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From: | Quentin Spencer |
Subject: | Re: How do you find curvature of "splattered" data? |
Date: | Mon, 13 Mar 2006 15:05:19 -0600 |
User-agent: | Mozilla Thunderbird 1.0.7-1.1.fc4 (X11/20050929) |
Robert A. Macy wrote:
I have data that is "splattered", which means that both the ordinate and the abscissa have noise. Actually, the data is the real and imag part of a function of an exact variable. In Oct 2004, Rafael Laboissiere gave me some formulas using svd(cov()) that worked very well to find the mean and theslope of splattered data.Is there some simple octave function I can use to find curvature? In other words, find the mean, slope, *and* curvature.
What do you mean by curvature? Are you trying to model the data as fitting a circular arc and want to know the radius? You could also model the data as quadratic (or any higher degree polynomial for that matter). I imagine that this would be a relatively straightforward extension of the linear model you are now using.
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