Dynamic : Usage as follows
corrcheck(A) : input is NumPy 2darray
shows some statistics for the statistical dependence matrix A
corrcheck(A,label) : input is NumPy 2darray and [‘string’]
shows some statistics for the matrix A and uses
label, a list containing one string, as title in figures.
corrcheck(A,B,C,...) : input are many NumPy 2darrays
shows some statistics for the statistical dependence matrices A, B, C,....
corrcheck(A,B,C,...,label) : input are many NumPy 2darrays and a list of strings
shows some statistics for the statistical dependence matrices A, B, C,....
and uses the list of strings label to generate titles in figures.
Note that len(label) has to be equal to the number of
input matrices.
corrcheck(T) : input is NumPy 3darray
shows some statistics for statistical dependence matrices stored
in the tensor T. The storage scheme has to be
T[:,:,0] = A
T[:,:,1] = B
T[:,:,2] = C
etc.
where A, B, C,... are matrices.
corrcheck(T,label) : input is NumPy 3darray and list of strings
shows some statistics for matrices stored
in the tensor T. The storage scheme has to be
T[:,:,0] = A
T[:,:,1] = B
T[:,:,2] = C
etc.
where A, B, C,... are matrices. The list of strings label
is used to generate titles in figures. Note that len(label)
has to be equal to T.shape[2]
corrcheck(...,title=’mytitle’) : input is any of the above
same as above and and uses the string mytitle as window name for figures.
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