R: Plot HDRs with confidence intervals

plot.hdrconf {hdrcde} | R Documentation

## Plot HDRs with confidence intervals

### Description

Plots Highest Density Regions with confidence intervals.

### Usage

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

### Arguments

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

### Value

None

### Author(s)

Rob J Hyndman

### References

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

### See Also

`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)"))
    }

[Package hdrcde version 3.3 Index]