Bagplot

Produces a bivariate bagplot. A bagplot is analogous to a univariate boxplot, except it is in two dimensions. Like a boxplot, it shows the median, a region containing 50% of the observations, a region showing the remaining observations other than outliers, and any outliers.

Usage

gg_bagplot(data, var1, var2, color = "#00659e", show_points = FALSE, ...)

Arguments

data: A data frame or matrix containing the data.
var1: The name of the first variable to plot (a bare expression).
var2: The name of the second variable to plot (a bare expression).
color: The base color to use for the median. Other colors are generated as a mixture of color with white.
show_points: A logical argument indicating if a regular bagplot is required (FALSE), or if a scatterplot in the same colors is required (TRUE).
...: Other arguments are passed to the compute.bagplot function.

Value

A ggplot object showing a bagplot or scatterplot of the data.

References

Rousseeuw, P J, Ruts, I, & Tukey, J W (1999). The bagplot: A bivariate boxplot. The American Statistician, 52(4), 382–387.

Hyndman, R J (2026) "That's weird: Anomaly detection using R", Section 5.6, https://OTexts.com/weird/.

Author

Rob J Hyndman

Examples

gg_bagplot(n01, v1, v2)

gg_bagplot(n01, v1, v2, show_points = TRUE)