grow: Add trees to an ensemble

In randomForest: Breiman and Cutler's random forests for classification and regression

Description

Add additional trees to an existing ensemble of trees.

Usage

## S3 method for class 'randomForest'
grow(x, how.many, ...)

Arguments

x	an object of class randomForest, which contains a forest component.
how.many	number of trees to add to the randomForest object.
...	currently ignored.

Value

An object of class randomForest, containing how.many additional trees.

Note

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.

Author(s)

Andy Liaw andy\[e-mail]

See Also

combine, randomForest

Examples

data(iris)
iris.rf <- randomForest(Species ~ ., iris, ntree=50, norm.votes=FALSE)
iris.rf <- grow(iris.rf, 50)
print(iris.rf)

Example output

randomForest 4.6-12
Type rfNews() to see new features/changes/bug fixes.

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

randomForest documentation built on May 2, 2019, 5:54 p.m.