Store mxn matrix within a for loop

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Jake
Jake 2022년 7월 19일
편집: Rik 2022년 7월 19일
How can I store results of a for loop when one iteration gives m x n matrix and not a 1 x n matrix?
a = rand(20,12);
for k=length(a)
store_this = reshape((a(k,:)), 3, [])';
end
**EDIT
The sample code I wanted to share is as follows, and the one above is wrong as pointed out :)
a = rand(20,12);
for k=1:size(a,1)
store_this = reshape((a(k,:)), 3, [])';
end
  댓글 수: 2
Rik
Rik 2022년 7월 19일
Your loop is confusing.
Did you intend to have a single iteration?
Did you intend to use max(size(a))? Judging from your indexing, you may have wanted size(a,1) instead.
If you would have multiple iterations, that would mean your array gets overwritten every time. Is that intentional?
Jake
Jake 2022년 7월 19일
You're right! The sample code I've shared was wrong. I've corrected it in the question too.
As you see, each iteration creates 4 x 3 matrix under store_this. What I'm trying is to store those 4 x 3 matrices in each iteration one after the other. So for instance, store_this would look like a 8 x 3 matrix after its second iteration. I'm not sure if that's feasible, or detailed enough (?).

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Rik
Rik 2022년 7월 19일
편집: Rik 2022년 7월 19일
I'm not sure this is the optimal way to do it, but this does what you explain by using a cell array as an intermediary step.
a = rand(20,12);
store_this=cell(1,size(a,1));
for k=1:size(a,1)
store_this{k} = reshape((a(k,:)), 3, [])';
end
store_this=vertcat(store_this{:})
store_this = 80×3
0.2288 0.3095 0.1840 0.9412 0.6852 0.0284 0.5210 0.5932 0.5208 0.1174 0.2460 0.1937 0.3876 0.2077 0.4256 0.7620 0.6441 0.3932 0.8775 0.5043 0.9992 0.8888 0.4054 0.3534 0.4653 0.9296 0.3296 0.1698 0.7805 0.6041
In this case your entire loop can be replaced by a single line:
x=reshape(a.',3,[]).';
isequal(x,store_this),store_this
ans = logical
1
store_this = 80×3
0.2288 0.3095 0.1840 0.9412 0.6852 0.0284 0.5210 0.5932 0.5208 0.1174 0.2460 0.1937 0.3876 0.2077 0.4256 0.7620 0.6441 0.3932 0.8775 0.5043 0.9992 0.8888 0.4054 0.3534 0.4653 0.9296 0.3296 0.1698 0.7805 0.6041

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