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