varImpPlot | 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 |
sort |
Should the variables be sorted in decreasing order of importance? |
n.var |
How many variables to show? (Ignored if
|
type, class, scale |
arguments to be passed on to
|
main |
plot title. |
... |
Other graphical parameters to be passed on to
|
Invisibly, the importance of the variables that were plotted.
Andy Liaw andy_liaw@merck.com
RRF
, importance
set.seed(4543) data(mtcars) mtcars.rf <- RRF(mpg ~ ., data=mtcars, ntree=1000, keep.forest=FALSE, importance=TRUE) varImpPlot(mtcars.rf)
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