mne.stats.ttest_1samp_no_p#
- mne.stats.ttest_1samp_no_p(X, sigma=0, method='relative')[source]#
Perform one-sample t-test.
This is a modified version of
scipy.stats.ttest_1samp()that avoids a (relatively) time-consuming p-value calculation, and can adjust for implausibly small variance values [1].- Parameters:
- X
array Array to return t-values for.
- sigma
float The variance estimate will be given by
var + sigma * max(var)orvar + sigma, depending on “method”. By default this is 0 (no adjustment). See Notes for details.- method
str If ‘relative’, the minimum variance estimate will be sigma * max(var), if ‘absolute’ the minimum variance estimate will be sigma.
- X
- Returns:
- t
array T-values, potentially adjusted using the hat method.
- t
Notes
To use the “hat” adjustment method [1], a value of
sigma=1e-3may be a reasonable choice.References
