Hi Peter,
Hi MNE list,
I'm having a bit of trouble on getting group level sensor space stats
going. I've run similar in Fieldtrip and just create an array (or matrix in
matlab speak) consisting of participants x channels x samples, and looking
through the examples it seems we need to work directly with the array data
too. But none of the functions I've used seem to accept anything other than
a 2d array (3d for TF) and all the examples seem to either be single
channel or one sample t-tests.
you can use all `mne.stats.permutation_cluster_XXX` functions. They accept
mutli-dimensional arrays as input. Irrespective of the cluster-forming stat
used (t-test, f-test) they will perform a cluster permutation test.
For sensor space data you first have to assemble a corresponding matrix /
array.
X = np.array([e.data for e in m_evoeds])
To yield meaningful results you need to specify a connectivity structure,
e.g., based on the fieldtrip neighbor definitions.
C.f. https://github.com/mne-tools/mne-python/pull/1306 which we recently
added.
The input matrix is then expected to be of size n_subjects, n_times,
n_channels.
HTH,
Denis
Are group level stats available currently or does something need to be
written / cobbled together to get them to work?
Thanks for any help,
Peter
__________________________
Peter Goodin,
BSc (Hons), Ph.D Candidate.
Brain and Psychological Sciences Research Centre (BPsych)
Swinburne University,
Hawthorn, Vic, 3122
http://www.swinburne.edu.au/swinburneresearchers/index.php?fuseaction=profile&pid=4149
Monash Alfred Psychiatry Research Centre (MAPrc)
Level 4, 607 St Kilda Road,
Melbourne 3004
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