plot.outForest: Plots outForest

In outForest: Multivariate Outlier Detection and Replacement

Plots outForest

Description

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.

Usage

## 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")

outForest documentation built on May 31, 2023, 5:55 p.m.