This function plots outlier persistence for a range of significance levels using the algorithm lookout, an outlier detection method that uses leave-one-out kernel density estimates and generalized Pareto distributions to find outliers.

# S3 method for persistingoutliers
autoplot(object, alpha = object$alpha, ...)

Arguments

object

The output of the function `persisting_outliers`.

alpha

The significance levels to plot.

...

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) ) ) plot(X, pch = 19)
outliers <- persisting_outliers(X, unitize = FALSE) autoplot(outliers)