#'\n#' @param x,y,... List of name value pairs giving aesthetics to map to\n#'   variables. The names for x and y aesthetics are typically omitted because\n#'   they are so common; all other aesthetics must be named.\n#' @seealso [vars()] for another quoting function designed for\n#'   faceting specifications.\n#' @return A list with class `uneval`. Components of the list are either\n#'   quosures or constants.\n#' @export\n#' @examples\n#' aes(x = mpg, y = wt)\n#' aes(mpg, wt)\n#'\n#' # You can also map aesthetics to functions of variables\n#' aes(x = mpg ^ 2, y = wt / cyl)\n#'\n#' # Or to constants\n#' aes(x = 1, colour = \"smooth\")\n#'\n#' # Aesthetic names are automatically standardised\n#' aes(col = x)\n#' aes(fg = x)\n#' aes(color = x)\n#' aes(colour = x)\n#'\n#' # aes() is passed to either ggplot() or specific layer. Aesthetics supplied\n#' # to ggplot() are used as defaults for every layer.\n#' ggplot(mpg, aes(displ, hwy)) + geom_point()\n#' ggplot(mpg) + geom_point(aes(displ, hwy))\n#'\n#' # Tidy evaluation ----------------------------------------------------\n#' # aes() automatically quotes all its arguments, so you need to use tidy\n#' # evaluation to create wrappers around ggplot2 pipelines. The\n#' # simplest case occurs when your wrapper takes dots:\n#' scatter_by <- function(data, ...) {\n#'   ggplot(data) + geom_point(aes(...))\n#' }\n#' scatter_by(mtcars, disp, drat)\n#'\n#' # If your wrapper has a more specific interface with named arguments,\n#' # you need \"enquote and unquote\":\n#' scatter_by <- function(data, x, y) {\n#'   x <- enquo(x)\n#'   y <- enquo(y)\n#'\n#'   ggplot(data) + geom_point(aes(!!x, !!y))\n#' }\n#' scatter_by(mtcars, disp, drat)\n#'\n#' # Note that users of your wrapper can use their own functions in the\n#' # quoted expressions and all will resolve as it should!\n#' cut3 <- function(x) cut_number(x, 3)\n#' scatter_by(mtcars, cut3(disp), drat)\naes <- function(x, y, ...) {\n  exprs <- rlang::enquos(x = x, y = y, ..., .ignore_empty = \"all\")\n  aes <- new_aes(exprs, env = parent.frame())\n  rename_aes(aes)\n}\n\n# Wrap symbolic objects in quosures but pull out constants out of\n# quosures for backward-compatibility\nnew_aesthetic <- function(x, env = globalenv()) {\n  if (rlang::is_quosure(x)) {\n    if (!rlang::quo_is_symbolic(x)) {\n      x <- rlang::quo_get_expr(x)\n    }\n    return(x)\n  }\n\n  if (rlang::is_symbolic(x)) {\n    x <- rlang::new_quosure(x, env = env)\n    return(x)\n  }\n\n  x\n}\nnew_aes <- function(x, env = globalenv()) {\n  stopifnot(is.list(x))\n  x <- lapply(x, new_aesthetic, env = env)\n  structure(x, class = \"uneval\")\n}\n\n#' @export\nprint.uneval <- function(x, ...) {\n  cat(\"Aesthetic mapping: \\n\")\n\n  if (length(x) == 0) {\n    cat(\"<empty>\\n\")\n  } else {\n    values <- vapply(x, rlang::quo_label, character(1))\n    bullets <- paste0(\"* \", format(paste0(\"`\", names(x), \"`\")), \" -> \", values, \"\\n\")\n\n    cat(bullets, sep = \"\")\n  }\n\n  invisible(x)\n}\n\n#' @export\n\"[.uneval\" <- function(x, i, ...) {\n  new_aes(NextMethod())\n}\n\n# If necessary coerce replacements to quosures for compatibility\n#' @export\n\"[[<-.uneval\" <- function(x, i, value) {\n  new_aes(NextMethod())\n}\n#' @export\n\"$<-.uneval\" <- function(x, i, value) {\n  # Can't use NextMethod() because of a bug in R 3.1\n  x <- unclass(x)\n  x[[i]] <- value\n  new_aes(x)\n}\n#' @export\n\"[<-.uneval\" <- function(x, i, value) {\n  new_aes(NextMethod())\n}\n\n#' Standardise aesthetic names\n#'\n#' This function standardises aesthetic names by converting `color` to `colour`\n#' (also in substrings, e.g. `point_color` to `point_colour`) and translating old style\n#' R names to ggplot names (eg. `pch` to `shape`, `cex` to `size`).\n#' @param x Character vector of aesthetics names, such as `c(\"colour\", \"size\", \"shape\")`.\n#' @return Character vector of standardised names.