I am trying to perform classification using R's adabag package.
The following call works perfectly with R's ada package's ada() function.
model<-ada(factor(label)~., data=trainingdata)
But when the same training data set is used in the following adabag's function call, it returns an error:
model<-boosting(factor(label)~., data=trainingdata)
Error in `[.data.frame`(data, , as.character(formula[[2]])) :
undefined columns selected
What this error suggests exactly?
I get exactly that error message when running a minor modification of boosting
's first example:
> data(iris)
> iris.adaboost <- boosting(factor(Species)~., data=iris, boos=TRUE, mfinal=10)
Error in `[.data.frame`(data, , as.character(formula[[2]])) :
undefined columns selected
So you should try the advice I just gave in a comment (to do the factor()-ing beforehand). The formula interface to boosting
is not full featured enough to even handle the factor
function in its parse-tree.