- y : NDVar
Dependent variable.
- x : categorial | NDVar
Model containing the cells which should be compared, or NDVar to which
y should be compared. In the latter case, the next three parameters
are ignored.
- c1 : str | tuple | None
Test condition (cell of x). c1 and c0 can be omitted if
x only contains two cells, in which case cells will be used in
alphabetical order.
- c0 : str | tuple | None
Control condition (cell of x).
- match : categorial
Units within which measurements are related (e.g. ‘subject’ in a
within-subject comparison).
- sub : index
Perform the test with a subset of the data.
- ds : None | Dataset
If a Dataset is specified, all data-objects can be specified as
names of Dataset variables.
- samples : int
Number of samples for permutation test (default 10000).
- tmin : scalar
Threshold value for forming clusters.
- tfce : bool | scalar
Use threshold-free cluster enhancement. Use a scalar to specify the
step of TFCE levels (for tfce is True, 0.1 is used).
- tstart : scalar
Start of the time window for the permutation test (default is the
beginning of y).
- tstop : scalar
Stop of the time window for the permutation test (default is the
end of y).
- parc : str
Collect permutation statistics for all regions of the parcellation of
this dimension. For threshold-based test, the regions are disconnected.
- force_permutation: bool
Conduct permutations regardless of whether there are any clusters.
- norm : bool
Use the vector norm as univariate test statistic (instead of Hotelling’s
T-Square statistic).
- mintime : scalar
Minimum duration for clusters (in seconds).
- minsource : int
Minimum number of sources per cluster.
