On 02/04/2014 12:41 PM, Michael Friendly wrote:
Given a set of numeric variables and a group factor, as in the iris data
used below,
I`d like to show a parallel coordinate plot, where instead of trace
lines, I want
to show something of the density distribution of the variable values for
each
group.
Some approximations to what I want are shown below, using lattice,
and simple techniques to show density *visually*, varying the amount
of "ink".
I'd like to know if there is a *statistical* implementation that would do
something like this, either in the lattice or ggplot2 families. (I'm sure
there is, but any help with syntax would be appreciated.)
Hi Michael,
I may be completely off the track here, but just on the off chance...
data(iris)
library(plotrix)
x11(width=6,height=10)
oldpar<-panes(nrow=3,ncol=1)
par(mar=c(5,4,4,2))
dendroPlot(iris[iris$Species=="setosa",1:4],breaks=list(10,10,10,10),
setlabels=names(iris)[1:4],main="Setosa",xlab="Measurement",ylab="Cm")
dendroPlot(iris[iris$Species=="versicolor",1:4],breaks=list(10,10,10,10),
setlabels=names(iris)[1:4],main="Versicolor",xlab="Measurement",ylab="Cm")
dendroPlot(iris[iris$Species=="virginica",1:4],breaks=list(10,10,10,10),
setlabels=names(iris)[1:4],main="Virginica",xlab="Measurement",ylab="Cm")
par(oldpar)
Jim
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