Providing a reproducible example and the results of `sessionInfo` will help get your question answered. For example, did you use the formula or non-formula interface to `train` and so on
On Thu, Nov 5, 2015 at 1:10 PM, Bert Gunter <bgunter.4...@gmail.com> wrote: > I am not familiar with caret/Cubist, but assuming they follow the > usual R procedures that encode categorical factors for conditional > fitting, you need to do some homework on your own by reading up on the > use of contrasts in regression. > > See ?factor and ?contrasts (and other linked Help as necessary) to see > what are R's usual procedures, but you will undoubtedly need to > consult outside statistical references -- the help files will point > you to some -- to fully understand what's going on. It is not trivial. > > Cheers, > Bert > Bert Gunter > > "Data is not information. Information is not knowledge. And knowledge > is certainly not wisdom." > -- Clifford Stoll > > > On Thu, Nov 5, 2015 at 9:38 AM, Lorenzo Isella <lorenzo.ise...@gmail.com> > wrote: > > Dear All, > > I have a data set which contains both categorical and numerical > > variables which I analyze using Cubist+the caret framework. > > Now, from the generated rules, it is clear that cubist does something > > to the categorical variables and probably uses some dummy coding for > > them. > > However, I cannot right now access the data the way it is transformed > > by cubist. > > If caret (or the package) need to do some dummy coding of the factors, > > how can I access the newly encoded data set? > > I suppose this applies to plenty of other packages. > > Any suggestion is welcome. > > Cheers > > > > Lorenzo > > > > ______________________________________________ > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > 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. > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
