Not ellegant.. but... MyDF<-data.frame(cbind(x=runif(10), y=rnorm(10))) TrainingSize=5 TrainingSize_list<-sample(1:nrow(MyDF))[1:TrainingSize] TrainingSize_list MyDF.training<-MyDF[(1:nrow(MyDF) %in% TrainingSize_list),] MyDF.training
MyDF.test<-MyDF[ ! (1:nrow(MyDF) %in% TrainingSize_list),] MyDF.test bests milton On Mon, Dec 21, 2009 at 9:09 AM, bbslover <dlu...@yeah.net> wrote: > > I want to split my whole dateset to training set and test set, building > model > in training set, and validate model using test set. Now, How can I split my > dataset to them reasonally. Please give me a hand, It is better to give me > some R code. > > and I see some ways like using SOM to project whole independents to > 2-dimensions and find some to be training set and others are test set. > like > below. I also want to do this. and my date is in xls accessory. Please help > me. and excel file is 218*47 matrix, 47 are indepents. I want to project > it > to 2D and label the corresponding sample label like that picture below. > > thank you! > > http://n4.nabble.com/file/n976245/SOM%2Btraining%2Bset%2Band%2Btest%2Bset.jpg > SOM+training+set+and+test+set.jpg > http://n4.nabble.com/file/n976245/matlab218x47.xls matlab218x47.xls > -- > View this message in context: > http://n4.nabble.com/Help-Suggest-me-some-methods-to-identify-training-set-and-test-set-tp976245p976245.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
