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, 12:47pm 5

Check out this document too on lin-log and log-log regressions.

1 Like

Topic		Replies	Views
Linear Fit New to Julia curve-fitting	8	5285	August 3, 2022
Plot fitted curves New to Julia question , curve-fitting	6	1553	March 21, 2022
Alternatives to LsqFit for nonlinear curve fitting? General Usage curve-fitting	12	3246	December 21, 2023
Exponential Curve Fit Equation New to Julia question	6	2354	March 28, 2022
How to use the output of log_fit in abline plotted in a loglog plot in Julia General Usage question , plotting	4	1274	December 23, 2019

Simple curve fitting with CurveFit (or alternative)

Related topics