Plot the scaling coordinates of the proximity matrix from randomForest.
MDSplot(rf, fac, k=2, palette=NULL, pch=20, ...)
an object of class randomForest
that contains
the proximity
component.
a factor that was used as response to train rf
.
number of dimensions for the scaling coordinates.
colors to use to distinguish the classes; length must be the equal to the number of levels.
plotting symbols to use.
other graphical parameters.
The output of cmdscale
on 1 - rf$proximity
is
returned invisibly.
# NOT RUN { set.seed(1) data(iris) iris.rf <- randomForest(Species ~ ., iris, proximity=TRUE, keep.forest=FALSE) MDSplot(iris.rf, iris$Species) ## Using different symbols for the classes: MDSplot(iris.rf, iris$Species, palette=rep(1, 3), pch=as.numeric(iris$Species)) # }