[R] Problems using rfImpute

[Birgit Lemcke]

Hello R-user!

I am running R 2.7.0 on a Power Book (Tiger). (I am still R and  
statistics beginner)

I tried rfImpute (randomForest) and as far as I understood should it  
replace NA`s using a proximity matrix:

 > set.seed(100000)
 > Subset5Imputed<-rfImpute(Sex~., data=Subset5)
ntree      OOB      1      2
300:  11.78% 12.36% 11.21%
ntree      OOB      1      2
300:  12.07% 12.64% 11.49%
ntree      OOB      1      2
300:  11.49% 11.21% 11.78%
ntree      OOB      1      2
300:  12.50% 12.93% 12.07%
ntree      OOB      1      2
300:  12.07% 12.36% 11.78%
 > str(Subset5Imputed)

'data.frame':	696 obs. of  24 variables:
$ Sex                        : Factor w/ 2 levels "0","1": 2 2 2 2 2  
2 2 2 2 2 ...
$ InfSpath_caducuous         : Factor w/ 3 levels "0","1","NA": 1 1 1  
1 1 1 1 1 1 1 ...
$ InfType_sparsely_paniculate: Factor w/ 3 levels "0","1","NA": 1 1 1  
3 1 1 1 1 1 1 ...

But there are still NA`s in the data frame. Sorry if this reason is  
only ma stupididty and thanks for answering in advance.

B.


Birgit Lemcke
Institut für Systematische Botanik
Zollikerstrasse 107
CH-8008 Zürich
Switzerland
Ph: +41 (0)44 634 8351
birgit.lemcke at systbot.uzh.ch

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