combine.RdCombine two more more ensembles of trees into one.
combine(...)
| ... | two or more objects of class |
|---|
An object of class randomForest.
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) 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)#> #> 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 #>