MATLAB: Any automatic curve fitting tool/function for fitting complex nonlinear curves

autofitautomatic curve fittingcurev fitCurve Fitting Toolboxdata fitImage Processing ToolboxMATLAB

I require an automatic curve fit function which gives me an equation of fit and the error values(Rsquare, RMSE etc.) for nonlinear one dim. data which I can use in my function. I dont need a GUI based manual fitting.

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So far the best solution to the question is using sin and gauss functions either directly or using cftool.

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MATLAB: Matlab curve fitting tool automation for selection of fit with minimum sse.

You could certainly write your own function by using the gof output of the "fit" function.

Here is an example that shows you how to use the "fit" to see the Goodness of Fit of different methods. You could store the "gof" values in an array and find the max GoF.

function bestFitName = Gof_Finder( x, y )
    Fits = {'poly1', 'poly2', 'poly3', 'exp1'};
      for i=1:numel(Fits)
          [~,GoFs(i)] = fit( x, y,  Fits{i} );
      end
      [~, minIdx] = min([GoFs.sse]);
      bestFitName = Fits{minIdx};
  end

The above function will return the name of the best fit of the data x and y.

MATLAB: Fitting experimental data to find a function

You can try polyfit function or other curve fit function, i.e. nlinfit or lsqcurvefit,to find proper equation. you also use cftool to curve or regress your data.

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MATLAB: Matlab curve fitting tool automation for selection of fit with minimum sse.

MATLAB: Fitting experimental data to find a function

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