\n#' @keywords internal\n#' @export\nstandardise_aes_names <- function(x) {\n  # convert US to UK spelling of colour\n  x <- sub(\"color\", \"colour\", x, fixed = TRUE)\n\n  # convert old-style aesthetics names to ggplot version\n  revalue(x, ggplot_global$base_to_ggplot)\n}\n\n# x is a list of aesthetic mappings, as generated by aes()\nrename_aes <- function(x) {\n  names(x) <- standardise_aes_names(names(x))\n  duplicated_names <- names(x)[duplicated(names(x))]\n  if (length(duplicated_names) > 0L) {\n    duplicated_message <- paste0(unique(duplicated_names), collapse = \", \")\n    warning(\n      \"Duplicated aesthetics after name standardisation: \", duplicated_message, call. = FALSE\n    )\n  }\n  x\n}\n\n# Look up the scale that should be used for a given aesthetic\naes_to_scale <- function(var) {\n  var[var %in% c(\"x\", \"xmin\", \"xmax\", \"xend\", \"xintercept\")] <- \"x\"\n  var[var %in% c(\"y\", \"ymin\", \"ymax\", \"yend\", \"yintercept\")] <- \"y\"\n\n  var\n}\n\n# Figure out if an aesthetic is a position aesthetic or not\nis_position_aes <- function(vars) {\n  aes_to_scale(vars) %in% c(\"x\", \"y\")\n}\n\n#' Define aesthetic mappings programmatically\n#'\n#' Aesthetic mappings describe how variables in the data are mapped to visual\n#' properties (aesthetics) of geoms. [aes()] uses non-standard\n#' evaluation to capture the variable names. `aes_` and `aes_string`\n#' require you to explicitly quote the inputs either with `\"\"` for\n#' `aes_string()`, or with `quote` or `~` for `aes_()`.\n#' (`aes_q` is an alias to `aes_`). This makes `aes_` and\n#' `aes_string` easy to program with.\n#'\n#' `aes_string` and `aes_` are particularly useful when writing\n#' functions that create plots because you can use strings or quoted\n#' names/calls to define the aesthetic mappings, rather than having to use\n#' [substitute()] to generate a call to `aes()`.\n#'\n#' I recommend using `aes_()`, because creating the equivalents of\n#' `aes(colour = \"my colour\")` or \\code{aes{x = `X$1`}}\n#' with `aes_string()` is quite clunky.\n#'\n#'\n#' @section Life cycle:\n#'\n#' All these functions are soft-deprecated. Please use tidy evaluation\n#' idioms instead (see the quasiquotation section in\n#' [aes()] documentation).\n#'\n#' @param x,y,... List of name value pairs. Elements must be either\n#'   quoted calls, strings, one-sided formulas or constants.\n#' @seealso [aes()]\n#' @export\n#' @examples\n#' # Three ways of generating the same aesthetics\n#' aes(mpg, wt, col = cyl)\n#' aes_(quote(mpg), quote(wt), col = quote(cyl))\n#' aes_(~mpg, ~wt, col = ~cyl)\n#' aes_string(\"mpg\", \"wt\", col = \"cyl\")\n#'\n#' # You can't easily mimic these calls with aes_string\n#' aes(`$100`, colour = \"smooth\")\n#' aes_(~ `$100`, colour = \"smooth\")\n#' # Ok, you can, but it requires a _lot_ of quotes\n#' aes_string(\"`$100`\", colour = '\"smooth\"')\n#'\n#' # Convert strings to names with as.name\n#' var <- \"cyl\"\n#' aes(col = x)\n#' aes_(col = as.name(var))\naes_ <- function(x, y, ...) {\n  mapping <- list(...)\n  if (!missing(x)) mapping[\"x\"] <- list(x)\n  if (!missing(y)) mapping[\"y\"] <- list(y)\n\n  caller_env <- parent.frame()\n\n  as_quosure_aes <- function(x) {\n    if (is.formula(x) && length(x) == 2) {\n      rlang::as_quosure(x)\n    } else if (is.call(x) || is.name(x) || is.atomic(x)) {\n      new_aesthetic(x, caller_env)\n    } else {\n      stop(\"Aesthetic must be a one-sided formula, call, name, or constant.\",\n        call. = FALSE)\n    }\n  }\n  mapping <- lapply(mapping, as_quosure_aes)\n  structure(rename_aes(mapping), class = \"uneval\")\n}\n\n#' @rdname aes_\n#' @export\naes_string <- function(x, y, ...) {\n  mapping <- list(...)