neurom.stats.compare_two¶
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neurom.stats.
compare_two
(data1, data2, test=<StatTests.ks: 1>)[source]¶ - 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