[med-svn] [python-mne] 04/52: DOC: few typos spotted while browsing the docs

Yaroslav Halchenko debian at onerussian.com
Fri Nov 27 17:23:43 UTC 2015


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yoh pushed a commit to annotated tag v0.2
in repository python-mne.

commit 44a5ef5241a748b2f77c62fdcda6334220c6af45
Author: Yaroslav Halchenko <debian at onerussian.com>
Date:   Sun Sep 25 21:16:08 2011 -0400

    DOC: few typos spotted while browsing the docs
---
 doc/source/command_line_tutorial.rst | 2 +-
 doc/source/manual/AppInstall.rst     | 2 +-
 doc/source/manual/cookbook.rst       | 6 +++---
 doc/source/manual/forward.rst        | 4 ++--
 doc/source/manual/intro.rst          | 2 +-
 doc/source/manual/matlab.rst         | 6 +++---
 doc/source/manual/mne.rst            | 2 +-
 7 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/doc/source/command_line_tutorial.rst b/doc/source/command_line_tutorial.rst
index c3be87a..b66b2a2 100644
--- a/doc/source/command_line_tutorial.rst
+++ b/doc/source/command_line_tutorial.rst
@@ -21,7 +21,7 @@ Build your source space::
 
 Prepare for forward computation::
 
-    # For homegenious volume conductor
+    # For homogeneous volume conductor
     mne_setup_forward_model --homog --surf --ico 4
 
     # or for XXX
diff --git a/doc/source/manual/AppInstall.rst b/doc/source/manual/AppInstall.rst
index 8befa0a..ec35def 100644
--- a/doc/source/manual/AppInstall.rst
+++ b/doc/source/manual/AppInstall.rst
@@ -89,7 +89,7 @@ need to install the netpbm package. The recommended way to do this
 is to use the MacPorts Project tools, see http://www.macports.org/:
 
 - If you have not installed the MacPorts
-  sofware, goto http://www.macports.org/install.php and follow the
+  software, goto http://www.macports.org/install.php and follow the
   instructions to install MacPorts.
 
 - Install the netpbm package by saying: ``sudo port install netpbm``
diff --git a/doc/source/manual/cookbook.rst b/doc/source/manual/cookbook.rst
index dbb16e2..cf19a29 100644
--- a/doc/source/manual/cookbook.rst
+++ b/doc/source/manual/cookbook.rst
@@ -64,7 +64,7 @@ MRI viewer, MRIlab, can be used to access the MRI slice data created
 by FreeSurfer . In addition, the
 Neuromag MRI directories can be used for storing the MEG/MRI coordinate
 transformations created with mne_analyze ,
-see :ref:`CACEHGCD`. Doring the computation of the forward
+see :ref:`CACEHGCD`.  During the computation of the forward
 solution, mne_do_forwand_solution searches
 for the MEG/MRI coordinate in the Neuromag MRI directories, see :ref:`BABCHEJD`. The fif files created by mne_setup_mrit can
 be loaded into Matlab with the fiff_read_mri function,
@@ -78,7 +78,7 @@ by default they are T1 and brain. This default can be changed by
 specifying the sets by one or more ``--mri`` options.
 
 The script creates the directories ``mri/`` <*name*> ``-neuromag/slices`` and ``mri/`` <*name*> ``-neuromag/sets`` .
-If the the input data set is in COR format, mne_setup_mri makes
+If the input data set is in COR format, mne_setup_mri makes
 symbolic links from the COR files in the directory ``mri/`` <*name*> into ``mri/`` <*name*> ``-neuromag/slices`` ,
 and creates a corresponding fif file COR.fif in ``mri/`` <*name*> ``-neuromag/sets`` ..
 This "description file" contains references to
@@ -324,7 +324,7 @@ the forward solutions:
 
 This step assigns the conductivity values to the BEM compartments.
 For the scalp and the brain compartments, the default is 0.3 S/m.
-The defalt skull conductivity is 50 times smaller, *i.e.*,
+The default skull conductivity is 50 times smaller, *i.e.*,
 0.006 S/m. Recent publications, see :ref:`CEGEGDEI`, report
 a range of skull conductivity ratios ranging from 1:15 (Oostendorp *et
 al.*, 2000) to 1:25 - 1:50 (Slew *et al.*,
diff --git a/doc/source/manual/forward.rst b/doc/source/manual/forward.rst
index 4a0a5bb..793137f 100644
--- a/doc/source/manual/forward.rst
+++ b/doc/source/manual/forward.rst
@@ -1327,9 +1327,9 @@ the following command-line options:
 **\---fwd <*name*> :[ <*weight*> ]**
 