\n  if (!missing(x)) mapping[\"x\"] <- list(x)\n  if (!missing(y)) mapping[\"y\"] <- list(y)\n\n  caller_env <- parent.frame()\n  mapping <- lapply(mapping, function(x) {\n    if (is.character(x)) {\n      x <- rlang::parse_expr(x)\n    }\n    new_aesthetic(x, env = caller_env)\n  })\n\n  structure(rename_aes(mapping), class = \"uneval\")\n}\n\n#' @export\n#' @rdname aes_\naes_q <- aes_\n\n#' Given a character vector, create a set of identity mappings\n#'\n#' @param vars vector of variable names\n#' @keywords internal\n#' @export\n#' @examples\n#' aes_all(names(mtcars))\n#' aes_all(c(\"x\", \"y\", \"col\", \"pch\"))\naes_all <- function(vars) {\n  names(vars) <- vars\n  vars <- rename_aes(vars)\n\n  # Quosure the symbols in the empty environment because they can only\n  # refer to the data mask\n  structure(\n    lapply(vars, function(x) rlang::new_quosure(as.name(x), emptyenv())),\n    class = \"uneval\"\n  )\n}\n\n#' Automatic aesthetic mapping\n#'\n#' @param data data.frame or names of variables\n#' @param ... aesthetics that need to be explicitly mapped.\n#' @keywords internal\n#' @export\naes_auto <- function(data = NULL, ...) {\n  warning(\"aes_auto() is deprecated\", call. = FALSE)\n\n  # detect names of data\n  if (is.null(data)) {\n    stop(\"aes_auto requires data.frame or names of data.frame.\")\n  } else if (is.data.frame(data)) {\n    vars <- names(data)\n  } else {\n    vars <- data\n  }\n\n  # automatically detected aes\n  vars <- intersect(ggplot_global$all_aesthetics, vars)\n  names(vars) <- vars\n  aes <- lapply(vars, function(x) parse(text = x)[[1]])\n\n  # explicitly defined aes\n  if (length(match.call()) > 2) {\n    args <- as.list(match.call()[-1])\n    aes <- c(aes, args[names(args) != \"data\"])\n  }\n\n  structure(rename_aes(aes), class = \"uneval\")\n}\n\nmapped_aesthetics <- function(x) {\n  if (is.null(x)) {\n    return(NULL)\n  }\n\n  is_null <- vapply(x, is.null, logical(1))\n  names(x)[!is_null]\n}","normpath":"/Users/thomas/Dropbox/GitHub/ggplot2/R/aes.r"}],"prof_output":"/var/folders/wq/20rfm4212kx8fdtc4q_bvfd00000gn/T//RtmpviEvuY/filec1906a969f71.prof","highlight":{"output":["^output\\$"],"gc":["^<GC>$"],"stacktrace":["^\\.\\.stacktraceo(n|ff)\\.\\.$"]},"split":"h"}},"evals":[],"jsHooks":[]}</script>
<p>The use of an empty ggplot2 ensures that the profile is based on real-life use and includes complex gtable assembly. Profiles for old version are kept for reference and can be accessed at the <a href="https://github.com/r-lib/gtable/tree/master/vignettes/profilings">github repository</a>. Care should be taken in not comparing profiles across versions, as changes to code outside of gtable can have profound effect on the results. Thus, the intend of profiling is to identify bottlenecks in the implementation that are ripe for improvement, more then to quantify improvements to performance over time.</p>
<div id="performance-focused-changes-across-versions" class="section level2">
<h2>Performance focused changes across versions</h2>
<p>To keep track of changes focused on improving the performance of gtable they are summarised below:</p>
<div id="v0.3.0" class="section level3">
<h3>v0.3.0</h3>
<p>Profiling results from gtable v0.2.0 identified a range of areas that could be easily improved by fairly small code changes. These changes resulted in roughly 20% decrease in running time on the profiling code in general, while gtable related functions were between 50 and 80% decrease in running time specifically.</p>
<ul>
<li><strong><code>data.frame</code> construction and indexing.</strong> gtable now includes a minimal constructor that makes no input checking used for working with the layout data frame. Further, indexing into the layout data frame has been improved by either treating as a list internally or directly calling <code>.subset2</code></li>
<li><strong>Input validation.</strong> <code>stopifnot()</code> was identified as a bottleneck and has removed in favor of a standard <code>if (...) stop()</code></li>
<li><strong>Dimension querying.</strong> The use of <code>nrow()</code> and <code>ncol()</code> has internally been substituted for direct calls to <code>length()</code> of the <code>heights</code> and <code>widths</code> unit vectors</li>
</ul>
</div>
</div>

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