randomForest (version 4.7-1.2)

varImpPlot: 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)), ...)

Value

Invisibly, the importance of the variables that were plotted.

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.

Author

Andy Liaw

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)