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

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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?

Accepted Answer

James Tursa
James Tursa on 9 Jun 2023
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
  6 Comments
Jim McIntyre
Jim McIntyre on 9 Jun 2023
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 on 9 Jun 2023
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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