Please read the documentation. nnet() is support software for a book, and that has explicit examples of this, which you will find in the scripts of the VR bundle (but I don't expect them to be comprehensible without the book).
On Mon, 23 Jul 2007, S.O. Nyangoma wrote: > Hi > It clear that to do a classification with svm under 10-fold cross > validation one uses > > svm(Xm, newlabs, type = "C-classification", kernel = "linear",cross = > 10) > > What corresponds to the nnet? > nnet(.....,cross=10)? > > Regards > > ______________________________________________ > [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 > and provide commented, minimal, self-contained, reproducible code. > -- 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 and provide commented, minimal, self-contained, reproducible code.
