cfit extract normalization mean and std

35 Ansichten (letzte 30 Tage)
Tony Tse
Tony Tse am 31 Jan. 2018
Beantwortet: Tobias Held am 5 Jan. 2022
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

Akzeptierte Antwort

Maeri
Maeri am 6 Mai 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.

Weitere Antworten (1)

Tobias Held
Tobias Held am 5 Jan. 2022
I would like to share my code for the answer from @Maeri, thank you I was looking for this!
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.

Kategorien

Mehr zu Curve Fitting Toolbox finden Sie in Help Center und File Exchange

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by