How can I create a modified curve fitting function?
이전 댓글 표시
Hi,
i want to fit a recovery curve of my experiment to the following expression:
F(t)=k*exp(-D/2t)[I0(D/2t)+I1(D/2t)]
where I0 and I1 are the modified Bessel fundtions of the first kind of zero and first order. I want to determine D and k.
Is there any simple solution for this problem?
Thanks for helping
댓글 수: 5
John D'Errico
2017년 3월 19일
Why do you need a "modified" curvefitting tool? Is there any reason why the many such tools already in existence will not work? Thus why not use nlinfit, lsqnonlin, lsqcurvefit, or the curvefitting toolbox itself? There are probably others I've just forgotten to add in that list. And, yes, you could use a tool like fminsearch too.
Christian
2017년 3월 19일
Star Strider
2017년 3월 19일
It is straightforward to write your own anonymous function to do that. See the section on ‘Anonymous Functions’ in the documentation on Function Basics. Then use the Statistics and Machine Learning Toolbox function nlinfit and its friends nlparci and nlpredci.
Christian
2017년 3월 19일
Star Strider
2017년 3월 19일
My pleasure.
If you have problems, post your code. We can help.
답변 (2개)
John D'Errico
2017년 3월 19일
편집: John D'Errico
2017년 3월 19일
Yes. Of course it is possible to do this. What toolbox do you have available? It sounds like the curve fitting TB is what you have. READ THE HELP. Look at the examples provided.
You said modified first kind Bessel, so you would use besseli. I'll get you started:
I0 = @(z) besseli(0,z);
I1 = @(z) besseli(1,z);
F = @(P,t) P(1)*exp(-P(2)/2*t).*(I0(P(2)/2*t)+I1(P(2)/2*t));
The curve fitting toolbox should be able to use this, as well as nlinfit and lsqcurvefit.
Note that I made the assumption that D/2t should be interpreted as (D/2)*t, NOT as D/(2*t).
댓글 수: 3
Christian
2017년 3월 20일
Christian
2017년 3월 20일
Sung YunSing
2021년 8월 18일
Hi just want to mention that if you were working at FRAP, maybe D/(2*t) is more conform to the origin FRAP equation.
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