How can I calculate the "Median" of floating point numbers

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Jim McIntyre
Jim McIntyre 2023-6-9
评论： James Tursa 2023-6-9
I have three two-dimensional arrays containing floating point numbers. I would like to construct a two-dimensional array that contains the "median" or middle value (not the mean) of the three arrays.
For example, if one element of the arrays contained 4.81, 3.54, and 3.56, I'd like to return 3.56, which is the middle value.
How can I do that?

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James Tursa
James Tursa 2023-6-9
Ran in:
E.g.,
x = randi(10,2,3)
x = 2×3
8 4 8 2 8 4
y = randi(10,2,3)
y = 2×3
10 5 5 6 5 8
z = randi(10,2,3)
z = 2×3
9 8 3 4 9 4
xyz = cat(3,x,y,z)
xyz =
xyz(:,:,1) = 8 4 8 2 8 4 xyz(:,:,2) = 10 5 5 6 5 8 xyz(:,:,3) = 9 8 3 4 9 4
result = median(xyz,3)
result = 2×3
9 5 5 4 8 4
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Jim McIntyre
Jim McIntyre 2023-6-9
Thank you. That answer works.
My original problem was in trying to calculate the median of the arrays without concatenating them. My original code was in the form:
myMedian = median(x(:),y(:),z(:))
James Tursa
James Tursa 2023-6-9
The concatenation is going to take extra time and memory for the temporary data copies, which will slow performance. Could be avoided with a mex routine, but I wouldn't bother with that unless your variables are huge and the performance hit is significant.

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