EVOLUTION-MANAGER
Edit File: geom_qq.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: A quantile-quantile plot</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for geom_qq_line {ggplot2}"><tr><td>geom_qq_line {ggplot2}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>A quantile-quantile plot</h2> <h3>Description</h3> <p><code>geom_qq()</code> and <code>stat_qq()</code> produce quantile-quantile plots. <code>geom_qq_line()</code> and <code>stat_qq_line()</code> compute the slope and intercept of the line connecting the points at specified quartiles of the theoretical and sample distributions. </p> <h3>Usage</h3> <pre> geom_qq_line( mapping = NULL, data = NULL, geom = "path", position = "identity", ..., distribution = stats::qnorm, dparams = list(), line.p = c(0.25, 0.75), fullrange = FALSE, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) stat_qq_line( mapping = NULL, data = NULL, geom = "path", position = "identity", ..., distribution = stats::qnorm, dparams = list(), line.p = c(0.25, 0.75), fullrange = FALSE, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) geom_qq( mapping = NULL, data = NULL, geom = "point", position = "identity", ..., distribution = stats::qnorm, dparams = list(), na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) stat_qq( mapping = NULL, data = NULL, geom = "point", position = "identity", ..., distribution = stats::qnorm, dparams = list(), na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>mapping</code></td> <td> <p>Set of aesthetic mappings created by <code><a href="aes.html">aes()</a></code> or <code><a href="aes_.html">aes_()</a></code>. If specified and <code>inherit.aes = TRUE</code> (the default), it is combined with the default mapping at the top level of the plot. You must supply <code>mapping</code> if there is no plot mapping.</p> </td></tr> <tr valign="top"><td><code>data</code></td> <td> <p>The data to be displayed in this layer. There are three options: </p> <p>If <code>NULL</code>, the default, the data is inherited from the plot data as specified in the call to <code><a href="ggplot.html">ggplot()</a></code>. </p> <p>A <code>data.frame</code>, or other object, will override the plot data. All objects will be fortified to produce a data frame. See <code><a href="fortify.html">fortify()</a></code> for which variables will be created. </p> <p>A <code>function</code> will be called with a single argument, the plot data. The return value must be a <code>data.frame</code>, and will be used as the layer data. A <code>function</code> can be created from a <code>formula</code> (e.g. <code>~ head(.x, 10)</code>).</p> </td></tr> <tr valign="top"><td><code>geom</code></td> <td> <p>The geometric object to use display the data</p> </td></tr> <tr valign="top"><td><code>position</code></td> <td> <p>Position adjustment, either as a string, or the result of a call to a position adjustment function.</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>Other arguments passed on to <code><a href="layer.html">layer()</a></code>. These are often aesthetics, used to set an aesthetic to a fixed value, like <code>colour = "red"</code> or <code>size = 3</code>. They may also be parameters to the paired geom/stat.</p> </td></tr> <tr valign="top"><td><code>distribution</code></td> <td> <p>Distribution function to use, if x not specified</p> </td></tr> <tr valign="top"><td><code>dparams</code></td> <td> <p>Additional parameters passed on to <code>distribution</code> function.</p> </td></tr> <tr valign="top"><td><code>line.p</code></td> <td> <p>Vector of quantiles to use when fitting the Q-Q line, defaults defaults to <code>c(.25, .75)</code>.</p> </td></tr> <tr valign="top"><td><code>fullrange</code></td> <td> <p>Should the q-q line span the full range of the plot, or just the data</p> </td></tr> <tr valign="top"><td><code>na.rm</code></td> <td> <p>If <code>FALSE</code>, the default, missing values are removed with a warning. If <code>TRUE</code>, missing values are silently removed.</p> </td></tr> <tr valign="top"><td><code>show.legend</code></td> <td> <p>logical. Should this layer be included in the legends? <code>NA</code>, the default, includes if any aesthetics are mapped. <code>FALSE</code> never includes, and <code>TRUE</code> always includes. It can also be a named logical vector to finely select the aesthetics to display.</p> </td></tr> <tr valign="top"><td><code>inherit.aes</code></td> <td> <p>If <code>FALSE</code>, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. <code><a href="borders.html">borders()</a></code>.</p> </td></tr> </table> <h3>Aesthetics</h3> <p><code>stat_qq()</code> understands the following aesthetics (required aesthetics are in bold): </p> <ul> <li> <p><strong><code>sample</code></strong> </p> </li> <li> <p><code>group</code> </p> </li> <li> <p><code>x</code> </p> </li> <li> <p><code>y</code> </p> </li></ul> <p>Learn more about setting these aesthetics in <code>vignette("ggplot2-specs")</code>. </p> <p><code>stat_qq_line()</code> understands the following aesthetics (required aesthetics are in bold): </p> <ul> <li> <p><strong><code>sample</code></strong> </p> </li> <li> <p><code>group</code> </p> </li> <li> <p><code>x</code> </p> </li> <li> <p><code>y</code> </p> </li></ul> <p>Learn more about setting these aesthetics in <code>vignette("ggplot2-specs")</code>. </p> <h3>Computed variables</h3> <p>Variables computed by <code>stat_qq</code>: </p> <dl> <dt>sample</dt><dd><p>sample quantiles</p> </dd> <dt>theoretical</dt><dd><p>theoretical quantiles</p> </dd> </dl> <p>Variables computed by <code>stat_qq_line</code>: </p> <dl> <dt>x</dt><dd><p>x-coordinates of the endpoints of the line segment connecting the points at the chosen quantiles of the theoretical and the sample distributions</p> </dd> <dt>y</dt><dd><p>y-coordinates of the endpoints</p> </dd> </dl> <h3>Examples</h3> <pre> df <- data.frame(y = rt(200, df = 5)) p <- ggplot(df, aes(sample = y)) p + stat_qq() + stat_qq_line() # Use fitdistr from MASS to estimate distribution params params <- as.list(MASS::fitdistr(df$y, "t")$estimate) ggplot(df, aes(sample = y)) + stat_qq(distribution = qt, dparams = params["df"]) + stat_qq_line(distribution = qt, dparams = params["df"]) # Using to explore the distribution of a variable ggplot(mtcars, aes(sample = mpg)) + stat_qq() + stat_qq_line() ggplot(mtcars, aes(sample = mpg, colour = factor(cyl))) + stat_qq() + stat_qq_line() </pre> <hr /><div style="text-align: center;">[Package <em>ggplot2</em> version 3.3.2 <a href="00Index.html">Index</a>]</div> </body></html>