acore.enrichment_analysis.statistical_tests.kolmogorov_smirnov module

acore.enrichment_analysis.statistical_tests.kolmogorov_smirnov module#

run_kolmogorov_smirnov(dist1: list[float], dist2: list[float], alternative: str = 'two-sided') → tuple[float, float][source]#

Compute the Kolmogorov-Smirnov statistic on 2 samples. See scipy.stats.ks_2samp

Parameters:

  • dist1 (list) – sequence of 1-D ndarray (first distribution to compare) drawn from a continuous distribution

  • dist2 (list) – sequence of 1-D ndarray (second distribution to compare) drawn from a continuous distribution

  • alternative (str) – defines the alternative hypothesis (default is ‘two-sided’): * ‘two-sided’ * ‘less’ * ‘greater’

Returns:

statistic float and KS statistic pvalue float Two-tailed p-value.

Example:

result = run_kolmogorov_smirnov(dist1, dist2, alternative='two-sided')