Hi Tim,
As far as I know you can not weigh predictors (and I believe that you really
should not). You may weigh classes (and, in a sense, cases), but this is an
entirely different issue.
--- On Wed, 5/8/09, "H?ring, Tim (LWF)" <Tim.Haering at
lwf.bayern.de> wrote:
> From: "H?ring, Tim (LWF)" <Tim.Haering at lwf.bayern.de>
> Subject: [R] feature weighting in randomForest
> To: r-help at r-project.org
> Received: Wednesday, 5 August, 2009, 5:59 PM
> Hello !
>
> I?m using randomForest for classifacation problems. My
> dataset has 21.000 observations and 96 predictors. I know
> that some predictors of my dataset have more influence to
> classify my data than others.
> Therefore I would like to know if there is a way to weight
> my predictors. I know that for constructing each tree in a
> forest the most influencial predictor is used for
> partitioning the data. But maybe it would have an effect if
> I weight my predictors.
>
> Thanks in advance
>
> TIM
>
>
-----------------------------------------------------------------------------------
>
> Tim Haering
> Bavarian State Institute of Forest Research
> Department of Forest Ecology
> Am Hochanger 11
> D-85354 Freising
>
> http://www.lwf.bayern.de
>
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