--- begin included message -- Hi, I have a question regarding how to get some partial information from the output of rpart, which could be used as the first argument to predict. For example, in my code, I try to learn a stump tree (decision tree of depth 2):
"fit <- rpart(y~bx, weights = w/mean(w), control = cntrl) --- end inclusion --- 1. For stump trees, you can use the depth option in rpart.control to get a small tree. You also might want to set maxsurrogate=0 for speed. 2. Try help(rpart.object) for more information on what is contained in the returned rpart object. In your case fit$splits[1,] would contain all that you need. Terry T. ______________________________________________ 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.