Creates empirical ROC curve plot with test results (p-value, eAUC with confidence
interval) displayed in subtitle. If ci_method = 'boot' was used in wmw_test(),
the plot includes confidence bands for the ROC curve constructed using the same
bootstrap resamples used for the AUC confidence interval.
# S3 method for wmw_test
plot(x, combine_plots = TRUE, ...)No return value, called for side effects. Creates a plot visualizing the Wilcoxon-Mann-Whitney test results including distributions, test statistic, and confidence information.
Object of class 'wmw_test' returned by wmw_test()
Logical, whether to return combined plot using patchwork (TRUE) or list of individual plots (FALSE). Only relevant when special_case = TRUE
Additional arguments (not currently used)
When special_case = TRUE was used in wmw_test(), an additional boxplot with
swarmplot overlay is created, showing the eAUC as effect size estimate with
confidence interval in the subtitle (demonstrating the dual interpretation of
eAUC in the location-shift case).