grow.Rd
Add 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 #>