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.

Zitieren als

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

Quellenangaben

Inspiriert von: Shapiro-Wilk and Shapiro-Francia normality tests.

Kategorien

Mehr zu Linear and Nonlinear Regression finden Sie in Help Center und MATLAB Answers

Allgemeine Informationen

Kompatibilität der MATLAB-Version

  • Kompatibel mit allen Versionen

Plattform-Kompatibilität

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  • macOS
  • Linux
Version Veröffentlicht Versionshinweise 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