Re: [R] Analyse the effect of group membership

[Noah Marconi]

Does this help?

set.seed(500)
mtx <- matrix(round(runif(100,0,1)),
       ncol=5,
       dimnames=list(Subject=1:20,
                     Group=c('A','B','C','D','E')))

groupCombo <- apply(mtx, 1, function(x){
  x <- paste(
    names(x)[as.logical(x)],
    collapse='+'
  );
  return(x)
})

as.factor(groupCombo)


On 2014-03-24 13:50, Tom Wright wrote:

Hi,
Given a matrix
set.seed(500)
matrix(round(runif(100,0,1)),
        ncol=5,
        dimnames=list(Subject=1:20,
        Group=c('A','B','C','D','E')))

Is there an easy way to identify which combinations of groups exist,
i.e. subject2 is a member of group 'A+B+D+E' however no one is a member
of 'A+B+C+D'.

I want to analyze if particular combinations of groups have worse
outcomes than others. I admit I'm not really sure how to do this, if
anyone has any pointers I'll be happy to hear them.

Thanks,
Tom

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