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\name{stat_density}
\alias{stat_density}
\alias{StatDensity}
\title{stat\_density}
\description{Density estimation, 1D}
\details{
This page describes stat\_density, see \code{\link{layer}} and \code{\link{qplot}} for how to create a complete plot from individual components.
}
\section{Aesthetics}{
The following aesthetics can be used with stat\_density. Aesthetics are mapped to variables in the data with the aes function: \code{stat\_density(aes(x = var))}
\itemize{
\item \code{x}: x position (\strong{required})
\item \code{y}: y position
\item \code{fill}: internal colour
}
}
\usage{stat_density(mapping = NULL, data = NULL, geom = "area", position = "stack",
adjust = 1, kernel = "gaussian", trim = FALSE, na.rm = FALSE,
...)}
\arguments{
\item{mapping}{mapping between variables and aesthetics generated by aes}
\item{data}{dataset used in this layer, if not specified uses plot dataset}
\item{geom}{geometric used by this layer}
\item{position}{position adjustment used by this layer}
\item{adjust}{see ?density for details}
\item{kernel}{kernel used for density estimation, see \code{\link{density}} for details}
\item{trim}{NULL}
\item{na.rm}{NULL}
\item{...}{other arguments}
}
\seealso{\itemize{
\item \code{\link{stat_bin}}: for the histogram
\item \code{\link{density}}: for details of the algorithm used
\item \url{http://had.co.nz/ggplot2/stat_density.html}
}}
\value{A \code{\link{layer}}}
\examples{\dontrun{
m <- ggplot(movies, aes(x=rating))
m + geom_density()
# Adjust parameters
m + geom_density(kernel = "rectangular")
m + geom_density(kernel = "biweight")
m + geom_density(kernel = "epanechnikov")
m + geom_density(adjust=1/5) # Very rough
m + geom_density(adjust=5) # Very smooth
# Adjust aesthetics
m + geom_density(aes(fill=factor(Drama)), size=2)
# Scale so peaks have same height:
m + geom_density(aes(fill=factor(Drama), y = ..scaled..), size=2)
m + geom_density(colour="darkgreen", size=2)
m + geom_density(colour="darkgreen", size=2, fill=NA)
m + geom_density(colour="darkgreen", size=2, fill="green")
# Change scales
(m <- ggplot(movies, aes(x=votes)) + geom_density(trim = TRUE))
m + scale_x_log10()
m + coord_trans(x="log10")
m + scale_x_log10() + coord_trans(x="log10")
# Also useful with
m + stat_bin()
# Make a volcano plot
ggplot(diamonds, aes(x = price)) +
stat_density(aes(ymax = ..density.., ymin = -..density..),
fill = "grey50", colour = "grey50",
geom = "ribbon", position = "identity") +
facet_grid(. ~ cut) +
coord_flip()
# Stacked density plots
# If you want to create a stacked density plot, you need to use
# the 'count' (density * n) variable instead of the default density
# Loses marginal densities
qplot(rating, ..density.., data=movies, geom="density", fill=mpaa, position="stack")
# Preserves marginal densities
qplot(rating, ..count.., data=movies, geom="density", fill=mpaa, position="stack")
# You can use position="fill" to produce a conditional density estimate
qplot(rating, ..count.., data=movies, geom="density", fill=mpaa, position="fill")
# Need to be careful with weighted data
m <- ggplot(movies, aes(x=rating, weight=votes))
m + geom_histogram(aes(y = ..count..)) + geom_density(fill=NA)
m <- ggplot(movies, aes(x=rating, weight=votes/sum(votes)))
m + geom_histogram(aes(y=..density..)) + geom_density(fill=NA, colour="black")
movies$decade <- round_any(movies$year, 10)
m <- ggplot(movies, aes(x=rating, colour=decade, group=decade))
m + geom_density(fill=NA)
m + geom_density(fill=NA) + aes(y = ..count..)
# Use qplot instead
qplot(length, data=movies, geom="density", weight=rating)
qplot(length, data=movies, geom="density", weight=rating/sum(rating))
}}
\author{Hadley Wickham, \url{http://had.co.nz/}}
\keyword{hplot}
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