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.