cliffs-delta 1.0.0

Python Package to calculate Cliff's delta

This is code to calculate the Cliff's Delta effect size metric, which strangely is not in NumPy/SciPy.stats.

@Timm had this as a gist, and @mtorchiano has R code with tests. I have merged them. Well, Marco's code does a lot more. I merged his tests.

cliffs_delta

The Cliff's Delta statistic is a non-parametric effect size measure that quantifies the amount of difference between two groups of observations beyond p-values interpretation. This measure can be understood as a useful complementary analysis for the corresponding hypothesis testing.

Installation

This package can either be installed using pip or from a tarball using the standard Python distutils.

If you are installing using pip, you don’t need to download anything as the latest version will be downloaded for you from PyPI:

pip install cliffs-delta

Example & Usage

Import the method cliffs_delta from cliffs_delta

from cliffs_delta import cliffs_delta

x1 = [10, 20, 20, 20, 30, 30, 30, 40, 50, 100]
x2 = [10, 20, 30, 40, 40, 50]
d, res = cliffs_delta(x1, x2)

print(d,res)

-0.06666666666666667 negligible