Fitting with dependent variable in model expr

2011 2 24
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When trying to combine data taken in two independent experiments, I ran across the following problem when fitting:
z(P) = w(z)*f(P)
w(z) is known in the form of a cfit object, z is the dependent and P the independent from a set of data.
My first thoughts were to invert the function to obtain P(z) rather than z(P) and then to use eval in the model, but I can't figure out the proper way to formulate the fittype model to allow for this sort of behavior.
Does anybody know how to do this? I need a few pointers :)

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回答（1 个）

Niko
Niko 2011-2-24

0 个投票

I solved the first problem by inverting my data, and fitting an inverted function of the form
P(z) = f^-1(z) * g(w(z))
with f,g being the appropriate functions for this transformation. The remaining question is how to do this in matlab:
Fittype with expr (w is a cfit object)
'z/feval(w,z)'
or
'z/w(z)'
throws an error:
is not a valid MATLAB expression,
has non-scalar coefficients, or cannot be evaluated

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Niko
Niko
2011-2-24

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