Calculating correlation matrix from time series in an array

I have a cell array with 164 entities, each with an entry of 193X1 time points. I need to create a correlation matrix of the dimension 164X164 with pearson correlations. How can I go about doing that?

Answer 1

[Ameer Hamza]

Use corrcoef() but first convert the matrix to correct form

C = % 164 elements cell array
Cv = [C{:}]; % creating a matrix
coff_matrix = corrcoef(Cv); % 164x164 matrix

[Native]

Thanks, and if I have multiple arrays like that, and want to load them separately and run this code snippet for each of them and store separately, how do I do that?

[Ameer Hamza]

That depends how are they stored. Are they stored in .mat file? How to you want to store the output?

[Native]

Yes they are stored as .mat files, I want to store the outputs separately as they were initially stored , just introduce the workspace variable of the correlation matrix.

[Ameer Hamza]

Without more information about the content of each mat file (i.e., names of variables) and how they are stored, it is difficult to give an exact solution.