`autoplot.persistingoutliers.Rd`

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, ...)

object | The output of the function `persisting_outliers`. |
---|---|

alpha | The significance levels to plot. |

... | Other arguments currently ignored. |

A ggplot object.

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)