EVOLUTION-MANAGER
Edit File: geom_vridgeline.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: Plot a vertical ridgeline (ridgeline rotated 90 degrees)</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_vridgeline {ggridges}"><tr><td>geom_vridgeline {ggridges}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Plot a vertical ridgeline (ridgeline rotated 90 degrees)</h2> <h3>Description</h3> <p>Plots the sum of the <code>x</code> and <code>width</code> aesthetics versus <code>y</code>, filling the area between <code>x</code> and <code>x + width</code> with a color. Just like <code><a href="geom_ridgeline.html">geom_ridgeline()</a></code>, but with y and x replaced. </p> <h3>Usage</h3> <pre> geom_vridgeline( mapping = NULL, data = NULL, stat = "identity", position = "identity", 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="../../ggplot2/html/aes.html">aes()</a></code> or <code><a href="../../ggplot2/html/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="../../ggplot2/html/ggplot.html">ggplot()</a></code>. </p> <p>A <code>data.frame</code>, or other object, will override the plot data. </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.</p> </td></tr> <tr valign="top"><td><code>stat</code></td> <td> <p>The statistical transformation to use on the data for this layer, as a string.</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>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.</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.</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>other arguments passed on to <code><a href="../../ggplot2/html/layer.html">layer()</a></code>. These are often aesthetics, used to set an aesthetic to a fixed value, like <code>color = "red"</code> or <code>size = 3</code>. They may also be parameters to the paired geom/stat.</p> </td></tr> </table> <h3>Aesthetics</h3> <p>Required aesthetics are in bold. </p> <ul> <li> <p><strong><code>x</code></strong> </p> </li> <li> <p><strong><code>y</code></strong> </p> </li> <li> <p><strong><code>width</code></strong> Width of the ridgeline, measured from the respective <code>x</code> value. Assumed to be positive, though this is not required. </p> </li> <li> <p><code>group</code> Defines the grouping. Required when the dataset contains multiple distinct ridgelines. Will typically be the same variable as is mapped to <code>x</code>. </p> </li> <li> <p><code>scale</code> A scaling factor to scale the widths of the ridgelines. A value of 1 indicates that the widths are taken as is. This aesthetic can be used to convert <code>width</code> units into <code>x</code> units. </p> </li> <li> <p><code>min_width</code> A width cutoff on the drawn ridgelines. All values that fall below this cutoff will be removed. The main purpose of this cutoff is to remove long tails right at the baseline level, but other uses are possible. The cutoff is applied before any width scaling is applied via the <code>scale</code> aesthetic. Default is 0, so negative values are removed. </p> </li> <li> <p><code>color</code> Color of the ridgeline </p> </li> <li> <p><code>fill</code> Fill color of the area under the ridgeline </p> </li> <li> <p><code>alpha</code> Transparency level of <code>fill</code>. Not applied to <code>color</code>. If you want transparent lines, you can set their color as RGBA value, e.g. #FF0000A0 for partially transparent red. </p> </li> <li> <p><code>group</code> Grouping, to draw multiple ridgelines from one dataset </p> </li> <li> <p><code>linetype</code> Linetype of the ridgeline </p> </li> <li> <p><code>size</code> Line thickness </p> </li></ul> <h3>Examples</h3> <pre> library(ggplot2) d <- data.frame(y = rep(1:5, 3), x = c(rep(0, 5), rep(1, 5), rep(3, 5)), width = c(0, 1, 3, 4, 0, 1, 2, 3, 5, 4, 0, 5, 4, 4, 1)) ggplot(d, aes(x, y, width = width, group = x)) + geom_vridgeline(fill="lightblue") ggplot(iris, aes(x=Species, y=Sepal.Width, width = ..density.., fill=Species)) + geom_vridgeline(stat="ydensity", trim=FALSE, alpha = 0.85, scale = 2) </pre> <hr /><div style="text-align: center;">[Package <em>ggridges</em> version 0.5.4 <a href="00Index.html">Index</a>]</div> </body></html>