Added CSV file support, scrolling to allow for more data, and implemented first row secs option.

fourierPlotFnc.m

@@ -14,17 +14,23 @@ function fourierPlotFnc(data, fileSettings, checkboxes, start, stop, yAxis, chan
             if fileSettings{2}.Value == 0
                 [timeArray, yData] = timeAxisWithIncrement(data, fileSettings{3}.Value, beginning, ending, channel); 
             else
-                %TO DO
+                timeArray = data(:,1);
+                yData = data(:, channel);
             end
 
             fs = 1 / fileSettings{3}.Value;
             
-            Nspec = 1024;
+            if length(yData) < 1024
+                Nspec = length(yData) - 1;
+            else
+                Nspec = 1024;
+            end
             wspec = hamming(Nspec);
             Noverlap = Nspec/2;
 
             hold on
             figure(channel)
+
             spectrogram(yData, wspec, Noverlap, Nspec, fs, 'yaxis');
             title(channels{channel});
 

graphPlotFnc.m

@@ -14,7 +14,8 @@ function graphPlotFnc(data, fileSettings, checkboxes, start, stop, yAxis, channe
             if fileSettings{2}.Value == 0
                 [timeArray, yData] = timeAxisWithIncrement(data, fileSettings{3}.Value, beginning, ending, channel); 
             else
-                %TO DO
+                timeArray = data(:,1);
+                yData = data(:, channel);
             end
 
         

loadChannels.m

@@ -1,11 +1,20 @@
-function [channels] = loadChannels(path, filenames)
+function [channels] = loadChannels(path, filenamesTDMS, filenamesCSV)
 
     channels = {};
 
-    for i = 1:length(filenames)
+    % read TDMS file headers
-        channel = tdmsinfo(append(path, '\', filenames(i).name)).ChannelList;
+    for i = 1:length(filenamesTDMS)
+        channel = tdmsinfo(append(path, '\', filenamesTDMS(i).name)).ChannelList;
         channel = channel{:, "ChannelName"};
         channels{i} = channel;
     end
     
+    % read CSV file headers
+    for i = length(filenamesTDMS) + 1:length(filenamesCSV) + length(filenamesTDMS)   
+        channel = readtable(strcat(path, '\', filenamesCSV(i - length(filenamesTDMS)).name), ...
+            'VariableNamingRule','preserve');
+        channel = channel.Properties.VariableNames;
+        channel = string(channel);
+        channels{i} = channel.';
+    end
 end

loadData.m

@@ -1,18 +1,31 @@
-function [dataListTable] = loadData(tdmsFileList)
+function [dataListTable] = loadData(tdmsFileList, csvFileList)
 
     %Convert struct to cell for easy access
     tdmsFileList = struct2cell(tdmsFileList);
-
     
+    if width(tdmsFileList) > 0
+        path = tdmsFileList{2, 1};
+    else
+        path = csvFileList(1).folder;
+    end
+
+    %load TDMS files
     for i = 1:width(tdmsFileList)
 
         %Read files and save them as a table in a list
-        data = tdmsread(strcat(tdmsFileList{2, i}, '\', tdmsFileList{1, i}));
+        data = tdmsread(strcat(path, '\', tdmsFileList{1, i}));
-
         %Take the table out of an 1x1 cell array and convert it in a cell array.
         dataListTable{i} = table2array(data{1,1});
         
     end
 
+    %load CSV files
+    for i = width(tdmsFileList) + 1: length(csvFileList) + width(tdmsFileList)
+
+        %Read CSV files
+        dataListTable{i} = readmatrix(strcat(path, '\', csvFileList(i - width(tdmsFileList)).name));
+
+    end
+
 end
 

meanPlotFnc.m

@@ -14,7 +14,8 @@ function meanPlotFnc(data, fileSettings, checkboxes, start, stop, yAxis, channel
             if fileSettings{2}.Value == 0
                 [timeArray, yData] = timeAxisWithIncrement(data, fileSettings{3}.Value, beginning, ending, channel); 
             else
-                %TO DO
+                timeArray = data(:,1);
+                yData = data(:, channel);
             end