plot.gg_vimp: Plot a 'gg_vimp' object, extracted variable importance of a...

In ggRandomForests: Visually Exploring Random Forests

Plot a gg_vimp object, extracted variable importance of a rfsrc object

Description

Plot a gg_vimp object, extracted variable importance of a rfsrc object

Usage

## S3 method for class 'gg_vimp'
plot(x, relative, lbls, ...)

Arguments

x	gg_vimp object created from a rfsrc object
relative	should we plot vimp or relative vimp. Defaults to vimp.
lbls	A vector of alternative variable labels. Item names should be the same as the variable names.
...	optional arguments passed to gg_vimp if necessary

Value

ggplot object

References

Breiman L. (2001). Random forests, Machine Learning, 45:5-32.

Ishwaran H. and Kogalur U.B. (2007). Random survival forests for R, Rnews, 7(2):25-31.

Ishwaran H. and Kogalur U.B. randomForestSRC: Random Forests for Survival, Regression and Classification. R package version >= 3.4.0. https://cran.r-project.org/package=randomForestSRC

See Also

gg_vimp

Examples

## ------------------------------------------------------------
## classification example
## ------------------------------------------------------------
## -------- iris data
rfsrc_iris <- rfsrc(Species ~ ., data = iris)
gg_dta <- gg_vimp(rfsrc_iris)
plot(gg_dta)

## ------------------------------------------------------------
## regression example
## ------------------------------------------------------------
## -------- air quality data
rfsrc_airq <- rfsrc(Ozone ~ ., airquality)
gg_dta <- gg_vimp(rfsrc_airq)
plot(gg_dta)

ggRandomForests documentation built on May 12, 2026, 5:07 p.m.