How to obtain mean of columns in multiple cells?

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MP
MP 2022년 10월 9일
댓글: MP 2022년 10월 11일
I have a cell (say "a") and it has 5X1 dimension , Class: Cell. (Shown in picture below)
Each cell contains different cells, having size 3439x72 Single.
Now, I want to obtain the mean values of
a{1,1}(1,:) , a{2,1}(1,:) , a{3,1}(1,:) , a{4,1}(1,:) , a{5,1}(1,:),...
a{1,1}(2,:) , a{2,1}(2,:) , a{3,1}(2,:) , a{4,1}(2,:) , a{5,1}(2,:),...
a{1,1}(3,:) , a{2,1}(3,:) , a{3,1}(3,:) , a{4,1}(3,:) , a{5,1}(3,:),...
...
...
...
a{1,1}(3439,:) , a{2,1}(3439,:) , a{3,1}(3439,:) , a{4,1}(3439,:) , a{5,1}(3439,:)
The final output will be one cell with size 1x1 containing mean values of matrix "a" and having dimension 3439x72 Single.
Can anyone please help. Any help will be greatly appriciated.
The picture below shows the example of matrix "a".

채택된 답변

Chunru
Chunru 2022년 10월 9일
편집: Chunru 2022년 10월 10일
% Generate data
for i=1:5
a{i} = randn(3439, 72);
end
% find means
s = zeros(size(a{1}));
for i=1:5
s = s + a{i};
end
s = s/5;
m{1} = s % if cell output is needed
m = 1×1 cell array
{3439×72 double}
% Another way
% convert the cell array to n-d arraym
b = cell2mat(a);
b = reshape(b, 3439, 72, []);
bmean = mean(b, 3, 'omitnan')
bmean = 3439×72
-0.1072 0.7186 -1.2518 0.6538 0.0450 0.2487 -0.0131 -0.5979 0.0913 0.2459 0.2499 -0.4384 0.2268 1.2775 0.4260 0.3953 1.1213 0.4292 -0.5834 -0.0036 -0.5446 -0.2942 -0.3175 -0.0058 0.3379 0.0833 -0.1570 -0.4981 0.6502 -0.3571 0.3296 -0.3576 -0.0878 0.7029 -0.3468 -0.3598 0.3431 0.2771 -0.3125 0.4491 0.2682 0.3570 0.3437 1.4581 -0.1591 0.2845 -0.0704 0.4437 0.1149 -0.5652 0.3740 0.5756 0.3369 0.2193 -0.0896 0.7258 0.1833 -0.2490 0.6524 0.3205 0.7501 -0.7461 0.0481 -0.6806 -0.0029 -0.4085 0.1619 0.3956 0.1897 -0.9844 0.3036 0.5573 0.1616 -0.5567 -0.2975 0.3156 -0.4230 -0.3315 0.2060 0.4804 -0.2614 0.3183 -0.3542 1.0261 0.2275 0.3702 0.2705 -0.1034 0.9476 0.4038 0.5143 -0.6436 0.4221 0.0232 0.6096 0.6368 -0.0515 0.6973 -0.6362 -0.5205 0.0560 -0.0415 -0.7558 0.6641 0.6799 -0.3440 0.0877 0.3927 -0.0997 -0.9058 0.4118 -0.0052 -0.1239 0.7165 -0.0513 -0.4080 0.0001 -0.0915 -0.3898 0.3817 -0.2457 -0.3139 -0.0633 -0.2184 0.3175 0.6855 0.1546 0.1740 0.3062 0.2652 0.0356 0.4685 -0.6416 0.0628 -0.0215 0.1770 -0.1564 -0.1714 0.5383 -0.0258 1.0216 -0.2419 0.0912 -0.6164 0.7431 -0.5076 0.2734 0.4250 0.2200 0.7192 0.4551 -0.2876 0.3299 -0.6889 -0.2404 -0.8372 0.0219 -0.0181 0.1463 -0.5245 0.2721 0.1144 0.1633 -0.3012 0.2346 0.4896 0.0539 -0.4367 -0.4442 -0.1432 0.3200 -0.3041 0.4268 -0.1290 -0.3429 0.5477 -0.0069 -0.1900 -0.3022 0.6622 -0.0253 0.3395 0.0301 -0.2680 -0.0379 0.1428 0.3302 0.0596 0.5808 -0.0830 -0.2721 0.6924 0.0888 0.8348 0.1913 0.0173 -0.1094 0.3777 0.2724 -0.4384 -0.0410 0.3503 0.5023 0.2206 -0.5890 0.0367 -0.3338 0.9258 -0.4508 -0.2004 0.0719 1.0938 0.8232 -0.2318 0.1890 0.1043 -0.4000 0.2134 -0.2826 -0.1097 0.6548 0.4961 0.3926 -0.5436 -0.1727 -0.5459 0.1039 0.0243 0.1120 -0.1421 -0.3257 0.8620 -0.3420 0.0868 -0.4102 -0.3604 -0.1350 0.4695 0.0834 0.3250 -0.3574 -0.1595 0.1768 -0.0326 -0.2493 0.1360 0.2644 0.3307 -0.0123 0.0974 0.2792 -0.6300 0.5049 -0.0481 -0.0354 -0.8216 -0.1767 -0.3365 0.1326 0.4728 -0.3519 -0.2839 0.4667 0.1003 0.1995 -0.4195 -0.4603 1.2199 -0.0732 -0.5929 -0.5021 -0.7128 -0.6214 0.3192 0.1684 -0.2102 0.4546 0.3216 0.6002 0.0061 0.2754 0.0905 -0.4532 -0.4504 0.4331 0.2006 -0.0750 -0.7206 -0.8921 0.5873 -0.0347 -0.1797 -1.4079 -0.2568 0.0494 -0.0938 0.9003 0.1116 -0.6840 -0.5167
whos
Name Size Bytes Class Attributes a 1x5 9904840 cell b 3439x72x5 9904320 double bmean 3439x72 1980864 double cmdout 1x33 66 char i 1x1 8 double m 1x1 1980968 cell s 3439x72 1980864 double
  댓글 수: 6
MP
MP 2022년 10월 11일
Yes, transpose did work!!
Thank you so very much.

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