     Specifies a forward solution to include. If no weight is specified,
-    1.0 is asssumed. In the averaging process the weights are divided
+    1.0 is assumed. In the averaging process the weights are divided
     by their sum. For example, if two forward solutions are averaged
-    and their spefied weights are 2 and 3, the average is formed with
+    and their specified weights are 2 and 3, the average is formed with
     a weight of 2/5 for the first solution and 3/5 for the second one.
 
 **\---out <*name*>**
diff --git a/doc/source/manual/intro.rst b/doc/source/manual/intro.rst
index cbbac5e..e0ea63d 100644
--- a/doc/source/manual/intro.rst
+++ b/doc/source/manual/intro.rst
@@ -10,7 +10,7 @@ This document describes a set of programs for preprocessing
 and averaging of MEG and EEG data and for constructing cortically-constrained minimum-norm
 estimates. This software package will in the sequel be referred to
 as *MNE software*. The software is based on anatomical
-MRI processing, forward modelling, and source estimation methods published in
+MRI processing, forward modeling, and source estimation methods published in
 Dale, Fischl, Hämäläinen, and others.
 The software depends on anatomical MRI processing tools provided
 by the FreeSurfer software.
diff --git a/doc/source/manual/matlab.rst b/doc/source/manual/matlab.rst
index 1d50736..c137345 100644
--- a/doc/source/manual/matlab.rst
+++ b/doc/source/manual/matlab.rst
@@ -28,8 +28,8 @@ takes place:
   setup lines are there, nothing happens.
 
 A summary of the available routines is provided in Tables :ref:`BGBCGHAG` - :ref:`BGBEFADJ`. The toolbox
-also contains a set of examples which may be usedful starting points
-for your own development. The names of these functions startwith mne_ex and
+also contains a set of examples which may be useful starting points
+for your own development. The names of these functions start with mne_ex and
 they are listed in :ref:`BGBEFADJ`.
 
 .. note:: The MNE Matlab Toolbox is compatible with    Matlab versions 7.0 or later.
@@ -452,7 +452,7 @@ they are listed in :ref:`BGBEFADJ`.
     +--------------------------------+--------------------------------------------------------------+
 
 
-.. note:: In order for the inverse operator calculation to work correctly with data processed with the Elekta-Neuromag Maxfilter (TM) software, the so-called *processing history* block must be included in data files. Previous versions of the MNE Matlab functions did not copy processing history to files saved. As of March 30, 2009, the Matlab toolbox routines fiff_start_writing_raw and fiff_write_evoked have been enchanced to include these data to the output file as appropriate. If you ha [...]
+.. note:: In order for the inverse operator calculation to work correctly with data processed with the Elekta-Neuromag Maxfilter (TM) software, the so-called *processing history* block must be included in data files. Previous versions of the MNE Matlab functions did not copy processing history to files saved. As of March 30, 2009, the Matlab toolbox routines fiff_start_writing_raw and fiff_write_evoked have been enhanced to include these data to the output file as appropriate. If you hav [...]
 
 Some data structures
 ####################
diff --git a/doc/source/manual/mne.rst b/doc/source/manual/mne.rst
index b99d62a..ae453b6 100644
--- a/doc/source/manual/mne.rst
+++ b/doc/source/manual/mne.rst
@@ -165,7 +165,7 @@ be adjusted with the regularization options ``--magreg`` , ``--gradreg`` ,
 and ``--eegreg`` specified at the time of the inverse operator
 decomposition, see :ref:`CBBDDBGF`. The convenience script mne_do_inverse_solution has
 the ``--magreg`` and ``--gradreg`` combined to
-a sigle option, ``--megreg`` , see :ref:`CIHCFJEI`.
+a single option, ``--megreg`` , see :ref:`CIHCFJEI`.
 Suggested range of values for :math:`\varepsilon_k` is :math:`0.05 \dotso 0.2`.
 
 .. _CHDBEHBC:

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