This function can plot aspects of an "outForest" object.
With what = "counts"
, the number of outliers per variable is visualized as a
barplot.
With what = "scores"
, outlier scores (i.e., the scaled difference between
predicted and observed value) are shown as scatterplot per variable.
An object of class "outForest".
What should be plotted? Either "counts"
(the default) or "scores"
.
Arguments passed to graphics::barplot()
or graphics::stripchart()
.
A list.
irisWithOutliers <- generateOutliers(iris, seed = 345)
x <- outForest(irisWithOutliers, verbose = 0)
plot(x)
plot(x, what = "scores")