RRF: plot.RRF – R documentation

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RRF

plot.RRF

Plot method for RRF objects

Description

Plot the error rates or MSE of a RRF object

Usage

## S3 method for class 'RRF'
plot(x, type="l", main=deparse(substitute(x)), ...)

Arguments

`x`	an object of class `RRF`.
`type`	type of plot.
`main`	main title of the plot.
`...`	other graphical parameters.

Value

Invisibly, the error rates or MSE of the RRF object. If the object has a non-null test component, then the returned object is a matrix where the first column is the out-of-bag estimate of error, and the second column is for the test set.

Note

This function does not work for RRF objects that have type=unsupervised.

If the x has a non-null test component, then the test set errors are also plotted.

Author(s)

Andy Liaw

Examples

data(mtcars)
plot(RRF(mpg ~ ., mtcars, keep.forest=FALSE, ntree=100), log="y")

RRF

Regularized Random Forest

v1.9.1

GPL (>= 2)

Authors

Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener, Regularized random forest for classification by Houtao Deng. Regularized random forest for regression by Xin Guan.

Initial release

2018-07-16