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jicamas
2010 Nov 18
1
predict() an rpart() model: how to ignore missing levels in a factor
I am using an algorigm to split my data set into two random sections
repeatedly and constuct a model using rpart() on one, test on the other and
average out the results.
One of my variables is a factor(crop) where each crop type has a code. Some
crop types occur infrequently or singly. when the data set is randomly
split, it may be that the first data set has a crop type which is not
present in