data : ndarray
3D array where the first two dimensions are compliant
with a subjects X conditions scheme where the first
factor repeats slowest:
A1B1 A1B2 A2B1 A2B2
subject 1 1.34 2.53 0.97 1.74
subject ... .... .... .... ....
subject k 2.45 7.90 3.09 4.76
The last dimensions is thought to carry the observations
for mass univariate analysis.
factor_levels : list-like
The number of levels per factor.
effects : str | list
A string denoting the effect to be returned. The following
mapping is currently supported (example with 2 factors):
'A': main effect of A'B': main effect of B'A:B': interaction effect'A+B': both main effects'A*B': all three effects'all': all effects (equals ‘A*B’ in a 2 way design)
If list, effect names are used: ['A', 'B', 'A:B'].
alpha : float
The significance threshold.
correction : bool
The correction method to be employed if one factor has more than two
levels. If True, sphericity correction using the Greenhouse-Geisser
method will be applied.
return_pvals : bool
If True, return p values corresponding to f values.
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