Hi Randy,
readtable() might be a nice place to start. https://www.mathworks.com/help/matlab/ref/readtable.html
After the data is in Matlab you can use some of the helpful grouping functionality to do what you are trying to do: https://www.mathworks.com/help/matlab/matlab_prog/grouping-variables-for-splitting-data.html
Alternatively, you can use logical indexing. An example of this is below.
One example, to read the data and plot the mean 'Correlation_Correlation_Cx43_FActin' for each 'ImageNumber' would look something like this (liable to be buggy as I don't have Matlab here so this is untested):
file_name = 'IF66NewBorder.csv';
selected_column = 'Correlation_Correlation_Cx43_FActin';
T = readtable(file_name);
images = unique(T.ImageNumber);
means = NaN(size(images));
for ii = 1:numel(images)
image_num = images(ii);
selected_rows = T.ImageNumber==image_num;
means(ii) = mean(T.(selected_column));
end
figure
plot(images,means,'.-')
xlabel('ImageNumber')
ylabel(['Mean of ' selected_column])
