Weighted Nonlinear Curve Fit Script with Plotter

Versión 1.4.0.0 (8,4 KB) por Jannick
This curve fitting script calculates best guess and errors using data with y-error. Plot see preview
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Actualizado 19 mar 2012

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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.

Citar como

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. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2008a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Linear and Nonlinear Regression en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: Shapiro-Wilk and Shapiro-Francia normality tests.

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Versión Publicado Notas de la versión
1.4.0.0

example added

1.3.0.0

rounding on n significant digits (default n=2)

1.2.0.0

new options like change of header

1.1.0.0

minor bug fixes

1.0.0.0