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Hi,
I am applying "permutation_cluster_1samp_test " on my power and itc data.
I am wondering whether I should not use the baseline correction for the
time-frequency data before doing the statistical analysis.
I have attached my code here. When I do the "*apply_baseline*" on each
condition and then do "*permutation_cluster_1samp_test*", I got the
following error, however, if I don't do the "*apply_baseline*" it works
fine. It does not make sense to me why it should not work after applying
the baseline correction.
cond1 = power_avgAll[set_btlc[loc][0]] # <AverageTFR>,
cond.data.shape: (chan X freq X time)
cond2 = power_avgAll[set_btlc[loc][1]]
baseline = (-0.4, -0.3)
cond1.apply_baseline(baseline, mode='mean')
cond2.apply_baseline(baseline, mode='mean')
tfce = dict(start=0, step=.2)
thresh = 0.05
n_permutations = 100000
X = diff = (cond1.data - cond2.data)
T_obs, clusters, cluster_p_values, H0 = \
permutation_cluster_1samp_test(X, tfce, n_permutations,
tail=0)
*Error:*
File
"/Users/MA/anaconda3/lib/python3.6/site-packages/mne/stats/cluster_level.py",
line 316, in _find_clusters
threshold['step'], float)
ValueError: arange: cannot compute length
-Mary
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