[R] dotplot as a background for multiple barchart plots (with Lattice)
Christian Charles
christian.charles at inrialpes.fr
Thu Apr 7 15:46:41 CEST 2011
Hi R users,
I'm kind stuck in my R experience...
I want to have a multiple barchart with n windows, but with the same
background for each window, and I want that background to be a recorded
dotplot.
First, is it possible ?
If so, I guess I have to call a record plot in the panel function but how ?
As there is no panel.plot and I can't use the recorded plot as an
argument for the panel.dotplot() call, I'm stuck.
I think I close but I need some help.
Many thanks and regards,
Christian
### dummy data building
test <- data.frame(Subject=rep(c("A", "B", "C", "D"), each=6),
Type=rep(c("EEE", "FFF", "GGG", "HHH", "III",
"JJJ"), times=4),
MeanX=abs(rnorm(24)),
MeanZ=abs(rnorm(24)))
### data for regrouping all means
all <- data.frame(Type=levels(factor(test$Type)), MeanX = c(0), MeanZ =
c(0))
### building means...
for(s in levels(factor(test$Subject)))
{
tmp <- data.frame(Type = all$Type)
for(t in tmp$Type)
{
tmp$MeanX[tmp$Type == t] <- mean(test$MeanX[test$Type==t &
test$Subject==s])
tmp$MeanZ[tmp$Type == t] <- mean(test$MeanZ[test$Type==t &
test$Subject==s])
}
all$MeanX = all$MeanX + tmp$MeanX
all$MeanZ = all$MeanZ + tmp$MeanZ
}
l <- length(levels(factor(test$Subject)))
all$MeanX = all$MeanX/l
all$MeanX = all$MeanZ/l
### plot for means
meanplot <- dotplot(MeanX+MeanZ ~ Type, data=all, cex = 1.2, xlab="",
ylab="",
panel = panel.superpose,
panel.groups = function(x, ..., group.number){
panel.dotplot(x + (group.number - 1.5)/3, ... )
})
### test plot in order to see if there is something wrong.
plot(meanplot)
### final plot
barchart( MeanX + MeanZ ~ Type|Subject,
data=test ,
scales = list(x = list(rot = 60)),
layout=c(1, l),
panel = function(...) {
panel.superpose
#panel.dotplot(meanplot) # so this is want I want, my
recorded dotplot as a background...
panel.abline(h=0)
panel.grid(v = -length(levels(factor(test$Type))), h=0)
panel.barchart(...)
})
BTW, this R code might not be perfect and surely, there are better ways
to build my data frames, but that's my newbie way to do it.
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