problem using nlinfit
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Hi. I'm trying to use nlinfit to fit some experimental data. I keep getting the same error message:
??? Undefined function or method 'nlinfit' for input arguments of type
'function_handle'.
Error in ==> fit_parameter_L at 17
vfit = nlinfit(x, log(exp_data(:,2)), @fun, v0);
I tried to simplify my code as much as possible and to make it look exactly like examples I could find on the Internet (like here: http://www.mathworks.com/matlabcentral/fileexchange/13648-lorentzian-fit, since the example in the Help is useless). In the end it looks like a linear fitting:
x = exp_data(:,1);
v0 = [1 1] ;
vfit = nlinfit(x, log(exp_data(:,2)), @fun, v0);
semilogy( exp_data_max(:,1), exp_data_max(:,2), 'b', ...
exp_data_max(:,1), fun(vfit, exp_data_max(:,1)), 'r' );
with the following "fun" function in a separate .m file:
function [y]=fun(v,x)
a = v(1);
b = v(2);
y = a .* x + b;
I know other, simpler functions could be used to solve this linear problem but I really need to use nlinfit since my initial model contains nonlinear terms. I'm going to extend this version as soon as I can get it work. So can you please tell me what is wrong in the code above? Could there be a problem with the version of Matlab I use?
Thanks.
Tibo
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