Thank you so much for reply. But I am looking for the exact opposite. I do not have a data set which I want to partition. But already a sequence/tree-like set of decision rules and with which I want to simulate what is my expected outcome/pay-off given a particular scenario. As far as I understand it, those packages could calculate the expected outcome AFTER having fit them to a particular data set and not construct a "synthetic" tree with exogenously defined decision nods/rules. Or am I wrong?
Thanks and best, Stefan On Wed, Jun 8, 2011 at 2:03 PM, Jonathan Daily <biomathjda...@gmail.com> wrote: > See packages rpart, randomForest, party. > > Also, typing "R Decision Trees" produced good google results. > > http://www.google.com/search?aq=f&sourceid=chrome&ie=UTF-8&q=R+Decision+Trees > > On Wed, Jun 8, 2011 at 7:02 AM, stefan.d...@gmail.com > <stefan.d...@gmail.com> wrote: >> Hello, >> >> this question is a bit out of the blue. >> >> I am a big R fan and user and in my new job I do some decision >> modeling (mostly health economics). For that decision trees are often >> used (I guess the most classic example is the investment decision A, >> B, and C with different probabilities, what is the expected payoff). >> We use a specialized software called TreeAge that some might know. >> The basic setup of such simulations is actually very simple and I >> guess useful in many fields. So I was wondering whether there is >> already a package out there in R that is doing such a thing? >> >> Thanks for any hints! >> Best, >> Stefan >> >> PS >> (By decision tree I don't mean cluster-like analysis of a data set >> splitting by identifying decision nods, but the other way around: I >> have decision nodes, what is my expected outcome.) >> >> ______________________________________________ >> 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. >> > > > > -- > =============================================== > Jon Daily > Technician > =============================================== > #!/usr/bin/env outside > # It's great, trust me. > ______________________________________________ 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.
