no-spam at no-spam-no-spam.invalid
Sat Nov 11 12:02:38 CET 2006
Is there a ready made function in numpy/scipy to compute the correlation y=mx+o of an X and Y fast:
m, m-err, o, o-err, r-coef,r-coef-err ?
Or a formula to to compute the 3 error ranges?
numpy.corrcoef computes only the bare coeff:
array([[ 1. , 0.95618289],
[ 0.95618289, 1. ]])
with ints it goes computes wrong:
array([[ 1. , 0.94491118],
[ 0.94491118, 1. ]])
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