Hi, I'm looking for help on how to use R for making simple decision trees to calculate EMV's, in a manner similar to the method applied in the PrecisionTree add-in for Excel. Say, what is the optimal action, if: Action 1 - could have two out comes with probabilities of 60% and 40% and associated values of 100 and 20 Action 2 - could have three out comes with probabilities of 30%, 60% and 10% with values of 200, 30 and -50 I have tried to read up on the 'rpart' functionality, but I think I might be looking in the wrong direction. I would also like to work with continuous distribution functions within the tree. Can anyone point me in the right direction? Kind regards, Per