I am using R. I have a dataset.
group attribute1 attribute2 attribute3 A 1 2 3 A 2 3 4 B 2 4 2
> mydf <- data.frame(group=c('a','a','b','b'), a1=c(1,1,2,2), a2=c(2,3,4,2), a3=c(3,4,2,1)) > aggregate(. ~ group, mydf, mean) group a1 a2 a3 1 a 1 2.5 3.5 2 b 2 3.0 1.5
or using plyr:
plyr
ddply(mydf, "group", colwise(mean))