plot.hdrconf: Plot HDRs with confidence intervals
In hdrcde: Highest Density Regions and Conditional Density Estimation

Description Usage Arguments Value Author(s) References See Also Examples

Plots Highest Density Regions with confidence intervals.

1 2	## S3 method for class 'hdrconf' plot(x, den, ...)

`x`	Output from `hdrconf`.
`den`	Density of data as list with components `x` and `y`.
`...`	Other arguments are passed to plot.

None

Rob J Hyndman

Hyndman, R.J. (1996) Computing and graphing highest density regions American Statistician, 50, 120-126.

hdrconf

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)"))
}