Skip to main content

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

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

shiftES-1.0.4.tar.gz (6.3 kB view hashes)

Uploaded Source

Built Distribution

shiftES-1.0.4-py3-none-any.whl (9.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page