On Wed, Jul 18, 2012 at 06:34:49PM -0700, Noah Silverman wrote: > Hi, > > I'm looking for an "easy" way to setup a decision tree. > > This is *not* any kind of regression, but a very simple DAG with probability > on each edge and a value at each node. I just need a way to input the graph > and calculate the expected value at each end node. The whole thing could be > done with a calculator and pencil, but it would be nice to have everything in > R.
Hi. Is the graph a tree or a general DAG? If i understand correctly, there is a single input node, where the process starts and in each non-end node, the process continues at a randomly chosen out-going edge with the specified probabilities. What is the output, if the process goes through a sequence of nodes, which are assigned the values w_0, ..., w_n? Here, w_0 is the value of the start node and w_n the value of an end-node. Petr Savicky. ______________________________________________ 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.
