correlation shows NaN values?
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Hi all,
I would like to calculate the correlation between two vectors (1*744) for each. but the correlation output gives a matrix (744*744) contains NaNs with no number in the matrix.
Any help will be appreciated.
thanks
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Birdman
2017 年 12 月 20 日
Try corrcoef
corrcoef(A,B)
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Jos (10584)
2017 年 12 月 21 日
My pleasure. You can use random sampling, for instance. Replace the NaNs by values sampled from the rest of the data vector. The advantage is that it, in the long run, preserves both the mean and the variance of the original data (whereas mean imputing only preserves the mean). You also might consider bootstrapping this procedure to get a better estimate of the correlation with another vector. If X is your original vector:
Xcopy = X ;
tf = isnan(X) ;
Xcopy(tf) = randsample(X(~tf), sum(tf), true)
You also should analyse whether your missing data is (completely) random or not, as this would influence the inferences you can make.
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