Take average of multiple matrices

Question

Amir Hosein Shokouhy 2021-4-8

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/795912-take-average-of-multiple-matrices

评论： KSSV 2021-4-8

data.mat

Hello,

I have a variable that contains 5 matrices (6*5) inside it. I want to take the average of these matrices and store it in a 6*5 matrix. I would greatly appreciate it if you could help me with that. I will attach the variable to this post.

Thanks,

Amir

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Answer 1

William Rose 2021-4-8

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https://ww2.mathworks.cn/matlabcentral/answers/795912-take-average-of-multiple-matrices#answer_669972

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@Amir Hosein Shokouhy,

Here is a solution:

>> D=open('data.mat');
>> phi=D.phi_BFD_v_sum;
>> phiAvg=zeros(6,5);
>> for i=1:5, phiAvg=phiAvg+phi{i}/5; end
>> disp(phiAvg)
         0         0         0         0         0
    0.2284    0.6080    0.8000    0.7058    0.4388
    0.4377    0.8000    0.2495   -0.5222   -0.7138
    0.6112    0.4325   -0.7374   -0.2847    0.7672
    0.7355   -0.2412   -0.4568    0.7297   -0.5588
    0.8000   -0.7481    0.6222   -0.3616    0.2122
>>

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Amir Hosein Shokouhy 2021-4-8

Thanks William, it works!

KSSV 2021-4-8

You need not to use loop to achieve this. Did you see the other answers?

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Answer 2

KSSV 2021-4-8

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https://ww2.mathworks.cn/matlabcentral/answers/795912-take-average-of-multiple-matrices#answer_669982

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load data.mat ;
A = cat(3,phi_BFD_v_sum{:}) ;
iwant = mean(A,3) ;

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Answer 3

per isakson 2021-4-8

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https://ww2.mathworks.cn/matlabcentral/answers/795912-take-average-of-multiple-matrices#answer_669987

在 MATLAB Online 中打开

Try this

%%
load('data.mat')
num = cat( 3, phi_BFD_v_sum{:} );
avg = mean( num, 3 );

peek

>> avg
avg =
            0            0            0            0            0
      0.22843      0.60803          0.8      0.70577      0.43885
      0.43769          0.8       0.2495     -0.52216     -0.71376
      0.61117       0.4325     -0.73741     -0.28474      0.76717
       0.7355     -0.24119     -0.45683      0.72973     -0.55882
          0.8     -0.74809       0.6222     -0.36164      0.21224