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
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