postprocessingscript.md

@@ -123,7 +123,7 @@ For Example:
 This pattern matches for most of the marks.  
 
 **Pie Chart Example**
-Below is the code for the pie chart separating the channel types.
+Below is the code for the pie chart separating the channel types. This code exclusively uses the marks structure for its data.
 ```matlab
 % Pie Chart
 c1 = length(EEG.marks.chan_info(1).flags);               % Collect Number of Epochs
@@ -138,12 +138,51 @@ explode = [1 0 0 0];
 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*
+colormap(jet);                                          % Set the color scheme to be  jet
 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.
+```matlab
+% Collect Data
+z = EEG.data_sd_ch;                       % Finding the calculated values of the standard deviations
+z(z>100) = 100;                                  % Cap on the max deviation value, nice to show a better color gradient on the image. Just for looks.
+
+figure;                                                   % Generate a figure window - nothing plotted yet
+
+% Surface Plot 1
+ax1 = subplot(1,3,1);                                       % Select the subplot location for the upcoming plot to be space 1 in the 1x3.
+surf(ax1,z,'LineStyle','none','FaceAlpha',0.9);     % Plot the surface wave without grid lines and a 90% opacity.
+view(0,90);                                                        % Rotate the surface plot so that it is 2D birds eye view
+title('Standard Deviations');                   %Add a title
+xlabel('Epoch Number');                        %Add a y- axis label
+ylabel('Channel Number');                        %Add a x- axis label
+axis([0 size(z,2) 0 size(z,1)]);              %Trim the image axis so that it is plotted as a tight fit. (xmin xmax ymin ymax)
+colormap(jet);                                                %Set the color scheme to be jet
+
+% Surface Plot 2 - Compact version similar to Surface plot 1
+ax2 = subplot(1,3,2);                                                        % Subplot location is 2 in the 1x3
+surf(ax2,EEG.c_data_sd_ch,'LineStyle','none','FaceAlpha',0.9);view(0,90);      % Data plotted this time is the flags EEG.c_data_sd_ch
+title('Flags'); colormap(jet); axis([0 size(z1,2) 0 size(z1,1)]);
+xlabel('Epoch Number'); ylabel('Channel Number');
+
+% Critical Value Data
+x = mean(EEG.c_data_sd_ch,2);           % Row vector, Average of flags along each channel
+y = 1:size(EEG.c_data_sd_ch,1);           % Row vector, Channels numbers
+x(:,2) = 0.1;                                                      % Second row vector in variable x, vertical line with equation x = 0.1
+ax3 = subplot(1,3,3);                                % Subplot location
+plot(ax3,x,y);                                                 % Plot of the x and y vectors to make a graph
+title('Mean of Marks Critical Value');   % Standard plotting labels
+xlabel('%  Of Channel Flagged');
+ylabel('Channel Number');
+axis([-0.05 1 0 (length(x + 1))]);            % Axis trimming (xmin xmax ymin ymax)
+````
+
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