[R] Re : Running random forest using different training and testing schemes

Hi Chysanthi, check out the randomForest package, with the function randomForest. It has a CV option. Sorry for not providing you with a lengthier response at the moment but I'm rather busy on a project. Let me know if you need more help. Also, to split your data into two parts- the training

[R] Re : Running random forest using different training and testing schemes

you need to include in your code something like: tree-rpart(result~., data, control=rpart.control(xval=10)). this xval=10 is 10-fold CV. Best, Pierre De : Chrysanthi A. chrys...@gmail.com À : r-help@r-project.org Envoyé le : Dimanche, 12 Avril 2009, 17h26mn

Re: [R] Re : Running random forest using different training and testing schemes

Hi Pierre, Thanks a lot for your help.. So, using that script, I just separate my data in two parts, right? For using as training set the 70 % of the data and the rest as test, should I multiply the n with the 0.70 (for this case)? Many thanks, Chrysanthi 2009/4/12 Pierre Moffard