compTanovaEffect: Compute generalized dissimilarity

In tdeenes/eegR: Analyze EEG Signals

Description

compTanovaEffect computes the generalized effect size measure as given in Koenig & Melie-Garcia, 2009, p177. This is an internal function called by the high-level function tanova.

Usage

compTanovaEffect(obj, new_indices = NULL, attribs = FALSE)

Arguments

obj	a list object as returned by preAnova
new_indices	if not NULL (default), it must be a vector of numeric indices to be passed to the model matrix. This parameter is used for permutation-based analyses.
attribs	a logical value if dimension attributes should be attached to the resulting array (default: FALSE)

Value

This function returns a numeric matrix of effects if 'attribs' is FALSE, and an array of effects if 'attribs' is TRUE.

tdeenes/eegR documentation built on April 19, 2021, 4:17 p.m.