mne.stats.
spatio_temporal_cluster_test
(X, threshold=1.67, n_permutations=1024, tail=0, stat_fun=<function f_oneway>, connectivity=None, verbose=None, n_jobs=1, seed=None, max_step=1, spatial_exclude=None, step_down_p=0, t_power=1, out_type='indices', check_disjoint=False, buffer_size=1000)[source]¶Non-parametric cluster-level test for spatio-temporal data.
This function provides a convenient wrapper for data organized in the form
(observations x time x space) to use
mne.stats.permutation_cluster_test()
. See [R181181] for more information.
Parameters: | X: list of arrays
threshold: float
n_permutations: int
tail : -1 or 0 or 1 (default = 0)
stat_fun : function
connectivity : sparse matrix or None
verbose : bool, str, int, or None
n_jobs : int
seed : int | instance of RandomState | None
max_step : int
spatial_exclude : list of int or None
step_down_p : float
t_power : float
out_type : str
check_disjoint : bool
buffer_size: int or None
|
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Returns: | T_obs : array, shape (n_times * n_vertices,)
clusters : list
cluster_pv: array
H0 : array, shape (n_permutations,)
|
References
[R181181] | (1, 2) Maris/Oostenveld (2007), “Nonparametric statistical testing of EEG- and MEG-data”, Journal of Neuroscience Methods, Vol. 164, No. 1., pp. 177-190. doi:10.1016/j.jneumeth.2007.03.024. |
mne.stats.spatio_temporal_cluster_test
¶