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
library(randomForest) 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 4.6-12, License: GPL (>= 2)

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