var.imp.plot {randomForest}R Documentation

Variable Importance Plot

Description

Dotchart of variable importance as measured by a Random Forest

Usage

var.imp.plot(x, sort=TRUE, 
    n.var=min(50, if(is.null(dim(x$importance)))
            length(x$importance) else nrow(x$importance)),
    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.)
main plot title.
... Other graphical parameters.

Value

Invisibly, the importance of the variables.

Author(s)

Andy Liaw andy_liaw@merck.com

See Also

randomForest

Examples

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

[Package Contents]