varImpPlot {randomForest} | R Documentation |
Dotchart of variable importance as measured by a Random Forest
varImpPlot(x, sort=TRUE, n.var=min(30, nrow(x$importance)), type=NULL, class=NULL, scale=TRUE, main=deparse(substitute(x)), ...)
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 . |
Invisibly, the importance of the variables that were plotted.
Andy Liaw andy_liaw@merck.com
set.seed(4543) data(mtcars) mtcars.rf <- randomForest(mpg ~ ., data=mtcars, ntree=1000, keep.forest=FALSE, importance=TRUE) varImpPlot(mtcars.rf)