I'm testing the randomForest package in order to do some simulations and I get some trouble with the prediction of new values. The random forest computation is fine but each time I try to predict values with the newly created object, I get an error message. I thought I was because NA values in the dataframe, but I cleaned them and still got the same error. What am I doing wrong ?
> library(mlbench)
> library(randomForest)
> data(Soybean)
> test <- sample(1:683, 150, replace=F)
> sb.rf <- randomForest(Class~., data=Soybean[-test,])
> sb.rf.pred <- predict(sb.rf, Soybean[test,])
Error in matrix(t1$countts, nr = nclass, nc = ntest) :
No data to replace in matrix(...)I did it the same way with rpart and all worked fine : > library(rpart) > sb.rp <- rpart(Class~., data=Soybean[-test,]) > sb.rp.pred <- predict(sb.rp, Soybean[test,], type="class")
Thank you all for any advice you can give to me.
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