Yves, why not: aggregate(myDataframe$TargetValue,list(SomeFactor = myDataframe$SomeFactor),function(x) mean(x[x>quantile(x,.66)]))
Op Wed, 24 Oct 2007 15:30:10 +0200 schreef Yves Moisan <[EMAIL PROTECTED]>: > > Hi All, > > I'm looking for ways to compute aggregate statistics (with the aggregate > function) but with an option for sorting and selecting a subset of the > data > frame. For example, I have would like to turn this : > > aggregate(myDataframe$TargetValue,list(SomeFactor = > myDataframe$SomeFactor),mean) > > into something like > > aggregate(myDataframe$TargetValue,list(SomeFactor = > myDataframe$SomeFactor),mean, sort=DESCENDING, subset=0.33) > > where sort would sort TargetValue per factor level and subset would be > (for > example) a value between 0 and 1. The example above would give me the > mean > for the top third of TargetValue per factor. > > Any way of doing this without having to use temporary variables to stuff > my > vectors, use length(), etc ? -- Gemaakt met Opera's revolutionaire e-mailprogramma: http://www.opera.com/mail/ ______________________________________________ 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.
