DistDiff
is a set of functions for visualizing differences between two distributions.
This package contains functions that plot:
-
two distributions side by side for comparison, with automatically logged axis when necessary, and returns Wilcoxon tests results (
comp.dist.plot
); -
Cliff's Delta effect size and the confidence interval (
effsize.range.plot
).
For a complete list of functions, use help(package = "distdiff")
Install DistCompare from Github
install.packages("devtools") # if you haven't installed devtools
library(devtools)
install_github("lindayi/distdiff")
-
Support for Cohen's d and Hedges' g for effect size
-
Support for customizing thresholds for effect size
Please consider citing the following paper when using this package and the visualization style of effect size:
Lin, D., Bezemer, C. P., & Hassan, A. E. (2018). An empirical study of early access games on the Steam platform. Empirical Software Engineering, 23(2), 771-799.