Azzera filtri
Azzera filtri

Error with the matlab curve fitter app

9 visualizzazioni (ultimi 30 giorni)
Imanol Fernandez de arroyabe Zabala
Modificato: dpb il 21 Feb 2023
I have a dataset that can be seen below:
I have an equation that is supposed to somewhat predict these points, and I want to check if it holds up using the custom equation option. However, at the time of choosing such option, I can't use it unless it comes with parameters asociated with it (which then matlab will optimize in order to choose the best fit). I don't want to do this. I want to check how well an established function without parameters can predict the points. Thanks in advance.

Risposte (1)

dpb
dpb il 21 Feb 2023
Modificato: dpb il 21 Feb 2023
The CurveFitter App is simply not designed to be used in this manner.
To do this, you would create a fit object directly with the <cfit> function and set the model and coefficients in the object fields and then use <feval> to evaluate the model over the input points.
Of course, when you do this, then the fit object will not have any of the supporting data available to it for confidence limits, goodness of fit, etc., etc., ... that are automagically populated when the fit function is called and creates the output fit object. You would have to derive all those from the results of the residuals and data points and, of course, there's no guarantee that these will be at all representative of the estimated values would obtain by fitting the model so there's no real justification for anything other than computing the residuals and basic global measures of goodness of fit like R-square or the standard error.
Depending upon the model, it may be simpler to just write an evaluation function directly as an m-file or anonymous function.

Prodotti


Release

R2022b

Community Treasure Hunt

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

Start Hunting!

Translated by