[R] tree vs rpart vs randomforest

[Rishabh Gupta]

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
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._