postprocessingscript.md

@@ -122,8 +122,8 @@ For Example:
 ```marks.chan_info(2).flags``` is the corresponding channels marks where the channel had more % flagged then the ```sd_chan_p``` critical value.  
 This pattern matches for most of the marks.  
 
-**Pie Chart Example**
-Below is the code for the pie chart separating the channel types. This code exclusively uses the marks structure for its data.
+**Pie Chart Example**  
+Below is the code for the pie chart separating the channel types. This code exclusively uses the marks structure for its data. The function ```pie``` can take a multitude of formatting  inputs including explode,axis, and labels. The data needs to be a row vector with a number for each category. The fraction of the chart is based off of the % of each of these compared to one another.
 ```matlab
 % Pie Chart
 c1 = length(EEG.marks.chan_info(1).flags);               % Collect Number of Epochs
@@ -142,8 +142,9 @@ colormap(jet);                                          % Set the color scheme t
 title('Data Channel Classification');                        % Set the title of the chart
 ```
 
-**Calculation->Flag->Mark/Criteria Plot Example**
-Below is the code for the s way subplot of calculating channel marks. This code exclusively uses the EEG. calculation matrices for its data.
+**Calculation->Flag->Mark/Criteria Plot Example**  
+Below is the code for the s way subplot of calculating channel marks. This code exclusively uses the EEG. calculation matrices for its data. The function ```surf``` can take a multitude of formatting  inputs including line style, axis, view, and face alpha. The data needs to be a matrix where the x and y values are gathered from the dimensions of the matrix, and the z values gathered on the data contained at each index. Plot in this example only uses the optional axis location input. Both x and y need to be row matrices  containing the co-ordinates of the data points to plot. To plot 2 lines on the same graph add a second row to the row vector, or run the plot command again with the new x row vector after using ```hold on;```.  
+
 ```matlab
 % Collect Data
 z = EEG.data_sd_ch;                       % Finding the calculated values of the standard deviations
@@ -179,9 +180,12 @@ ylabel('Channel Number');
 axis([-0.05 1 0 (length(x + 1))]);            % Axis trimming (xmin xmax ymin ymax)
 ````
 
-
-
-
+The time plot is very similar to this but has a few unique lines of code, adjusting the subplot locations and the x and y variables.
+To see the code for other sections type:
+```matlab
+edit diagnostics
+```  
+This will open up the function and you can see behind the scenes.