R Graphical Manual

Browse All

Last data update: 2014.03.03

R: Variable Importance Plot

varImpPlot

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

Examples

set.seed(4543)
data(mtcars)
mtcars.rf <- randomForest(mpg ~ ., data=mtcars, ntree=1000, keep.forest=FALSE,
                          importance=TRUE)
varImpPlot(mtcars.rf)