I analyze my data using Excel solver tool to fit my calculated values to experimental values. The set objective is the correlation value of the 2 sets of data and the variables are four different parameter values from my data. I am still not satisfied with the sigmoidal fits I get, though the final data solution makes some sense. Is there any other nonlinear fitting tools I can use which can give me more accurate sigmoidal (two-states protein unfolding) fits?
For nonlinear curve fitting, I use XLfit, which is an Excel add-in, or Grafit.
I'd recommend using NumeRe (https://en.numere.org). Can do many things, which the proprietary apps can do, but is freely available via GPLv3. Furthermore, it has a quite comfortable variant of the Levenberg-Marquardt curve fitting algorithm with more-or-less arbitrary function expressions. Is more table oriented than MATLAB, for example, and can read Excel files as well.
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