Weighted Nonlinear Curve Fit Script with Plotter
This weighted nonlinear fit script fulfills the requirements of physicists, chemists and other quantative scientists, who need a fitting script for the everyday use. This script fits and creates nice plots with results and data automatically printed in a legend. It saves much time compared to using origin or other fitting programs.
It uses built in minimization routines to obtain the best guess for the fit variables. The error is determined by adding some value x (depending on how many variables are fitted) to the minimum chi^2 value and finding the value of the respective fitting variable so that chi^2 is equal to min(chi^2)+x.
Citation pour cette source
Jannick (2024). Weighted Nonlinear Curve Fit Script with Plotter (https://www.mathworks.com/matlabcentral/fileexchange/35565-weighted-nonlinear-curve-fit-script-with-plotter), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
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Remerciements
Inspiré par : Shapiro-Wilk and Shapiro-Francia normality tests.
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Version | Publié le | Notes de version | |
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1.4.0.0 | example added |
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1.3.0.0 | rounding on n significant digits (default n=2) |
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1.2.0.0 | new options like change of header |
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1.1.0.0 | minor bug fixes |
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1.0.0.0 |