autoplot.lookoutliers: Plots outliers identified by lookout algorithm.

In lookout: Leave One Out Kernel Density Estimates for Outlier Detection

Plots outliers identified by lookout algorithm.

Description

Scatterplot of two columns from the data set with outliers highlighted.

Usage

## S3 method for class 'lookoutliers'
autoplot(object, columns = 1:2, ...)

Arguments

object	The output of the function 'lookout'.
columns	Which columns of the original data to plot (specified as either numbers or strings)
...	Other arguments currently ignored.

Value

A ggplot object.

Examples

X <- rbind(
  data.frame(x = rnorm(500),
             y = rnorm(500)),
  data.frame(x = rnorm(5, mean = 10, sd = 0.2),
             y = rnorm(5, mean = 10, sd = 0.2))
)
lo <- lookout(X)
autoplot(lo)

lookout documentation built on Oct. 14, 2022, 1:09 a.m.