[R] Regarding variable importance in the randomForest package

Liaw, Andy andy_liaw at merck.com
Tue Mar 16 18:34:06 CET 2010

Seems like you're new to R as well?  The first argument should contain
only the predictor variables, but you used the entire data frame that
contains the response.


> -----Original Message-----
> From: r-help-bounces at r-project.org 
> [mailto:r-help-bounces at r-project.org] On Behalf Of Corinne Staley
> Sent: Monday, March 15, 2010 9:52 PM
> To: r-help at r-project.org
> Subject: [R] Regarding variable importance in the randomForest package
> For anyone who is knowledgeable about the randomForest 
> package in R, I have
> a question:
> When I look at the variable importance for data, I see that 
> my response
> variable is included along with my predictor variables. That is, I am
> getting a MeanDecreaseGini for my response variable, and 
> therefore it seems
> as though it is being treated as a predictor variable.
> my code (just in case it helps) :
> comm.RF<-randomForest(model.data,y=model.data$Comm_Heir,mtry=8
> Apologies if it's a stupid question, but I'm new to 
> randomForests. Hopefully
> that makes sense and if anyone can let me know how remedy 
> this situation, I
> would be so grateful.
> Cheers!
> 	[[alternative HTML version deleted]]
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