CV by rpart/mvpart
n-fold cv is easy to be implemented in R by yourself. you can create 10 folds' samples by yourself and disable cv in rpart. Then you can use the same sample sets to compare different methods. HTH weiwei
On 12/28/06, Pedro Ramirez <palmar379 at yahoo.es> wrote:
Dear R-list,
I am using the rpart/mvpart-package for selecting a right-sized regression tree by 10-fold cross-validation. My question: Is there a possibility to find out for every observation in which of the ten folds it is lying? I want to use the same folds for validating another regression method (moving averages) in order to choose the better one.
Thanks a lot,
Pedro
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