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
library(randomForest) 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 4.6-12, License: GPL (>= 2)

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