mne.stats.
f_oneway
(*args)[source]¶Perform a 1-way ANOVA.
The one-way ANOVA tests the null hypothesis that 2 or more groups have the same population mean. The test is applied to samples from two or more groups, possibly with differing sizes [1].
This is a modified version of scipy.stats.f_oneway()
that avoids
computing the associated p-value.
Parameters: |
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Returns: |
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Notes
The ANOVA test has important assumptions that must be satisfied in order for the associated p-value to be valid.
If these assumptions are not true for a given set of data, it may still be
possible to use the Kruskal-Wallis H-test (scipy.stats.kruskal()
)
although with some loss of power
The algorithm is from Heiman [2], pp.394-7.
References
[1] | (1, 2) Lowry, Richard. “Concepts and Applications of Inferential Statistics”. Chapter 14. http://faculty.vassar.edu/lowry/ch14pt1.html |
[2] | (1, 2) Heiman, G.W. Research Methods in Statistics. 2002. |