How to perform random forest/cross validation in R

Question

I\'m unable to find a way of performing cross validation on a regression random forest model that I\'m trying to produce.

So I have a dataset containing 1664 explanatory

Answer 1

From the source:

The out-of-bag (oob) error estimate

In random forests, there is no need for cross-validation or a separate test set to get an unbiased estimate of the test set error. It is estimated internally , during the run...

In particular, predict.randomForest returns the out-of-bag prediction if newdata is not given.