MDSplot: Multi-dimensional Scaling Plot of Proximity matrix from...

In iRF: iterative Random Forests

Description

Plot the scaling coordinates of the proximity matrix from randomForest.

Usage

MDSplot(rf, fac, k=2, palette=NULL, pch=20, ...)

Arguments

rf	an object of class randomForest that contains the proximity component.
fac	a factor that was used as response to train rf.
k	number of dimensions for the scaling coordinates.
palette	colors to use to distinguish the classes; length must be the equal to the number of levels.
pch	plotting symbols to use.
...	other graphical parameters.

Value

The output of cmdscale on 1 - rf$proximity is returned invisibly.

Note

If k > 2, pairs is used to produce the scatterplot matrix of the coordinates.

Author(s)

Robert Gentleman, with slight modifications by Andy Liaw

See Also

randomForest

Examples

set.seed(1)
data(iris)
iris.rf <- randomForest(Species ~ ., iris, proximity=TRUE,
                        keep.forest=FALSE)
MDSplot(iris.rf, iris$Species)
## Using different symbols for the classes:
MDSplot(iris.rf, iris$Species, palette=rep(1, 3), pch=as.numeric(iris$Species))

iRF documentation built on May 2, 2019, 11:02 a.m.