neurom.stats.compare_two

neurom.stats.compare_two(data1, data2, test=<StatTests.ks: 1>)

Compares two distributions of data

and assess two scores: a distance between them and a probability they are drawn from the same distribution.

Parameters:

• data1 – numpy array of dataset 1
• data2 – numpy array of dataset 2
• test – Stat_tests Defines the statistical test to be used, based on the scipy available modules. Accepted tests: ks_2samp, wilcoxon, ttest

Returns:

float High numbers define high dissimilarity between the two datasets p-value: float Small numbers define high probability the data come from same dataset.

Return type:

dist