[Numpy-discussion] Polyfit

[Chandler Latour]

I believe I'm bound to python.

In terms of forcing the regression through the origin, the purpose is  
partly for visualization but it also should fit the data.  It would  
not make sense to model the data with an initial value other than 0.


On Jun 16, 2008, at 4:33 PM, Simon Palmer wrote:

> At the risk of uttering a heresy, are you bound to Python for this?   
> I bet you could find a C library that will work well, plus it is not  
> a hard algorithm to code yourself.  I am pretty sure I have used a  
> numerical recipes algorithm for regression in my distant past.
>
> Also I can't help thinking the idea of forcing your regression fit  
> through the origin is a of a bit strange thing to do.  Do you want  
> it to pass through the origin for visualisation purposes?  What if  
> the origin is not a statistically valid place for the regression fit  
> to pass through?
>
> On Mon, Jun 16, 2008 at 9:25 PM, Charles R Harris <charlesr.harris at gmail.com 
> > wrote:
>
>
> On Mon, Jun 16, 2008 at 1:47 PM, Chandler Latour  
> <deathicrow at gmail.com> wrote:
> Yes, exactly what I meant.
>
> Polyfit just fits polynomials, there is no way of fixing the  
> constant to zero. Your best bet is to use linalg.lstsq directly to  
> fit the function you want.
>
> Chuck
>
>
>
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