Hi, On Sun, Oct 2, 2011 at 3:54 PM, <bby2...@columbia.edu> wrote: > Hi Steve, > > Thanks for the note. I did try the example and the result didn't make sense > to me. For splitting a vector, what you describe is a big difference btw > them. For splitting a dataframe, I now wonder if these 2 functions are the > wrong choices. They seem to split the columns, at least in the few things I > tried.
Sorry, I'm a bit confused now as to what you are after. You don't pass in a data.frame into any of the createFolds/DataPartition functions from the caret package. You pass in a *vector* of labels, and these functions tells you which indices into the vector to use as examples to hold out (or keep (depending on the value you pass in for the `returnTrain` argument)) between each fold/partition of your learning scenario (eg. cross validation with createFolds). You would then use these indices to keep (remove) the rows of a data.frame, if that is how you are storing your examples. Does that make sense? -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact ______________________________________________ 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.
