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Implimentation of "A Robust Nonparametric Measure of Effect Size Based on an Analog of Cohens d...", R. Wilcox (2018). https://dx.doi.org/10.22237/jmasm/1551905677

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shiftES

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, python calculate_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

etc...

To test every sample against every other sample in a table saved as data.csv use:
python calculate_effectsize.py data.csv ALL ALL -o results.csv

To use within Python from shiftES import effectsize, effectsize_ci, difference_dist and see inline documentation.

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