weird (version 1.0.2)

gg_bagplot: Bagplot

Description

Produces a bivariate bagplot. A bagplot is analagous 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,
  col = c(hdr_palette(color = "#00659e", prob = c(0.5, 0.99)), "#000000"),
  scatterplot = FALSE,
  ...
)

Value

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

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).

col

The colors to use in the order: median, bag, loop and outliers.

scatterplot

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.

Author

Rob J Hyndman

References

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

See Also

bagplot

Examples

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