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.
data (Dataset) – If a Dataset is specified, all data-objects can be specified as
names of Dataset variables.
tail (0 | 1 | -1) – Which tail of the t-distribution to consider:
0: both (two-tailed, default);
1: upper tail (one-tailed);
-1: lower tail (one-tailed).
samples (int) – Number of samples for permutation test (default 10,000).
pmin (float) – Threshold for forming clusters: use a t-value equivalent to an
uncorrected p-value.
tmin (float) – Threshold for forming clusters as t-value.
tfce (Union[float, 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.
mintime (scalar) – Minimum duration for clusters (in seconds).
minsource (int) – Minimum number of sources per cluster.