y (NDVar | str) – Dependent variable.
x (Factor | Interaction | NestedEffect | str | 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[str, ...]) – 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[str, ...]) – Control condition (cell of x).
match (Factor | Interaction | NestedEffect | str) – Units within which measurements are related (e.g. ‘subject’ in a
within-subject comparison).
sub (Var | ndarray | str) – Perform the test with a subset of the data.
data (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 (float) – Threshold value for forming clusters.
tfce (bool) – Use threshold-free cluster enhancement. Use a scalar to specify the
step of TFCE levels (for tfce is True, 0.1 is used).
tstart (float) – Start of the time window for the permutation test (default is the
beginning of y).
tstop (float) – 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 (float) – Minimum duration for clusters (in seconds).
minsource (int) – Minimum number of sources per cluster.