Boya-
table() is the function that does what you want:
cdat = data.frame(membership=rep(1:3,rep(3,3)),
+ label=as.character(c(0,0,1,0,1,1,1,1,1)))
table(cdat)
label
membership 0 1
1 2 1
2 1 2
3 0 3
From there, you can rearrange it in
Dear R experts,
I have a labeled data set. Each data is assigned a binary label 0 or 1.
Assume that I use some clustering algorithm to group the data by clusters
(using some features of the data). Now I want to know how many data are
labeled as 0/1 in each cluster.
For example, assume that I have
2 matches
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