Hey there, So I have a signal and I fitted a Gaussian model with 8 peaks which results in a total of 24 parameters. I would like change the fitted model coefficients with a small variance to see the change in the fitted model. And I want to this for all of the 24 parameters iteratively in a loop. I know how to extract the coefficient values and names. Fitted model looks like;
a1*exp(-((x-b1)/c1)^2) + a2*exp(-((x-b2)/c2)^2) + a3*exp(-((x-b3)/c3)^2) + a4*exp(-((x-b4)/c4)^2) + a5*exp(-((x-b5)/c5)^2) + a6*exp(-((x-b6)/c6)^2) + a7*exp(-((x-b7)/c7)^2) + a8*exp(-((x-b8)/c8)^2)
Just a simple code;
>> [fitresult, gof] = fit( xData, yData, ft, opts );>> cVals = coeffvalues(fitresult);>> cNms = coeffnames(fitresult); % Cell
>> fitresult.cNms{1} = 1;
When I try to do this I get the following error;
"The name 'ss' is not a coefficient or a problem parameter. You can only use dot notation to access the coefficients and problem parameters of a cfit or sfit, e.g., 'f.a1'."
So my question is how can I do that without manually entering all the coefficients name like "a1", "a2" and do it automatically?
Thanks in advance,
Baris
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