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Re: poly_fit for less number of points [message #84215 is a reply to message #84214]

Sun, 05 May 2013 12:59

Craig Markwardt
Messages: 1869
Registered: November 1996

Senior Member

On Saturday, May 4, 2013 6:44:28 AM UTC-4, sid wrote:
> Hello everyone,
>
> I have only 6 x values and y values, for example
>
> my x = [3932.9321,3933.0452,3933.1162,3933.2514,3933.3517,3933.4271 ]
>
> y = [0.090313701,0.084354165,0.080794218,0.075102273,0.074025219 ,0.082037902]
>
> I have to fit this with polynomial, I tried svdfit and poly_fit. But are not giving good fit. Please suggest me a way to fit these data points.

This fit,
res = poly_fit(x-mean(x), y, 2)
gives a smooth fit.

Craig

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[Message index]

		Re: poly_fit for less number of points By: Craig Markwardt on Mon, 06 May 2013 13:26
		Re: poly_fit for less number of points By: Heinz Stege on Mon, 06 May 2013 11:02
		Re: poly_fit for less number of points By: Jeremy Bailin on Mon, 06 May 2013 06:48
		Re: poly_fit for less number of points By: David Fanning on Sun, 05 May 2013 15:03
		Re: poly_fit for less number of points By: Craig Markwardt on Sun, 05 May 2013 12:59
		Re: poly_fit for less number of points By: sid on Sat, 04 May 2013 07:02
		Re: poly_fit for less number of points By: Heinz Stege on Sat, 04 May 2013 05:00
		Re: poly_fit for less number of points By: Craig Markwardt on Sun, 05 May 2013 12:55
		Re: poly_fit for less number of points By: Yngvar Larsen on Tue, 07 May 2013 01:20

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