I'm in a situation where I say:
> predict(m.rpart, newdata=D[N1+t,])
0 1
173 0.8 0.2
which I interpret as meaning: an 80% chance of "0" and a 20% chance of
"1". Okay. This is consistent with:
> predict(m.rpart, newdata=D[N1+t,], type="class")
[1] 0
Levels: 0 1
But I'm puzzled at the following. If I say:
> predict(m.rpart, newdata=D[N1+t,], type="vector")
173
1
What gives?
I will be happy to packup a runnable demonstration for any of you, but
I wondered if it was just my lack of knowledge about "type" in
predict.rpart; wondered if there was a simple and logical explanation.
--
Ajay Shah Consultant
[EMAIL PROTECTED] Department of Economic Affairs
http://www.mayin.org/ajayshah Ministry of Finance, New Delhi
______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
