On Thu, Apr 2, 2009 at 3:16 PM, Judith Flores <jur...@yahoo.com> wrote:
>
> 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?
histogram(~variable| interaction(individual, group))
-Deepayan
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