calculation of a mean matrix
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Hi I have two matrices
a = [1 2 3; 2 3 4]
and
b = [2 3 4; 3 4 5];
I want a mean output matrix "c," whose output should be
c= [1.5 2.5 3.5; 2.5 3.5 4.5].
so basically "c" should have a mean of respective parameters and same dimension as "a" and "b". Can someone help?
Thanks, Subrat
1 个评论
Yanbo
2012-8-15
you might just simply add a to b, and them divide the sum by 2. Or, are you looking for a specific command?
采纳的回答
Oleg Komarov
2012-8-15
Unfortunately your example doesn't allow to propose a unique solution, i.e.:
c1 = [mean(a); mean(b)]
c2 = squeeze(mean(cat(3,a,b),3));
c1 simply takes the vertical mean (along rows) of a and then concatenates the vertical mean of b
c2 takes the mean of row 1 from a AND b and then concatenates the mean of the second row fro the two matrices.
Which one do you want?
更多回答(3 个)
Image Analyst
2012-8-15
a = [1 2 3; 2 3 4];
b = [2 3 4; 3 4 5];
c = (a+b)/2
In the command window:
c =
1.5 2.5 3.5
2.5 3.5 4.5
3 个评论
Alfredo Scigliani
2023-4-25
what if you have a ridculous amount of matrices (1000) and you want to find the average? I think a for loop, but not sure how.
Steven Lord
2023-4-25
what if you have a ridculous amount of matrices (1000)
Then I'd recommend you revise the code to avoid that scenario. More likely than not you dynamically created variables with numbered names like x1, x2, x3, etc.
Can you do that? Yes.
Should you do this? The general consensus is no. That Answers post explains why this is generally discouraged and offers several alternative approaches.
Benjamin Klugah-Brown
2020-8-9
what if matrix a and b have different size
5 个评论
Walter Roberson
2020-8-10
If by NA you mean NaN, then you would have to use
mean(cat(3, A1, B1), 3, 'omitnan')
or you would have to use something like
maskA = isnan(A1);
maskB = isnan(B1);
C1 = (A1 + B1) / 2;
C1(maskA) = B1(maskA);
C1(maskB) = A1(maskB);
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