Kirill, Perhaps I'm just being obtuse, but what are you proposing rpart do in the case of an empty model? Return a "tree" that always guesses the most common label, or doesn't guess at all (NA)? It doesn't seem like you'd need rpart for either of those.
~G On Wed, Aug 13, 2014 at 3:51 AM, Kirill Müller < kirill.muel...@ivt.baug.ethz.ch> wrote: > Dear list > > > For my work, it would be helpful if rpart worked seamlessly with an empty > model: > > library(rpart); rpart(formula=y~0, data=data.frame(y=factor(1:10))) > > Currently, an unrelated error (originating from na.rpart) is thrown. > > At some point in the near future, I'd like to release a package to CRAN > which uses rpart and relies on that functionality. I have prepared a patch > (minor modifications at three places, and a test) which I'd like to propose > for inclusion in the next CRAN release of rpart. The patch can be reviewed > at https://github.com/krlmlr/rpart/tree/empty-model, the files (based on > the current CRAN release 4.1-8) can be downloaded from > https://github.com/krlmlr/rpart/archive/empty-model.zip. > > Thanks for your attention. > > > With kindest regards > > Kirill Müller > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > -- Gabriel Becker Graduate Student Statistics Department University of California, Davis [[alternative HTML version deleted]] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
