# create a matrix where each row represents an element and
# a 1 (or TRUE) in each column indicates that the element is a member
# of that set.
druguse<-matrix(c(sample(c(0,1),200,TRUE),
sample(c(0,1),200,TRUE),
sample(c(0,1),200,TRUE),
sample(c(0,1),200,TRUE)),ncol=4)
colnames(druguse)<-c("Alc","Tob","THC","Amp")
druglist<-makeIntersectList(druguse)
# first display it as counts
intersectDiagram(druglist)
# then as percent with non.members, passing the initial matrix
intersectDiagram(druguse,pct=TRUE,show.nulls=TRUE)
# alter the data to have more multiple intersections
druguse[which(as.logical(druguse[,1]))[1:40],2]<-1
druguse[which(as.logical(druguse[,1]))[31:70],3]<-1
druguse[,4]<-sample(c(0,1),200,TRUE,prob=c(0.9,0.1))
intersectDiagram(druguse,col=c("gray20","gray40","gray60","gray80"))
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