borsar.stats.compute_regression_t¶

borsar.stats.compute_regression_t(data, preds, return_p=False)[source]¶

Compute regression t values for whole multidimensional data space.

Parameters:	data : numpy array of shape (observations, …) Data to perform regression on. Frist dimension represents observations (for example trials or subjects). preds : numpy array of shape (observations, predictors) Predictor array to use in regression. return_p : bool If True - also return p values. Defaults to False.
Returns:	t_vals : numpy array of shape (predictors, …) T values for all predictors for the original data space. p_vals : numpy array of shape (predictors, …) P values for all predictors for the original data space.