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(30, if(is.null(dim(x$importance)))
            length(x$importance) else nrow(x$importance)),
    class=NULL,
    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.)
class For classification data, an integer or string indicating the class for which variable importance is seeked.
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)

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