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geom_linerange.Rd
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% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/geom-crossbar.r, R/geom-errorbar.r, R/geom-linerange.r, R/geom-pointrange.r
\name{geom_crossbar}
\alias{geom_crossbar}
\alias{geom_errorbar}
\alias{geom_linerange}
\alias{geom_pointrange}
\title{Vertical intervals: lines, crossbars & errorbars.}
\usage{
geom_crossbar(mapping = NULL, data = NULL, stat = "identity",
position = "identity", fatten = 2.5, show.legend = NA,
inherit.aes = TRUE, ...)
geom_errorbar(mapping = NULL, data = NULL, stat = "identity",
position = "identity", show.legend = NA, inherit.aes = TRUE, ...)
geom_linerange(mapping = NULL, data = NULL, stat = "identity",
position = "identity", show.legend = NA, inherit.aes = TRUE, ...)
geom_pointrange(mapping = NULL, data = NULL, stat = "identity",
position = "identity", show.legend = NA, inherit.aes = TRUE,
fatten = 4, ...)
}
\arguments{
\item{mapping}{Set of aesthetic mappings created by \code{\link{aes}} or
\code{\link{aes_}}. If specified and \code{inherit.aes = TRUE} (the
default), is combined with the default mapping at the top level of the
plot. You only need to supply \code{mapping} if there isn't a mapping
defined for the plot.}
\item{data}{A data frame. If specified, overrides the default data frame
defined at the top level of the plot.}
\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{fatten}{A multiplicative factor used to increased the size of the
middle bar in \code{geom_crossbar()} and the middle point in
\code{geom_pointrange()}.}
\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.}
\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}}.}
\item{...}{other arguments passed on to \code{\link{layer}}. There are
three types of arguments you can use here:
\itemize{
\item Aesthetics: to set an aesthetic to a fixed value, like
\code{color = "red"} or \code{size = 3}.
\item Other arguments to the layer, for example you override the
default \code{stat} associated with the layer.
\item Other arguments passed on to the stat.
}}
}
\description{
Various ways of representing a vertical interval defined by \code{x},
\code{ymin} and \code{ymax}.
}
\section{Aesthetics}{
\Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "linerange")}
}
\examples{
#' # Create a simple example dataset
df <- data.frame(
trt = factor(c(1, 1, 2, 2)),
resp = c(1, 5, 3, 4),
group = factor(c(1, 2, 1, 2)),
upper = c(1.1, 5.3, 3.3, 4.2),
lower = c(0.8, 4.6, 2.4, 3.6)
)
p <- ggplot(df, aes(trt, resp, colour = group))
p + geom_linerange(aes(ymin = lower, ymax = upper))
p + geom_pointrange(aes(ymin = lower, ymax = upper))
p + geom_crossbar(aes(ymin = lower, ymax = upper), width = 0.2)
p + geom_errorbar(aes(ymin = lower, ymax = upper), width = 0.2)
# Draw lines connecting group means
p +
geom_line(aes(group = group)) +
geom_errorbar(aes(ymin = lower, ymax = upper), width = 0.2)
# If you want to dodge bars and errorbars, you need to manually
# specify the dodge width
p <- ggplot(df, aes(trt, resp, fill = group))
p +
geom_bar(position = "dodge", stat = "identity") +
geom_errorbar(aes(ymin = lower, ymax = upper), position = "dodge", width = 0.25)
# Because the bars and errorbars have different widths
# we need to specify how wide the objects we are dodging are
dodge <- position_dodge(width=0.9)
p +
geom_bar(position = dodge, stat = "identity") +
geom_errorbar(aes(ymin = lower, ymax = upper), position = dodge, width = 0.25)
}
\seealso{
\code{\link{stat_summary}} for examples of these guys in use,
\code{\link{geom_smooth}} for continuous analog
}