mne.stats.f_oneway¶

mne.stats.
f_oneway
(*args)[source]¶ Perform a 1way ANOVA.
The oneway 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 pvalue. Parameters
 *argsarray_like
The sample measurements should be given as arguments.
 Returns
 Fvalue
float
The computed Fvalue of the test.
 Fvalue
Notes
The ANOVA test has important assumptions that must be satisfied in order for the associated pvalue to be valid.
The samples are independent
Each sample is from a normally distributed population
The population standard deviations of the groups are all equal. This property is known as homocedasticity.
If these assumptions are not true for a given set of data, it may still be possible to use the KruskalWallis Htest (
scipy.stats.kruskal()
) although with some loss of powerThe algorithm is from Heiman [2], pp.3947.
References