Sorry, the previous was not right post. I want to know the difference between following to methods of random forest.
1. epiG.rf <-randomForest(gamma~.,data=data, na.action = na.fail,ntree = 300,xtest = NULL, ytest = NULL,replace = T, proximity =F) 2. epiG.rf <-randomForest(x = data,,y = data$gamma, na.action = na.fail,ntree = 300,xtest = NULL, ytest = NULL,replace = T, proximity =F) which one is the correct form of random forest? Thanls On Sun, Oct 21, 2012 at 9:59 PM, Gyanendra Pokharel < gyanendra.pokha...@gmail.com> wrote: > Hi all, > Can some one tell me the difference between the following two formulas? > > 1. epiG.rf <-randomForest(gamma~.,data=data, na.action = na.fail,ntree = > 300,xtest = NULL, ytest = NULL,replace = T, proximity =F) > 2.epiG.rf <-randomForest(gamma~.,data=data, na.action = na.fail,ntree = > 300,xtest = NULL, ytest = NULL,replace = T, proximity =F) > > > [[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.