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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)
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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.
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