I’d like to try different curves against data to see which of them would best fit. So in this example x0 = collect(1.0:100.0) y0 = x .^ 4.5 f0 = curve_fit(LinearFit, x0, y0) I’d like to learn just how bad it is, but is there an easy way to get that out of it?

I have a very simple package to make fits really, really simple, in common cases: GitHub - m3g/EasyFit.jl: Easy interface for obtaining fits for 2D data

Simple curve fitting with CurveFit (or alternative)

General Usage

rafael.guerra April 7, 2021, 10:22am 2

Please check this post.

1 Like

Topic		Replies	Views
Linear Fit New to Julia curve-fitting	8	4183	August 3, 2022
How to use the 'LsqFit.curve_fit'? General Usage question , curve-fitting , lsqfit	0	392	April 16, 2023
Linear/Poly Fit on a set of data General Usage question , plotting , curve-fitting	4	191	May 12, 2024
Plot fitted curves New to Julia question , curve-fitting	6	1422	March 21, 2022
Alternatives to LsqFit for nonlinear curve fitting? General Usage curve-fitting	12	2232	December 21, 2023

Simple curve fitting with CurveFit (or alternative)

Related topics