correlation for multi-dimensional arrays
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Hi everyone,
I need to compute correlation coefficients - lots of them. I have two three-dimensional arrays (frequency x time x observations) and I want to compute correlations between the two arrays along the third dimension. The result I need is a two-dimensional array of correlation coefficients (frequency x time). If I understand the corr function correctly, corr is only for column vectors. If I loop over my other two dimensions, I can of course compute the correlation for each time-frequency point separately, but this is very slow.
Is there a way to compute correlation coefficients for multi-dimensional arrays along an arbitrary dimension, or any other way to speed up the computation of correlations?
Thanks!
1 个评论
Raj
2014-8-27
Can you please provide formulas (math models) for the multi-dimensional correlation?
采纳的回答
David Young
2011-9-15
If you don't have NaNs in the data, and you want the standard Pearson coefficient, then you could try applying the formula for correlation directly, like this:
% Synthetic data for testing
a = rand(10, 10, 100);
b = rand(10, 10, 100);
b(1, 1, :) = 3 * a(1, 1, :) - 2; % r(1,1) should be + 1;
b(1, 2, :) = -17 * a(1, 2, :) + 8; % r(1,2) should be - 1;
% rest of r should be random between +1 and -1
% Compute correlations on third dimension
% Remove means
az = bsxfun(@minus, a, mean(a,3));
bz = bsxfun(@minus, b, mean(b,3));
% Standard Pearson correlation coefficient formula
a2 = az .^ 2;
b2 = bz .^ 2;
ab = az .* bz;
r = sum(ab, 3) ./ sqrt(sum(a2, 3) .* sum(b2, 3));
2 个评论
Niko
2011-9-15
André Gadêlha
2017-10-10
Dear David Young,
.
Why did you use this formulas to calculate the correlation:
.
b(1, 1, :) = 3 * a(1, 1, :) - 2; % r(1,1) should be + 1;
b(1, 2, :) = -17 * a(1, 2, :) + 8; % r(1,2) should be - 1;
.
and why did you removed means?
.
Best Regards!
更多回答（1 个）
Mustapha Adamu
2018-12-10
1 个投票
Dear David,
How do you go about this if you have nans,
Kind regards;
mustapha
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