[SciPy-User] How to fit data with errorbars

[Nathaniel Smith]

On Tue, Feb 16, 2010 at 7:48 PM,  <josef.pktd at gmail.com> wrote:
> I didn't realize that it is a problem linear in parameters if the
> objective is to fit a polynomial.

I dunno, I'm just going off a quick glance at the documentation for
"polyfit", which the OP wanted to use in the first place :-).

> Essentially the same calculations are done in statsmodels.WLS  plus
> you get additional results and test statistics.
>
> something like
>
> wls_results = scikits.statsmodels.WLS(Y, np.vander(X,2), weights=1/stddevs)
> wls_results.params
> wls_results.bse
> wls_results.fittedvalues
>
> example in statsmodels\examples\tut_ols_wls.py

Yeah, using real statistics code is always a better idea when
available. (Actually, I would use R for this. Don't tell anyone!)

-- Nathaniel