Weighted Nonlinear Curve Fit Script with Plotter

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

Ver licencia

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

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

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versión Publicado Notas de la versión

example added

rounding on n significant digits (default n=2)

new options like change of header

minor bug fixes