hdr.cde  R Documentation 
Calculates and plots highest density regions for a conditional density
estimate. Uses output from cde
.
hdr.cde( den, prob = c(50, 95, 99), plot = TRUE, plot.modes = TRUE, mden = rep(1, length(den$x)), threshold = 0.05, nn = 1000, xlim, ylim, xlab, ylab, border = TRUE, font = 1, cex = 1, ... )
den 
Conditional density in the same format as the output from

prob 
Probability coverage level for HDRs 
plot 
Should HDRs be plotted? If FALSE, results are returned. 
plot.modes 
Should modes be plotted as well as HDRs? 
mden 
Marginal density in the 
threshold 
Threshold for margin density. HDRs are not plotted if the
margin density 
nn 
Number of points to be sampled from each density when estimating the HDRs. 
xlim 
Limits for xaxis. 
ylim 
Limits for yaxis. 
xlab 
Label for xaxis. 
ylab 
Label for yaxis. 
border 
Show border of polygons 
font 
Font to be used in plot. 
cex 
Size of characters. 
... 
Other arguments passed to plotting functions. 
hdr 
array (a,b,c) where where a specifies conditioning value, b gives the HDR endpoints and c gives the probability coverage. 
modes 
estimated mode of each conditional density 
Rob J Hyndman
Hyndman, R.J., Bashtannyk, D.M. and Grunwald, G.K. (1996) "Estimating and visualizing conditional densities". Journal of Computational and Graphical Statistics, 5, 315336.
cde
, hdr
faithful.cde < cde(faithful$waiting,faithful$eruptions) plot(faithful.cde,xlab="Waiting time",ylab="Duration time",plot.fn="hdr")
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