tedana.stats.computefeats2

computefeats2(data, mmix, mask=None, normalize=True)[source]

Convert data to component space using mmix.

Parameters:

  • data ((S x T) array_like) – Input data

  • mmix ((T [x C]) array_like) – Mixing matrix for converting input data to component space, where C is components and T is the same as in data

  • mask ((S,) array_like or None, optional) – Boolean mask array. Default: None

  • normalize (bool, optional) – Whether to z-score output. Default: True

Returns:

data_z ((S x C) numpy.ndarray) – Data in component space