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% Generated by roxygen2 (4.0.1): do not edit by hand
\name{stat_quantile}
\alias{stat_quantile}
\title{Continuous quantiles.}
\usage{
stat_quantile(mapping = NULL, data = NULL, geom = "quantile",
position = "identity", quantiles = c(0.25, 0.5, 0.75), formula = NULL,
method = "rq", na.rm = FALSE, ...)
}
\arguments{
\item{quantiles}{conditional quantiles of y to calculate and display}
\item{formula}{formula relating y variables to x variables}
\item{method}{Quantile regression method to use. Currently only supports
\code{\link[quantreg]{rq}}.}
\item{na.rm}{If \code{FALSE} (the default), removes missing values with
a warning. If \code{TRUE} silently removes missing values.}
\item{mapping}{The aesthetic mapping, usually constructed with
\code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set
at the layer level if you are overriding the plot defaults.}
\item{data}{A layer specific dataset - only needed if you want to override
the plot defaults.}
\item{geom}{The geometric object to use display the data}
\item{position}{The position adjustment to use for overlappling points
on this layer}
\item{...}{other arguments passed on to \code{\link{layer}}. This can
include aesthetics whose values you want to set, not map. See
\code{\link{layer}} for more details.}
}
\value{
a data.frame with additional columns:
\item{quantile}{quantile of distribution}
}
\description{
Continuous quantiles.
}
\section{Aesthetics}{
\Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "quantile")}
}
\examples{
\donttest{
msamp <- movies[sample(nrow(movies), 1000), ]
m <- ggplot(msamp, aes(year, rating)) + geom_point()
m + stat_quantile()
m + stat_quantile(quantiles = 0.5)
q10 <- seq(0.05, 0.95, by=0.05)
m + stat_quantile(quantiles = q10)
# You can also use rqss to fit smooth quantiles
m + stat_quantile(method = "rqss")
# Note that rqss doesn't pick a smoothing constant automatically, so
# you'll need to tweak lambda yourself
m + stat_quantile(method = "rqss", lambda = 10)
m + stat_quantile(method = "rqss", lambda = 100)
# Use 'votes' as weights for the quantile calculation
m + stat_quantile(aes(weight=votes))
# Change scale
m + stat_quantile(aes(colour = ..quantile..), quantiles = q10)
m + stat_quantile(aes(colour = ..quantile..), quantiles = q10) +
scale_colour_gradient2(midpoint = 0.5)
# Set aesthetics to fixed value
m + stat_quantile(colour = "red", size = 2, linetype = 2)
# Use qplot instead
qplot(year, rating, data=movies, geom="quantile")
}
}
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