eelbrain.datasets.get_uts

eelbrain.datasets.get_uts(utsnd=False, seed=0, nrm=False, vector3d=False)

Create a sample Dataset with 60 cases and random data.

Parameters:
  • utsnd (bool) – Add a sensor by time NDVar (called ‘utsnd’).

  • seed (None | int) – If not None, call numpy.random.seed(seed) to ensure replicability.

  • nrm (bool) – Add a nested random effect Factor “nrm” (nested in A).

  • vector3d (bool) – Add a space x time vector time series as v3d.

Returns:

ds – Datasets with data from random distributions.

Return type:

Dataset