It would help if you provided the code that you used for the caret functions.
The most likely issues is not using importance = TRUE in the call to train() I believe that I've only implemented code for plotting the varImp objects resulting from train() (eg. there is plot.varImp.train but not plot.varImp). Max On Mon, Mar 7, 2011 at 3:27 PM, Xiaoqi Cui <x...@mtu.edu> wrote: > Hi, > > I'm using package "caret" to rank predictors using random forest model and > draw predictors importance plot. I used below commands: > > rf.fit<-randomForest(x,y,ntree=500,importance=TRUE) > ## "x" is matrix whose columns are predictors, "y" is a binary resonse vector > ## Then I got the ranked predictors by ranking > "rf1$importance[,"MeanDecreaseAccuracy"]" > ## Then draw the importance plot > varImpPlot(rf.fit) > > As you can see, all the functions I used are directly from the package > "randomForest", instead of from "caret". so I'm wondering if the package > "caret" has some functions who can do the above ranking and ploting. > > In fact, I tried functions "train", "varImp" and "plot" from package "caret", > the random forest model that built by "train" can not be input correctly to > "varImp", which gave error message like "subscripts out of bounds". Also > function "plot" doesn't work neither. > > So I'm wondering if anybody has encountered the same problem before, and > could shed some light on this. I would really appreciate your help. > > Thanks, > Xiaoqi > > ______________________________________________ > 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. > -- Max ______________________________________________ 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.
