geom_rug.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/geom-rug.r
\name{geom_rug}
\alias{geom_rug}
\title{Rug plots in the margins}
\usage{
geom_rug(mapping = NULL, data = NULL, stat = "identity",
  position = "identity", ..., outside = FALSE, sides = "bl",
  length = unit(0.03, "npc"), na.rm = FALSE, show.legend = NA,
  inherit.aes = TRUE)
}
\arguments{
\item{mapping}{Set of aesthetic mappings created by \code{\link[=aes]{aes()}} or
\code{\link[=aes_]{aes_()}}. If specified and \code{inherit.aes = TRUE} (the
default), it is combined with the default mapping at the top level of the
plot. You must supply \code{mapping} if there is no plot mapping.}

\item{data}{The data to be displayed in this layer. There are three
options:

If \code{NULL}, the default, the data is inherited from the plot
data as specified in the call to \code{\link[=ggplot]{ggplot()}}.

A \code{data.frame}, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
\code{\link[=fortify]{fortify()}} for which variables will be created.

A \code{function} will be called with a single argument,
the plot data. The return value must be a \code{data.frame}, and
will be used as the layer data. A \code{function} can be created
from a \code{formula} (e.g. \code{~ head(.x, 10)}).}

\item{stat}{The statistical transformation to use on the data for this
layer, as a string.}

\item{position}{Position adjustment, either as a string, or the result of
a call to a position adjustment function.}

\item{...}{Other arguments passed on to \code{\link[=layer]{layer()}}. These are
often aesthetics, used to set an aesthetic to a fixed value, like
\code{colour = "red"} or \code{size = 3}. They may also be parameters
to the paired geom/stat.}

\item{outside}{logical that controls whether to move the rug tassels outside of the plot area. Default is off (FALSE). You will also need to use \code{coord_cartesian(clip = "off")}. When set to TRUE, also consider changing the sides argument to "tr". See examples.}

\item{sides}{A string that controls which sides of the plot the rugs appear on.
It can be set to a string containing any of \code{"trbl"}, for top, right,
bottom, and left.}

\item{length}{A \code{\link[grid:unit]{grid::unit()}} object that sets the length of the rug lines. Use scale expansion to avoid overplotting of data.}

\item{na.rm}{If \code{FALSE}, the default, missing values are removed with
a warning. If \code{TRUE}, missing values are silently removed.}

\item{show.legend}{logical. Should this layer be included in the legends?
\code{NA}, the default, includes if any aesthetics are mapped.
\code{FALSE} never includes, and \code{TRUE} always includes.
It can also be a named logical vector to finely select the aesthetics to
display.}

\item{inherit.aes}{If \code{FALSE}, 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{\link[=borders]{borders()}}.}
}
\description{
A rug plot is a compact visualisation designed to supplement a 2d display
with the two 1d marginal distributions. Rug plots display individual
cases so are best used with smaller datasets.
}
\details{
By default, the rug lines are drawn with a length that corresponds to 3\%
of the total plot size. Since the default scale expansion of for continuous
variables is 5\% at both ends of the scale, the rug will not overlap with
any data points under the default settings.
}
\section{Aesthetics}{

\code{geom_rug()} understands the following aesthetics (required aesthetics are in bold):
\itemize{
\item \code{alpha}
\item \code{colour}
\item \code{group}
\item \code{linetype}
\item \code{size}
\item \code{x}
\item \code{y}
}
Learn more about setting these aesthetics in \code{vignette("ggplot2-specs")}.
}

\examples{
p <- ggplot(mtcars, aes(wt, mpg)) +
  geom_point()
p
p + geom_rug()
p + geom_rug(sides="b")    # Rug on bottom only
p + geom_rug(sides="trbl") # All four sides

# Use jittering to avoid overplotting for smaller datasets
ggplot(mpg, aes(displ, cty)) +
  geom_point() +
  geom_rug()

ggplot(mpg, aes(displ, cty)) +
  geom_jitter() +
  geom_rug(alpha = 1/2, position = "jitter")

# move the rug tassels to outside the plot
# remember to set clip = "off".
p + geom_rug(outside = TRUE) +
  coord_cartesian(clip = "off")

# set sides to top right, and then move the margins
p + geom_rug(outside = TRUE, sides = "tr") +
   coord_cartesian(clip = "off") +
   theme(plot.margin = margin(1, 1, 1, 1, "cm"))

# increase the line length and
# expand axis to avoid overplotting
p + geom_rug(length = unit(0.05, "npc")) +
   scale_y_continuous(expand = c(0.1, 0.1))

}