Weighted Nonlinear Curve Fit Script with Plotter

This curve fitting script calculates best guess and errors using data with y-error. Plot see preview

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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 (2026). Weighted Nonlinear Curve Fit Script with Plotter (https://la.mathworks.com/matlabcentral/fileexchange/35565-weighted-nonlinear-curve-fit-script-with-plotter), MATLAB Central File Exchange. Recuperado .

Agradecimientos

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

Categorías

Más información sobre Linear and Nonlinear Regression en Help Center y MATLAB Answers.

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux
Versión Publicado Notas de la versión Action
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