plot.hdr.conf.rd

来自「r软件 另一软件 包 计算核估计 必须先安装r软件」· RD 代码 · 共 44 行

\name{plot.hdrconf}
\alias{plot.hdrconf}
\title{Plot HDRs with confidence intervals}
\description{Plots Highest Density Regions with confidence intervals.
}
\usage{
\method{plot}{hdrconf}(x, den, ...)
}
\arguments{
  \item{x}{Output from \code{hdrconf}.}
  \item{den}{Density of data as list with components \code{x} and \code{y}.}
  \item{\dots}{Other arguments are passed to plot.}
}

\value{None
}

\references{Hyndman, R.J. (1996) Computing and graphing highest density regions
\emph{American Statistician}, \bold{50}, 120-126.}
\author{Rob Hyndman}

\seealso{\code{\link{hdrconf}}}

\examples{
x <- c(rnorm(100,0,1),rnorm(100,4,1))
den <- density(x,bw=bw.SJ(x))
trueden <- den
trueden$y <- 0.5*(exp(-0.5*(den$x*den$x)) + exp(-0.5*(den$x-4)^2))/sqrt(2*pi)
sortx <- sort(x)

par(mfcol=c(2,2))
for(conf in c(50,95))
{
	m <- hdrconf(sortx,trueden,conf=conf)
	plot(m,trueden,main=paste(conf,"\% HDR from true density"))
	m <- hdrconf(sortx,den,conf=conf)
	plot(m,den,main=paste(conf,"\% HDR from empirical density\n(n=200)"))
}
}

\keyword{smooth}
\keyword{distribution}
\keyword{hplot}