Implimentation of Wilcox shift effect size with command line interface, "A Robust Nonparametric Measure of Effect Size Based on an Analog of Cohen's d...", R. Wilcox (2018). https://dx.doi.org/10.22237/jmasm/1551905677
Run from command line, shift_effectsize.py -h for help.
Input files should be structured with a column of values per sample, e.g.
Samp1 Samp2 Samp3
4.3 7.5 3.4
4.5 8.3 2.4
Files can be comma/tab separated values, or a Excel .xlsx. File type will be automatically detected.
To test every sample against every other sample, with 95% confidence intervals, use:
shift_effectsize.py input_file_name.csv ALL ALL -o shiftes_results.csv --ci
Results will be saved in a table saved as shiftes_results.csv.
The given effect size is Ω, which ranges between -1 and +1 and is described in Wilcox's paper. As a guide: small 0.1; medium 0.3; large 0.4
To use within Python from shiftES import effectsize, effectsize_ci, difference_dist and see inline documentation.