search for: proximi

...for a first shot: remove this variable from the learning sample). Best, Torsten > DV seems to need identifying as a factor to force class trees over > regresssion: > > >Mydata$V46<-as.factor(Mydata$V46) > >Myforest.rf<-randomForest(V46~.,data=Mydata,ntrees=100,mtry=7,proximi > >ties=FALSE > , importance=FALSE) > > 5 hours later, R.bin was still taking up 75% of my processor. When > I've tried this with larger data, I get errors referring to the buffer > (sorry, not in front of me right now). > > Any ideas on this? The data don't se...

When you have fairly large data, _do not use the formula interface_, as a couple of copies of the data would be made. Try simply: Myforest.rf <- randomForest(Mydata[, -46], Mydata[,46], ntrees=100, mtry=7) [Note that you don't need to set proximity (not proximities) or importance to FALSE, as that's the default already.] You might also want to use do.trace=1 to see if trees are actually being grown (assuming there's no output buffering as in Rgui on Windows, otherwise you'll probably want to turn that off). I had run randomFor...