varImpPlot

0th

Percentile

Variable Importance Plot

Dotchart of variable importance as measured by a Random Forest

Keywords
regression, classif, tree
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.

See Also

randomForest, importance

Aliases
  • varImpPlot
Examples
# NOT RUN {
set.seed(4543)
data(mtcars)
mtcars.rf <- randomForest(mpg ~ ., data=mtcars, ntree=1000, keep.forest=FALSE,
                          importance=TRUE)
varImpPlot(mtcars.rf)
# }
Documentation reproduced from package randomForest, version 4.6-14, License: GPL (>= 2)

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