I'd suggest using the functions within the Hmisc and plyr packages: library(Hmisc); library(plyr) df=data.frame(v1=rnorm(10), v2=rnorm(10), wt=sample(1:5,rep=T),sex=rep(0:1,each=5)); df ddply(df,~sex,summarise,v1.avg=wtd.mean(v1,wt),v2.avg=wtd.mean(v2,wt))
hope this helps, david freedman -- View this message in context: http://r.789695.n4.nabble.com/Calculating-Summaries-for-each-level-of-a-Categorical-variable-tp2269349p2270001.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
