Dear, Thanks for the warmful help on New Year's EVE.
Cross-validation is used to validate the predictive quality of the training data with testing data. As for the amount, the cross-validation (cv) is supposed to be based on k-fold cross-validation, k-1 for the training and 1 for the testing. The cross-validation will be repeated for k times. Is it the same with the function inside caret, ipred, and e1071 package? Elaine On Fri, Jan 1, 2010 at 4:02 AM, Max Kuhn <mxk...@gmail.com> wrote: > You might want to be more specific about what you (exactly) intend to do. > Reading the posting guide might help you get better answers. > > There are a few packages and functions to do what (I think) you desire. > There is the train function in the caret package, the errorest function in > ipred and a few in e1071. > > Max > > > > > On Dec 31, 2009, at 12:13 AM, elaine kuo <elaine.kuo...@gmail.com> wrote: > > Dear, >> >> I wanna make cross-validation for the species data of species distribution >> models. >> Please kindly suggest any package containing cross validation suiting the >> purpose. >> >> Thank you. >> >> Elaine >> >> [[alternative HTML version deleted]] >> >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html<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 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.
