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.

# S3 method for class 'outForest'
plot(x, what = c("counts", "scores"), ...)

Arguments

x

An object of class "outForest".

what

What should be plotted? Either "counts" (the default) or "scores".

...

Arguments passed to graphics::barplot() or graphics::stripchart().

Value

A list.

Examples

irisWithOutliers <- generateOutliers(iris, seed = 345)
x <- outForest(irisWithOutliers, verbose = 0)
plot(x)

plot(x, what = "scores")