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130 lines
4.3 KiB
130 lines
4.3 KiB
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/geom_ash.r
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\name{stat_ash}
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\alias{stat_ash}
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\title{Compute and display a univariate averaged shifted histogram (polynomial kernel)}
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\usage{
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stat_ash(mapping = NULL, data = NULL, geom = "area", position = "stack",
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ab = NULL, nbin = 50, m = 5, kopt = c(2, 2), na.rm = FALSE,
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show.legend = NA, inherit.aes = TRUE, ...)
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}
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\arguments{
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\item{mapping}{Set of aesthetic mappings created by \code{\link{aes}} or
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\code{\link{aes_}}. If specified and \code{inherit.aes = TRUE} (the
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default), it is combined with the default mapping at the top level of the
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plot. You must supply \code{mapping} if there is no plot mapping.}
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\item{data}{The data to be displayed in this layer. There are three
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options:
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If \code{NULL}, the default, the data is inherited from the plot
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data as specified in the call to \code{\link{ggplot}}.
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A \code{data.frame}, or other object, will override the plot
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data. All objects will be fortified to produce a data frame. See
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\code{\link{fortify}} for which variables will be created.
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A \code{function} will be called with a single argument,
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the plot data. The return value must be a \code{data.frame.}, and
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will be used as the layer data.}
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\item{geom}{Use to override the default Geom}
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\item{position}{Position adjustment, either as a string, or the result of
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a call to a position adjustment function.}
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\item{ab}{half-open interval for bins \emph{[a,b)}. If no value is specified,
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the range of x is stretched by \code{5\%} at each end and used the
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interval.}
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\item{nbin}{number of bins desired. Default \code{50}.}
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\item{m}{integer smoothing parameter; Default \code{5}.}
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\item{kopt}{vector of length 2 specifying the kernel, which is proportional
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to \emph{( 1 - abs(i/m)^kopt(1) )i^kopt(2)}; (2,2)=biweight (default);
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(0,0)=uniform; (1,0)=triangle; (2,1)=Epanechnikov; (2,3)=triweight.}
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\item{na.rm}{If \code{FALSE}, the default, missing values are removed with
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a warning. If \code{TRUE}, missing values are silently removed.}
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\item{show.legend}{logical. Should this layer be included in the legends?
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\code{NA}, the default, includes if any aesthetics are mapped.
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\code{FALSE} never includes, and \code{TRUE} always includes.}
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\item{inherit.aes}{If \code{FALSE}, overrides the default aesthetics,
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rather than combining with them. This is most useful for helper functions
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that define both data and aesthetics and shouldn't inherit behaviour from
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the default plot specification, e.g. \code{\link{borders}}.}
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\item{...}{other arguments passed on to \code{\link{layer}}. These are
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often aesthetics, used to set an aesthetic to a fixed value, like
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\code{color = "red"} or \code{size = 3}. They may also be parameters
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to the paired geom/stat.}
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}
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\description{
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See \code{\link[ash]{bin1}} & \code{\link[ash]{ash1}} for more information.
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}
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\details{
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\if{html}{
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A sample of the output from \code{stat_ash()}:
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\figure{statash01.png}{options: width="100\%" alt="Figure: statash01.png"}
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}
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\if{latex}{
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A sample of the output from \code{stat_ash()}:
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\figure{statash01.png}{options: width=10cm}
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}
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}
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\section{Aesthetics}{
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\code{geom_ash} understands the following aesthetics (required aesthetics
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are in bold):
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\itemize{
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\item \strong{\code{x}}
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\item \code{alpha}
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\item \code{color}
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\item \code{fill}
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\item \code{linetype}
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\item \code{size}
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}
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}
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\section{Computed variables}{
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\describe{
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\item{\code{density}}{ash density estimate}
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}
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}
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\examples{
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# compare
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library(gridExtra)
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set.seed(1492)
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dat <- data.frame(x=rnorm(100))
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grid.arrange(ggplot(dat, aes(x)) + stat_ash(),
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ggplot(dat, aes(x)) + stat_bkde(),
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ggplot(dat, aes(x)) + stat_density(),
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nrow=3)
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cols <- RColorBrewer::brewer.pal(3, "Dark2")
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ggplot(dat, aes(x)) +
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stat_ash(alpha=1/2, fill=cols[3]) +
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stat_bkde(alpha=1/2, fill=cols[2]) +
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stat_density(alpha=1/2, fill=cols[1]) +
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geom_rug() +
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labs(x=NULL, y="density/estimate") +
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scale_x_continuous(expand=c(0,0)) +
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theme_bw() +
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theme(panel.grid=element_blank()) +
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theme(panel.border=element_blank())
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}
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\references{
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David Scott (1992), \emph{"Multivariate Density Estimation,"}
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John Wiley, (chapter 5 in particular).\cr
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\cr
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B. W. Silverman (1986), \emph{"Density Estimation for Statistics
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and Data Analysis,"} Chapman & Hall.
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}
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