MATLAB: Transform cfit (fitted data) into a numeric data array

cfit

f=fit(x,y,'linearinterp');

I need to save f fitted numeric data from the original data into a different array such as;

fitted_data=f

How I can transform cfit type of fitted data to the numeric (double) fitted data?

Best Answer

If I understand your question, it looks like you want to get the fitted data as an array of doubles.

According to this documentation:

https://www.mathworks.com/help/curvefit/evaluate-a-curve-fit.html

You can supply the fit with a range of values that you are looking for like so:

xi = (2000:10:2050).';

fitted_data = f(xi)

Hope this helps.

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P = D./f1(x2);

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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.

Best Answer

Related Solutions

MATLAB: Division of cfit objects

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