On 03/25/2014 04:50 AM, 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.
Hi Tom,
This may be useful:
testmat<-matrix(round(runif(100,0,1)),col=5,
dimnames=list(Subject=1:20,
Group=c('A','B','C','D','E')))
library(plotrix)
intersectDiagram(testmat)
Jim
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