How to arrange data
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Hello, I use this code which is linked to a Simulink  file to simulate and get data used for Artificial Neural Network. The data shown below are saved in structur format and each case contains 30001 data.
So I want to arrange  data to get only one matrix with 2 rows and  (30001*6) lines by modifying the matlab code or,
save directly the data acquired from MDL file under a matrix of 2 lines and 180006 lines.
Thank you.
 j=1;
for ref_P=10:1:12;  
    for ref_Q=-10:1:-9;   
options = simset('SrcWorkspace','current');
S = sim('gti_V3_15_NN',[],options);   
%%%%%%%%%%%%%%%%%%%%%%%%%%%
Delta       =data_out(:,1); % from workspace
Vom         =data_out(:,2);      
   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
out(j).Delta=Delta;
out(j).Vom=Vom;
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 Ref_P(j,1) = ref_P;
 Ref_Q(j,1) = ref_Q;
%%%%%%%%%%%%%%%%%%%%%%%%%%%
j= j+1;
   end
end

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  Jakeb Chouinard
      
 2021년 8월 12일
        
      편집: Jakeb Chouinard
      
 2021년 8월 12일
  
      You could likely extract and concatenate this data using a for loop or two, but a more elegent solution may be in using struct2cell(). Your fields will become a column vector of cells with their values being stored in a 3rd dimensional vector. From these, you could extract the data you're looking for using vertcat and brace indexing—See Below:
%% Setup:
bear = struct;
bear(1).paw = (1:100)';
bear(2).paw = (101:200)';
bear(3).paw = (201:300)';
bear(1).tail = (300:-1:201)';
bear(2).tail = (200:-1:101)';
bear(3).tail = (100:-1:1)';
%% Execution: 
tempCell = struct2cell(bear);
vertPaw = vertcat(tempCell{1,1,:}); % Paw is the 1st row, 1st column entry of the cell array
vertTail = vertcat(tempCell{2,1,:}); % Tail is the 2nd row, 1st column entry of the cell array
horzVert = [vertPaw, vertTail]
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