robert wrote: > 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 ?
numpy and scipy questions are best asked on their lists, not here. There are a number of people who know the capabilities of numpy and scipy through and through, but most of them don't hang out on comp.lang.python. http://www.scipy.org/Mailing_Lists scipy.optimize.leastsq() can be told to return the covariance matrix of the estimated parameters (m and o in your example; I have no idea what you think r-coeff is). -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco -- http://mail.python.org/mailman/listinfo/python-list
