Data fitting with correlation coefficient
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I have 1 dimensional array of data (nonlinear regression) that I need to figure out the best curve fitting (normal, weibull, Exponential, ....) for, according to the higher correlation coefficient (R). what is the Matlab function to use "without third party code, like mike's allfitdist or fitmethis codes"? thanks in advance
Answers (1)
Amr Hashem
on 29 Oct 2015
If you want to find " The best curve fitting", you can use
cftool
which is a graphical user interface.
or you can use the functions of each, for example:
expfcn = @(b,x) b(1).*exp(b(2).*x); %exponential with 2 parameters
B0=[50;0] % intial parameters
B=nlinfit(values,ydata,expfcn,B0);
Exp=expfcn(B0,xvalues);
plot(xvalues,Exp)
but if you want to find " The best distribution fitting", you can use
exppdf % exponential
fitdist(data,'normal'); % normal
wblpdf % weibull
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