Hi all, I have been looking at the different packages and function that R has for performing classification analysis. I've had a look at tree, rpart and randomforest. I was just wondering what is the difference between all these different packages and what is the best application for each if there is one. I must admit, I had more success using tree rather than rpart although I don't know why it worked better. Could somebody give me an idea of what are the main differences and which package is better for what application. Your help would be greatly appreciated. Many Thanks Rishabh -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._