r = corrmap(A,y,dim) returns an (N-1)-dimensional array of correlation coefficients between y and A along dimension dim of A.
Note: This is version 1. It performs well for small data sets, but is somewhat slow for large data sets. The small examples in the demo file (size 3x4x1095) return a 3x4 map of correlation coefficients in 0.004133 seconds on my laptop. When testing with a larger 26x360x12000 data set, it takes my machine nearly a minute to return the 26x360 map. If you have suggestions for how to increase the speed of this function for large data sets, please let me know.