search for: subset4

...ollowing as it doesn't # get managed automatically. Subset1 = subset(subset(dat, aRange==CutTable$a[1]), bRange==CutTable$b[1])[1:2] Subset2 = subset(subset(dat, aRange==CutTable$a[2]), bRange==CutTable$b[2])[1:2] Subset3 = subset(subset(dat, aRange==CutTable$a[3]), bRange==CutTable$b[3])[1:2] Subset4 = subset(subset(dat, aRange==CutTable$a[4]), bRange==CutTable$b[4])[1:2] Subset1 Subset2 Subset3 Subset4 CutTable

Hello R-user! I am running R 2.7.0 on a Power Book (Tiger). (I am still R and statistics beginner) I try to find the most important variables to divide my dataset as given in a categorical variable. code: Test.rf4<-randomForest(Sex~.,na.action=na.roughfix, data=Subset4, importance=TRUE, proximity=TRUE, ntree=10000, do.trace=1000, keep.forest=FALSE) My dataset contains also ordered factors classified as such. Is randomForest able to deal with it, does it change anything or is there no difference in using factors or ordered factors? Many thanks in advance...