How can I fit a custom function that contains workspace vector variables?
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% data values
X = [-7.2460 -7.3355 -7.4320 -7.5752 -7.6996 -7.8780 -8.1560 -8.3517 -8.6170 -8.8883 -9.1808 -9.6629 -10.5808 -13.6249 -21.4783] ;
Y = [ -14.5516 -12.5218 -15.2762 -13.5768 -11.7304 -13.1678 -13.5329 -13.7761 -12.5162 -10.0737 -12.3137 -12.0351 -9.6663 -9.0393 -4.9973];
%fit
customfit = fit(X, Y, @(s, x) fun (s, X));
fittedfunc = fun(customfit.s, X);
figure;
plot(X, Y, 'r')
hold on
plot(X, fittedfunc, 'b')
function y = fun(s, x)
gme = 1.0e-04 *[0.0000 0.1978 0.2404 0.2862 0.2871 0.3603 0.4394 0.5141 0.5789 0.7762 0.7014 0.7476 0.8268 0.5400 0.0216];
y = log(((gme./x).^2))+log(s);
end
this is the code that does not work. I have to use that specific funcion with those specific values of "gme" and I'm interested in fitting it with those data and find the "s" parameter. Matlab's answer is:
Error using fit>iFit (line 127)
X must be a matrix with one or two columns.
Error in fit (line 108)
[fitobj, goodness, output, convmsg] = iFit( xdatain, ydatain, fittypeobj, ...
Error in Untitled (line 6)
customfit = fit(X, Y, @(s, x) fun (s, X));
Anybody knows how to solve this problem?? Thanks a lot!!
0 comentarios
Respuestas (1)
darova
el 5 de Mayo de 2020
Try following recommendations
2 comentarios
darova
el 5 de Mayo de 2020
I changed your code
% data values
gme = 1.0e-04 *[0.0000 0.1978 0.2404 0.2862 0.2871 0.3603 0.4394 0.5141 0.5789 0.7762 0.7014 0.7476 0.8268 0.5400 0.0216];
X = [-7.2460 -7.3355 -7.4320 -7.5752 -7.6996 -7.8780 -8.1560 -8.3517 -8.6170 -8.8883 -9.1808 -9.6629 -10.5808 -13.6249 -21.4783] ;
Y = [ -14.5516 -12.5218 -15.2762 -13.5768 -11.7304 -13.1678 -13.5329 -13.7761 -12.5162 -10.0737 -12.3137 -12.0351 -9.6663 -9.0393 -4.9973];
gme = flip(gme);
X = flip(X);
Y = flip(Y);
f1 = griddedInterpolant(X,gme);
f2 = @(s,x) log(((f1(x)./x).^2))+log(s);
% F = fit(X(:), Y(:), f2);
plot(X, Y, 'r')
hold on
plot(X, f2(10,X), 'b')
hold off
Blue curve is the curve you want to fit
But only thing you are changing is s, it only moves the curve up and down. Are you sure your fit function is correct?
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