varImpPlot {randomForest}R Documentation

Variable Importance Plot

Description

Dotchart of variable importance as measured by a Random Forest

Usage

varImpPlot(x, sort=TRUE, n.var=min(30, nrow(x$importance)),
           type=NULL, class=NULL, scale=TRUE, 
           main=deparse(substitute(x)), ...)

Arguments

x An object of class randomForest.
sort Should the variables be sorted in decreasing order of importance?
n.var How many variables to show? (Ignored if sort=FALSE.)
type, class, scale arguments to be passed on to importance
main plot title.
... Other graphical parameters to be passed on to dotchart.

Value

Invisibly, the importance of the variables that were plotted.

Author(s)

Andy Liaw andy_liaw@merck.com

See Also

randomForest, importance

Examples

set.seed(4543)
data(mtcars)
mtcars.rf <- randomForest(mpg ~ ., data=mtcars, ntree=1000, keep.forest=FALSE,
                          importance=TRUE)
varImpPlot(mtcars.rf)
[Package randomForest version 4.5-16 Index]