[med-svn] [python-mne] 127/376: cosmit renaming

[Yaroslav Halchenko]

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yoh pushed a commit to annotated tag v0.1
in repository python-mne.

commit 26c2dafce71c6ef0cd122e112a591d366fd69017
Author: Alexandre Gramfort <alexandre.gramfort at inria.fr>
Date:   Sat Mar 12 14:47:22 2011 -0500

    cosmit renaming
---
 examples/stats/plot_cluster_stats_time_frequency.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/examples/stats/plot_cluster_stats_time_frequency.py b/examples/stats/plot_cluster_stats_time_frequency.py
index 11e81ad..04f497b 100644
--- a/examples/stats/plot_cluster_stats_time_frequency.py
+++ b/examples/stats/plot_cluster_stats_time_frequency.py
@@ -65,21 +65,21 @@ times = 1e3 * epochs_condition_1.times # change unit to ms
 
 frequencies = np.arange(7, 30, 3) # define frequencies of interest
 Fs = raw.info['sfreq'] # sampling in Hz
-epochs_coefs_1 = single_trial_power(data_condition_1, Fs=Fs,
+epochs_power_1 = single_trial_power(data_condition_1, Fs=Fs,
                                    frequencies=frequencies,
                                    n_cycles=2, use_fft=False)
 
-epochs_coefs_2 = single_trial_power(data_condition_2, Fs=Fs,
+epochs_power_2 = single_trial_power(data_condition_2, Fs=Fs,
                                    frequencies=frequencies,
                                    n_cycles=2, use_fft=False)
 
-epochs_coefs_1 = epochs_coefs_1[:,0,:,:] # only 1 channel to get a 3D matrix
-epochs_coefs_2 = epochs_coefs_2[:,0,:,:] # only 1 channel to get a 3D matrix
+epochs_power_1 = epochs_power_1[:,0,:,:] # only 1 channel to get a 3D matrix
+epochs_power_2 = epochs_power_2[:,0,:,:] # only 1 channel to get a 3D matrix
                                    ###############################################################################
 # Compute statistic
 threshold = 6.0
 T_obs, clusters, cluster_p_values, H0 = \
-                   permutation_cluster_test([epochs_coefs_1, epochs_coefs_2],
+                   permutation_cluster_test([epochs_power_1, epochs_power_2],
                                n_permutations=100, threshold=threshold, tail=0)
 
 ###############################################################################

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