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?
-robert
PS:
numpy.corrcoef computes only the bare coeff:
>>> numpy.corrcoef((0,1,2,3.0),(2,5,6,7.0),)
array([[ 1. , 0.95618289],
[ 0.95618289, 1. ]])
with ints it goes computes wrong:
>>> numpy.corrcoef((0,1,2,3),(2,5,6,7),)
array([[ 1. , 0.94491118],
[ 0.94491118, 1. ]])
--
http://mail.python.org/mailman/listinfo/python-list
