Please do study the packages you mention a great deal more carefully before posting such negative remarks about them.
In particular, rpart is already fully user-extensible (and comes with a worked example), and both packages are supplied in source code on CRAN. On Fri, 26 Aug 2005, zhihua li wrote: > Hi netters, > > I want to learn a decision tree from a series of instances (learning data). > The packages > tree or rpart can do this quite well, but the scoring functions (splitting > criteria) are > fixed in these packages, like gini or something. However, I'm going to use > another scoring > function. > At first I wanna modify the R code of tree or rpart and put my own scoring > function in. But it seems that tree and rpart perform the splitting procedure > by calling external C functions, which I have no access to. So do I have to > write R code from scratch to build the tree with my own scoring functions? > It's a really tough task. Or r there other R packages that can do similar > things with more flexible and extensible code? > > Thanks a lot! > > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
