COR calculates the correlation matrix X and Y can contain missing values encoded with NaN. NaN's are skipped, NaN do not result in a NaN output. (Its assumed that the occurence of NaN's is uncorrelated) The output gives NaN only if there are insufficient input data COR(X); calculates the (auto-)correlation matrix of X COR(X,Y); calculates the crosscorrelation between X and Y c = COR(...); c is the correlation matrix W weights to compute weighted mean (default: []) if W=[], all weights are 1. number of elements in W must match size(x,DIM)

- sumskipnan SUMSKIPNAN adds all non-NaN values.

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