The help page for randomForest shows na.action=na.fail as a parameter, and does not describe other possibilities for na.action.
I have a regression problem, with about 1000 rows in my data frame, and with an NA in occasional predictor variables, in about 5% of rows. I would like to have all rows included in the analysis, to the extent possible. (That seems to be possible in rpart, for example.) Is it possible to specify that rows with a few NA's should be included in the randomForest analysis? If so, how?
I don't know the design of randomForest, but if the authors have implemented na.action as in other functions, you can specify your own function here (typical one uses na.fail or na.omit).
Uwe Ligges
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