Re: Polyfit with scaling - Q regarding polyconf

[Ben Abbott]

On Wednesday, February 13, 2008, at 08:31AM, "Thomas Weber" <address@hidden> 
wrote:
>Am Mittwoch, den 13.02.2008, 07:32 -0500 schrieb Ben Abbott:
>> Thomas, can you run the script below in Matlab and post the result?
>
>okay, v.m is the script you sent:
>
>=====================================================================
>>> version
>ans = 7.1.0.183 (R14) Service Pack 3
>>> v
>Warning: Polynomial is badly conditioned. Remove repeated data points
>         or try centering and scaling as described in HELP POLYFIT.
>> In polyfit at 79
>  In v at 6
>0.37235     0.19472      0.7227      0.2758      1.0236
>0.35854     0.17994     0.66785     0.26557     0.98568
>0.32231     0.13727      0.5095     0.23873     0.88608
>0.32448     0.14005     0.51979     0.24034     0.89203
>0.31328     0.12528       0.465     0.23205     0.86126
>0.32036     0.13475     0.50012     0.23729     0.88072
>0.31328     0.12528       0.465     0.23205     0.86126
>0.32448     0.14005     0.51979     0.24034     0.89203
>0.32231     0.13727      0.5095     0.23873     0.88608
>0.35854     0.17994     0.66785     0.26557     0.98568
>0.37235     0.19472      0.7227      0.2758      1.0236
>
>=====================================================================
>
>> The polyconf() I've written is attached.
>
>I'm confused. Should I run this with your polyconf as well?
>

Thanks Thomas!

No need run my script (feel free though).

I thought I had run the same in my earlier email, but after double checking, 
I'm no sure where those results came from. What I get is below.

0.37235    0.26288    0.19472    0.37235     0.2758
0.35854    0.24293    0.17994    0.35854    0.26557
0.32231    0.18533    0.13727    0.32231    0.23873
0.32448    0.18907    0.14005    0.32448    0.24034
0.31328    0.16914    0.12528    0.31328    0.23205
0.32036    0.18192    0.13475    0.32036    0.23729
0.31328    0.16914    0.12528    0.31328    0.23205
0.32448    0.18907    0.14005    0.32448    0.24034
0.32231    0.18533    0.13727    0.32231    0.23873
0.35854    0.24293    0.17994    0.35854    0.26557
0.37235    0.26288    0.19472    0.37235     0.2758

The only thing that appears to agree with Matlab is the result from polyval() 
... which doesn't surprise me since I'm not clear on what polyconf() is 
supposed to be doing ... I had thought one of its four modes of operation would 
be equivalent to polyval().

If you (anyone?) has insight into how the algorithm for polyconf() should be 
written, feel free to pick apart the one I posted.

Meanwhile, it does appear that we now have a polyfit() and polyval() which 
respect the scaling, and whether or not a solution for fixing the polyconf(), 
I'll rewrite polyval() to work independently of it.

Ben