grow.RdAdd additional trees to an existing ensemble of trees.
# S3 method for randomForest grow(x, how.many, ...)
| x | an object of class |
|---|---|
| how.many | number of trees to add to the |
| ... | currently ignored. |
An object of class randomForest, containing how.many
additional trees.
The confusion, err.rate, mse and rsq
components (as well as the corresponding components in the test
compnent, if exist) of the combined object will be NULL.
data(iris) iris.rf <- randomForest(Species ~ ., iris, ntree=50, norm.votes=FALSE) iris.rf <- grow(iris.rf, 50) print(iris.rf)#> #> Call: #> randomForest(formula = Species ~ ., data = iris, ntree = 50, norm.votes = FALSE) #> Type of random forest: classification #> Number of trees: 100 #> No. of variables tried at each split: 2 #>