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dengemann authored and larsoner committed Jul 23, 2015
1 parent 7c481e1 commit 3f643eb
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2 changes: 2 additions & 0 deletions doc/conf.py
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'sphinx.ext.pngmath',
'sphinx.ext.mathjax',
'numpy_ext.numpydoc',
# 'sphinx.ext.intersphinx',
# 'flow_diagram',
'sphinxgallery.gen_gallery']

autosummary_generate = True

autodoc_default_flags = ['inherited-members']
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4 changes: 2 additions & 2 deletions tutorials/plot_spatio_temporal_cluster_stats_sensor.py
Expand Up @@ -80,9 +80,9 @@
# array at different times. This reduces the multiple comparison problem.
# To compute the actual test-statistic, we first sum all F-values in all
# clusters. We end up with one statistic for each cluster.
# Then we genereate a distribution from the data by shuffling our conditions
# Then we generate a distribution from the data by shuffling our conditions
# between our samples and recomputing our clusters and the test statistics.
# We test for the signficance of a given cluster by computing the probability
# We test for the significance of a given cluster by computing the probability
# of observing a cluster of that size. For more background read:
# Maris/Oostenveld (2007), "Nonparametric statistical testing of EEG- and
# MEG-data" Journal of Neuroscience Methods, Vol. 164, No. 1., pp. 177-190.
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