postprocessingscript.md

@@ -120,6 +120,31 @@ For Example:
 ```data_sd_ch <135x1517> ``` is the matrix containing the results of the standard deviation test to find comically bad channels.  
 ```c_data_sd_ch <135x1517> ``` is the corresponding flag matrix flagging 1 where the standard deviation was above the ```sd_chan_z``` critical value.  
 ```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.
+```matlab
+% Pie Chart
+c1 = length(EEG.marks.chan_info(1).flags);                     % Collect Number of Epochs
+c2 = length(find(EEG.marks.chan_info(2).flags));          % Collect the Number of Epochs flagged for mark 2 (ch_sd)
+c3 = length(find(EEG.marks.chan_info(3).flags));          % Collect the Number of Epochs flagged for mark 3 (low_r)
+c4 = length(find(EEG.marks.chan_info(4).flags));          % Collect the Number of Epochs flagged for mark 4 (bridge)
+cm = length(find(EEG.marks.chan_info(1).flags));         % Collect the Number of Epochs flagged for mark 1 (manual)
+c1 = c1-cm;                                                                                       % Update c1 to be the  Number of Epochs not flagged for mark 1 (manual)
+cpie = [c1 c2 c3 c4];                                                                       % Create cpie containing all of the other  c values
+figure;                                                                                                 % Generate a figure window - nothing plotted yet
+explode = [1 0 0 0];                                                                        % Set up input - Make c1 segmented out of the pie
+ax1 = subplot(1,2,1);                                                                     %Set up input -  Make the pie chart the first plot of a of a 1x2 subplot grid
+labels = {'Remaining Channels','Comically Bad','Low Correlation','Bridged'};        %Set up input -  Create cell array of labels corresponding to c values
+pie(ax1,cpie,explode,labels);                                                                                                       % Plot pie graph using parameters just created.
+colormap(jet);                                                                                                                                     % Set the color scheme to *jet*
+title('Data Channel Classification');                                                                                           % Set the title of the chart
+
+```
+
+**Calculation->Flag->Mark/Criteria Plot Example**
+
 
 
 We are currently working on this section of the Wiki.