Hello dear R-community,
I have been trying to figure out a way to generate histograms of a numeric
variable observed in different entities ('individual' below). Each one of this
entities is classified as "A" or "B" (according to the pseudo-code below):
variable<-sample(rep(1:10,10))
individual<-rep(1:10, length(variable))
group<-rep(LETTERS[1:2],length(variable)/2)
mydata<-data.frame(variable,individual,group)
library('lattice')
attach(mydata)
individual<-as.factor(individual)
group<-as.factor(group)
histogram(~variable|individual+group)
If you run the above code you will obtain a series of panels that correspond
to every entity, but replicated, which makes sense because I am telling it to
generate histograms by entity and by group, but the reality is that each entity
only belongs to one of the groups, but then some plots appear empty, as they
should. That means that only the plots that have data in it are 'real'.
My question is: how can I generate a layout where only the 'real' data
exists and still get the two strips that specify the individual and group?
Thank you very much in advance for any help you can provide me with,
Judith
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