Hi Sai Prasanna,
Thanks for the follow-up feedback.
I would like to provide further information based on example_FUN_WU.m about the following:
(1) Get individual graph metrics/graph measures.
(2) Get individual correlation matrices/adjacency matrices.
Please follow the steps below:
Step 1: Copy and paste the following codes at the end of example_FUN_WU.m
%% Get individual correlation matrices
adjacency_matrices1 = cellfun(@(x) x.get('A'), a_WU1.memorize('G_DICT').getItems, 'UniformOutput', false); % all individuals from group 1
adjacency_matrices2 = cellfun(@(x) x.get('A'), a_WU2.memorize('G_DICT').getItems, 'UniformOutput', false); % all individuals from group 2
%% Get individual graph measure
ms1 = cellfun(@(x) x.getMeasure('Strength').memorize('M'), a_WU1.memorize('G_DICT').getItems, 'UniformOutput', false); % all individuals from group 1
ms2 = cellfun(@(x) x.getMeasure('Strength').memorize('M'), a_WU2.memorize('G_DICT').getItems, 'UniformOutput', false); % all individuals from group 2
Step 2: Run the revised example_FUN_WU.m by clicking on the run button
Step 3: Check the variable adjacency_matrices1 for all individual correlation matrices (weighted-undirected in this example) from group 1, and adjacency_matrices2 for group 2
Step 4: Check the variable ms1 for all individual calculated metrics (strength in this example) from group 1, and ms2 for group 2
Thank you, and let me know if you have any questions.
Best regards,
Yu-Wei
