updated

claire-braboszcz · claire-braboszcz · commit 5e437ed8db55 · 2020-12-11T14:44:05.000Z
diff --git a/tutorials/II/II.4_study_data_visualization_tools.md b/tutorials/II/II.4_study_data_visualization_tools.md
@@ -1,17 +1,17 @@
 ---
 layout: default
-title: II.4 STUDY Data Visualization Tools
+title: II.4 STUDY Channel Data Visualization Tools
 permalink: /tutorials/multi-subject/STUDY-data-visualization-tools.html
 parent: II.Multiple subject processing tutorial
 grand_parent: Tutorials 
 ---
 
-{ {Backward_Forward\|Chapter 03: Working with STUDY designs\|Chapter 03:
-Working with STUDY designs\|Chapter 05: Component Clustering
-Tools\|Chapter 05: Component Clustering Tools\|} }
+STUDY data visualization tools
+================================
 
-<u>Description of experiment for this part of the tutorial:</u> These
-data were acquired by Arnaud Delorme and colleagues from fourteen
+#### Description of experiment for this part of the tutorial
+
+These data were acquired by Arnaud Delorme and colleagues from fourteen
 subjects. Subjects were presented with pictures that either contained or
 did not contain animal image. Subjects respond with a button press
 whenever the picture presented contained an animal. These data are
@@ -25,12 +25,11 @@ cluster tutorial data used in previous sections are too sparse to allow
 computing statistical significance. However, for initial training, you
 might better use that much smaller example STUDY.
 
-__TOC__
-
-### Precomputing channel measures
 
-Before plotting the component distance measures, you must precompute
-them using the <font color=brown>Study \> Precompute measures</font>
+Precomputing channel measures
+------------------------------
+Before plotting the channel measures, you must precompute
+them using the <span style="color: brown">Study → Precompute measures</span>
 menu item as shown below.
 
 
@@ -39,23 +38,27 @@ menu item as shown below.
 
 
 It is highly recommended that for visualizing and computing statistics
-on data channels you first interpolate missing channels. Automated
+on data channels you first interpolate missing channels.
+ 
+ Automated
 interpolation in EEGLAB is based on channel names. If datasets have
 different channel locations (for instance if the locations of the
 channels were scanned), you must interpolate missing channels for each
-dataset from the command line using { {File\|eeg_interp.m} }. Select all
+dataset from the command line using { {File\|eeg_interp.m} }. 
+
+Select all
 the measures above, or just one if you want to experiment. The channel
 ERPs have been included in the tutorial dataset; if you select ERPs,
 they will not be recomputed -- unless you also check the box ''
 Recompute even if present on disk''.
 
-Each measure to precompute is explained in detail in the component
-clustering part (where the same exact measures may be computed).
-
-### Plotting channel measures
+Each measure to precompute is explained in detail in the [component
+clustering part]( /tutorials/multi-subject/component-clustering-tools.html) (where the same exact measures may be computed).
 
+Plotting channel measures
+----------------------------
 After precomputing the channel measures, you may now plot them, using
-menu item <font color=brown>Study \> Plot channel measures</font>.
+menu item <span style="color: brown">Study → Plot channel measures</span>.
 
 
 ![600px](/assets/images/Pop_chanplot.gif)\]
@@ -65,13 +68,15 @@ menu item <font color=brown>Study \> Plot channel measures</font>.
 Here we only illustrate the behavior of { {File\|pop_chanplot.m} } for
 plotting ERPs. Spectral and time/frequency (ERSP/ITC) measure data for
 scalp channels may be plotted in a similar manner, as shown in the
-previous section on component clustering. To plot data for a single
+previous section on component clustering. 
+
+To plot data for a single
 scalp channel ERP, press the *Plot ERPs* pushbutton on the left column.
 A plot like the one below should appear:
 
 
 
-![\![image not found](/assets/images/Erp1.gif)\]
+![ERP](/assets/images/Erp1.gif)
 
 
 
@@ -80,7 +85,7 @@ the left columns, obtaining a figure similar to the one below.
 
 
 
-![\![image not found](/assets/images/Erp2.gif)\]
+![ERP](/assets/images/Erp2.gif)
 
 
 
@@ -90,7 +95,7 @@ channels. Then again press the *Plot ERPs* button in the right column.
 
 
 
-![\![image not found](/assets/images/Erp3.gif)\]
+![ERP](/assets/images/Erp3.gif)
 
 
 
@@ -99,5 +104,4 @@ channel ERP pop up. Many other plotting options are available in the
 central column of the { {File\|pop_chanplot.m} } gui. These will be
 described in the next section.
 More complex plotting options are demonstrated in the section dealing
-with [visualization and
-statistics](/Chapter_06:_Study_Statistics_and_Visualization_Options "wikilink").
+with [visualization and statistics](/tutorials/multi-subject/study-statistics-and-visualization-options.html).
