Data fitting with correlation coefficient

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

[Walter Roberson]

http://www.mathworks.com/matlabcentral/answers/29922-why-your-question-is-not-urgent-or-an-emergency

[Eman Nabil]

I've changed the question form according to your attached link do you have an answer to the question itself? thanks

Answer 1

[Amr Hashem]

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