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 : Dataset

Datasets with data from random distributions.