cfit extract normalization mean and std
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Hello,
I am fitting a rational function to some data, in my case x varies over many orders of magnitude, so I used to 'Normalize' option when fitting. There is a normalization mean and std to the x, how do I extract that? There isn't a public method to cfit for this as far as I know.
I have attached the fit function in question. The values I am interest in are:
where x is normalized by mean 6.21e+05 and std 1.65e+06
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Accepted Answer
Maeri
on 6 May 2019
In the cfit source code, the mean and std are private variables, and there exists no access function as for coeffvalues.
Thus I don't think there is a way to access mean and std. A work around is just taking mean and std of your xdata input.
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More Answers (1)
Tobias Held
on 5 Jan 2022
Add this to your Fit function.
[fitresult,norm, gof] = createFitNom(xData, yData)
[...]
% Save Normalize values
[x,mean,std] = normalize(xData);
norm.mean = mean;
norm.std = std;
[...]
end
I am not yet sure if a struct is a good data type for this, but the idea should be clear now.
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