MDSplot

0th

Percentile

Multi-dimensional Scaling Plot of Proximity matrix from randomForest

Plot the scaling coordinates of the proximity matrix from randomForest.

Keywords
classif, tree
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.

See Also

randomForest

Aliases
  • MDSplot
Examples
# NOT RUN {
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))
# }
Documentation reproduced from package randomForest, version 4.6-14, License: GPL (>= 2)

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