varImpPlot
From randomForest v4.6-14
by Andy Liaw
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
Examples
# NOT RUN {
set.seed(4543)
data(mtcars)
mtcars.rf <- randomForest(mpg ~ ., data=mtcars, ntree=1000, keep.forest=FALSE,
importance=TRUE)
varImpPlot(mtcars.rf)
# }
Community examples
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