How can I calculate mean and standard deviation of each column in cell arrays with for loop?

veri = readtable ('gh.csv');

vericell = table2cell(veri);

ghcolumn = cell2mat(vericell(:,3));

veri.Class = discretize(veri{:, 3}, min(veri{:, 3}):20:max(veri{:, 3})+20);

vericell = table2cell(veri);

class = cell2mat(vericell(:,end));

for ii=1:51

      deneme{ii,:}=vericell(class==ii,:);
      for j = 1:15
          deneme{ii}{:,j};
      end
  end

I have to calculate the mean and standard deviation of each column of each array with loop. How can I do that?

Answer 1

[Bob Thompson]

You've really already got your indexing loops set up, you just need the equations.

for ii=1:51 % Loops through each row in deneme array
    deneme{ii,:}=vericell(class==ii,:);
    for j = 1:15 % Loops through each column of deneme cell contents
        meanres = mean(deneme{ii}{:,j});
        sdres = deneme{ii}{:,j}-meanres; % I'll admit it's been a while since I've actually calculated standard deviation, so this equation could be wrong, but the proper equation would go here
    end
end

If you want to store all of the results, just add extra indexing to meanres and sdres.

[Sukru Yavuz]

I replaced the code with mine but still getting "Error using mean, Too many input arguments".

[Bob Thompson]

If you put deneme{ii}{:,j} in the command line what do you get?

[Sukru Yavuz]

51

51

51

That's what I get

[Bob Thompson]

If all of deneme{ii} is a series of numbers in individual cells, then you can use cell2mat(deneme{ii}) to convert the interior cells into a regular array, then run mean(deneme{ii}).

Similarly, if deneme{ii}{:,j} are cells that contain just numbers you can still use the cell2mat command.

Basically, the reason you're getting "Too many input arguments" is because it's seeing all of the different cells, rather than the numbers themselves, and mean cannot average a bunch of cell inputs.