[R] [handling] Missing [values in randomForest]

[Jim Porzak]

On 9/11/05, Uwe Ligges <ligges at statistik.uni-dortmund.de> wrote:
> Jan-Paul Roodbol wrote:
> 
> > Does anyone know if randomForest in R can handle
> > dataset with missings?
> 
> See ?randomForest, you can omit observations including NAs by specifying
> na.action=na.omit

Uwe, 
While strictly true, this tells randomForest to ignore any rows with
one or more NAs in the predictor variables.

Since, randomForest is often used for problems with a lot of
(canidate) predictors, na.omit can result in a lot of rows being
discarded. Hence, my reply to Jan-Paul's original posting suggesting
the impute functions in randomForest.

JIm Porzak

> Please do not cross-post!
> Please specify a sensible subject!
> 
> Uwe Ligges
> 
> 
> > Thank you
> >
> > Kind regards
> >
> > Jan-Paul
> >
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