RRF: varImpPlot – R documentation

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Documentation

RRF

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)), ...)

Arguments

`x`	An object of class `RRF`.
`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 <- RRF(mpg ~ ., data=mtcars, ntree=1000, keep.forest=FALSE,
                          importance=TRUE)
varImpPlot(mtcars.rf)

RRF

Regularized Random Forest

v1.9.1

GPL (>= 2)

Authors

Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener, Regularized random forest for classification by Houtao Deng. Regularized random forest for regression by Xin Guan.

Initial release

2018-07-16