[med-svn] [python-mne] 296/376: misc in manual
Yaroslav Halchenko
debian at onerussian.com
Fri Nov 27 17:23:08 UTC 2015
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yoh pushed a commit to annotated tag v0.1
in repository python-mne.
commit c970a54d9739119b4556a297bb6d260bbedaf193
Author: Alexandre Gramfort <alexandre.gramfort at inria.fr>
Date: Wed Jun 8 18:07:14 2011 -0400
misc in manual
---
doc/source/index.rst | 2 ++
doc/source/manual/matlab.rst | 2 +-
doc/source/manual/reading.rst | 6 +++---
mne/stats/cluster_level.py | 4 ++--
4 files changed, 8 insertions(+), 6 deletions(-)
diff --git a/doc/source/index.rst b/doc/source/index.rst
index 996b76e..9cd6dea 100755
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -12,6 +12,8 @@ converted from other file formats.
* Get started with :ref:`mne_python`
* :ref:`example_command_line`
* Join the MNE `mailing list <http://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis>`_
+ * `Help/Feature Request/Bug Report <mailto:mne_support at nmr.mgh.harvard.edu>`_
+ * :ref:`ch_reading`
Manual
======
diff --git a/doc/source/manual/matlab.rst b/doc/source/manual/matlab.rst
index 7f422df..044a323 100755
--- a/doc/source/manual/matlab.rst
+++ b/doc/source/manual/matlab.rst
@@ -414,7 +414,7 @@ they are listed in :ref:`BGBEFADJ`.
.. _BGBEFADJ:
-.. table:: Examples demostrating the use of the toolbox.
+.. table:: Examples demonstrating the use of the toolbox.
+--------------------------------+--------------------------------------------------------------+
| Function | Purpose |
diff --git a/doc/source/manual/reading.rst b/doc/source/manual/reading.rst
index dc251b4..248972e 100755
--- a/doc/source/manual/reading.rst
+++ b/doc/source/manual/reading.rst
@@ -2,9 +2,9 @@
.. _ch_reading:
-==============
-Useful reading
-==============
+====================
+Related publications
+====================
General MEG reviews
###################
diff --git a/mne/stats/cluster_level.py b/mne/stats/cluster_level.py
index 88faea7..63dc41a 100644
--- a/mne/stats/cluster_level.py
+++ b/mne/stats/cluster_level.py
@@ -69,9 +69,9 @@ def _find_clusters(x, threshold, tail=0, connectivity=None):
else:
x_in = np.abs(x) > threshold
- labels, n_labels = ndimage.label(x_in)
-
if connectivity is None:
+ labels, n_labels = ndimage.label(x_in)
+
if x.ndim == 1:
clusters = ndimage.find_objects(labels, n_labels)
sums = ndimage.measurements.sum(x, labels,
--
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