R: Variable Importance Plot

varImpPlot {RRF} | 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 `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

### See Also

`RRF`, `importance`

### Examples

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

[Package RRF version 1.9.4 Index]