View source: R/hdr.boxplot.2d.R
hdr.2d  R Documentation 
Calculates and plots highest density regions in two dimensions, including the bivariate HDR boxplot.
hdr.2d( x, y, prob = c(50, 95, 99), den = NULL, kde.package = c("ash", "ks"), h = NULL, xextend = 0.15, yextend = 0.15 ) hdr.boxplot.2d( x, y, prob = c(50, 99), kde.package = c("ash", "ks"), h = NULL, xextend = 0.15, yextend = 0.15, xlab = "", ylab = "", shadecols = "darkgray", pointcol = 1, outside.points = TRUE, ... ) ## S3 method for class 'hdr2d' plot( x, shaded = TRUE, show.points = FALSE, outside.points = FALSE, pch = 20, shadecols = gray((length(x$alpha):1)/(length(x$alpha) + 1)), pointcol = 1, ... )
x 
Numeric vector 
y 
Numeric vector of same length as 
prob 
Probability coverage required for HDRs 
den 
Bivariate density estimate (a list with elements x, y and z where
x and y are grid values and z is a matrix of density values). If

kde.package 
Package to be used in calculating the kernel density
estimate when 
h 
Pair of bandwidths passed to either 
xextend 
Proportion of range of 
yextend 
Proportion of range of 
xlab 
Label for xaxis. 
ylab 
Label for yaxis. 
shadecols 
Colors for shaded regions 
pointcol 
Color for outliers and mode 
outside.points 
If 
... 
Other arguments to be passed to plot. 
shaded 
If 
show.points 
If 
pch 
The plotting character used for observations. 
The density is estimated using kernel density estimation. Either
ash2
or kde
is used to do the
calculations. Then Hyndman's (1996) density quantile algorithm is used to
compute the HDRs.
hdr.2d
returns an object of class hdr2d
containing all the
information needed to compute the HDR contours. This object can be plotted
using plot.hdr2d
.
hdr.boxplot.2d
produces a bivariate HDR boxplot. This is a special
case of applying plot.hdr2d
to an object computed using
hdr.2d
.
Some information about the HDRs is returned. See code for details.
Rob J Hyndman
Hyndman, R.J. (1996) Computing and graphing highest density regions American Statistician, 50, 120126.
hdr.boxplot
x < c(rnorm(200,0,1),rnorm(200,4,1)) y < c(rnorm(200,0,1),rnorm(200,4,1)) hdr.boxplot.2d(x,y) hdrinfo < hdr.2d(x,y) plot(hdrinfo, pointcol="red", show.points=TRUE, pch=3)
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