MyLorentzianGradFit.m
f6174e28e52cFreqRINCal

MyLorentzianGradFit.m
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			classdef MyLorentzianGradFit < MyFit
			%Public methods
			methods (Access=public)
			%Constructor function
			function this=MyLorentzianGradFit(varargin)
			this@MyFit(...
			'fit_name','LorentzianGrad',...
			'fit_function','1/piab/2/((x-c)^2+(b/2)^2)+d*(x-c)+e',...
			'fit_tex','$$\frac{a}{\pi}\frac{b/2}{(x-c)^2+(b/2)^2}+d(x-c)+e$$',...
			'fit_params', {'a','b','c','d','e'},...
			'fit_param_names',{'Amplitude','Width','Center','Gradient','Offset'},...
			varargin{:});
			end
			end

			methods (Access=protected)
			%Calculates the initial parameters using an external function.
			function [init_params,lim_lower,lim_upper]=calcInitParams(this)
			[init_params,lim_lower,lim_upper]=...
			initParamLorentzianGrad(this.Data.x,this.Data.y);
			end

			function genSliderVecs(this)
			genSliderVecs@MyFit(this);

			if validateData(this)
			%We choose to have the slider go over the range of
			%the x-values of the plot for the center of the
			%Lorentzian.
			this.slider_vecs{3}=...
			linspace(this.x_vec(1),this.x_vec(end),101);
			%Find the index closest to the init parameter
			[~,ind]=...
			min(abs(this.init_params(3)-this.slider_vecs{3}));
			%Set to ind-1 as the slider goes from 0 to 100
			set(this.Gui.(sprintf('Slider_%s',...
			this.fit_params{3})),'Value',ind-1);
			end
			end
			end
			end