combine: Combine Ensembles of Trees

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

Description

Combine two more more ensembles of trees into one.

Usage

combine(...)

Arguments

...	two or more objects of class randomForest, to be combined into one.

Value

An object of class randomForest.

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

randomForest, grow

Examples

data(iris)
rf1 <- randomForest(Species ~ ., iris, ntree=50, norm.votes=FALSE)
rf2 <- randomForest(Species ~ ., iris, ntree=50, norm.votes=FALSE)
rf3 <- randomForest(Species ~ ., iris, ntree=50, norm.votes=FALSE)
rf.all <- combine(rf1, rf2, rf3)
print(rf.all)

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: 150
No. of variables tried at each split: 2

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