FitData

class FitData(rawData)

Bases: handle

FitData abstract base for data fitting operations.

Provides a framework for fitting mathematical functions to experimental data using MATLAB’s curve fitting toolbox. Supports customizable fit parameters, bounds, and optimization settings.

Example1:

% Create a Gaussian fit object
data = [x, y]; % n x 2 array of x,y coordinates
gaussianFit = GaussianFit1D(data);
gaussianFit.do();
gaussianFit.plot();

Example2:

% Customize fit parameters
fitObj = LinearFit1D(data);
fitObj.IsOverride = true;
fitObj.StartPointOverride = [1.0, 0.5];
fitObj.do();

Constructor Summary

FitData(rawData)

Construct a FitData.

Parameters:

rawData (double array) – Input data for fitting

Property Summary

Coefficient double

Coefficient resulted from fit

CoefficientName string

Names of fit coefficients

FitFormula string

Mathematical formula for the fit function

Func

MATLAB fittype object

Gof

Goodness of fit

IsOverride logical = false

Whether to use override parameters

Lower (1,:) double

Fit coefficient lower bound

LowerOverride (1,:) double

Fit coefficient lower bound override

MaxFunEvals (1,1) double = 2000

Maximum function evaluations

MaxIter (1,1) double = 2000

Maximum iterations for optimization

MinimumDataSize double

Minimum number of data points required

RawData double

Input data for fitting

Result

MATLAB fitobject

StartPoint (1,:) double

Fit coefficient start point

StartPointOverride (1,:) double

Fit coefficient start point override

TolFun (1,1) double = 1E-16

Function tolerance for optimization

Upper (1,:) double

Fit coefficient upper bound

UpperOverride (1,:) double

Fit coefficient upper bound override

Method Summary

clearOverride()

Clear all override parameters.

Example:

fitObj.clearOverride();

setDefaultOverride()

Set override parameters to default values.

Example:

fitObj.setDefaultOverride();