Curve Fitters (curvefit) – SCILAB Toolbox

Toolbox: curvefit

Title: Curve Fitters

Summary: A toolbox for fitting data-points to a line, polynomial or an exponential curve using the Least Square Approximation.

Version: 1.0.1

Author: Manas Sharma

Maintainer: Manas Sharma

Category: Data Analysis and Statistics

Entity: Manas Sharma

WebSite: https://www.bragitoff.com/

License: Creative Commons Attribution-ShareAlike 3.0

ScilabVersion: >= 5.4

Depends:

Date: 2016-03-03

Description: A toolbox for fitting data-points to a line, polynomial or an exponential curve using the Least Square Approximation.

Macros:

  • linefit – Fit a given set of data-points to a line. Returns the fitted data points, slope and the intercept of the line.
  • npolyfit – To fit a given set of data points to a polynomial.
  • expofit – To Exponentially fit a given set of data points
  • lfitplot – Fit a given set of data-points to a line. Returns the fitted data points, slope and the intercept of the line and plot the original and fitted data..
  • pfitplot – To fit a given set of data points to a polynomial and plot the original and fitted data.
  • efitplot – To Exponentially fit a given set of data points and plot the original and fitted data.

HELP:
Check out the following links for more info:
https://www.bragitoff.com/2016/03/exponential-fitting-scilab/
https://www.bragitoff.com/2016/03/linear-fitting-scilab/
https://www.bragitoff.com/2016/03/polynomial-fitting-scilab/

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PhD researcher at Friedrich-Schiller University Jena, Germany. I'm a physicist specializing in theoretical, computational and experimental condensed matter physics. I like to develop Physics related apps and softwares from time to time. Can code in most of the popular languages. Like to share my knowledge in Physics and applications using this Blog and a YouTube channel.



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