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rINSTCONTROL/@MyFit/MyFit.m
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MyFit.m
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classdef MyFit < handle
properties
Gui
Data;
Fit;
Parser;
fit_name='linear'
init_params=[];
scale_init=[];
FitStruct;
Fitdata;
coeffs;
enable_gui=1;
enable_plot;
plot_handle;
end
properties (Dependent=true)
fit_function;
fit_tex;
fit_params;
fit_param_names;
valid_fit_names;
n_params;
scaled_params;
init_param_fun;
end
methods
function this=MyFit(varargin)
createFitStruct(this);
createParser(this);
parse(this.Parser,varargin{:});
parseInputs(this);
if ismember('Data',this.Parser.UsingDefaults) &&...
~ismember('x',this.Parser.UsingDefaults) &&...
~ismember('y',this.Parser.UsingDefaults)
this.Data.x=this.Parser.Results.x;
this.Data.y=this.Parser.Results.y;
end
genInitParams(this);
this.scale_init=ones(1,this.n_params);
if this.enable_gui
createGui(this);
end
end
%Creates the GUI of MyFit
createGui(this);
function createParser(this)
p=inputParser;
addParameter(p,'fit_name','linear',@ischar)
addParameter(p,'Data',MyTrace());
addParameter(p,'Fit',MyTrace());
addParameter(p,'x',[]);
addParameter(p,'y',[]);
addParameter(p,'enable_gui',1);
addParameter(p,'enable_plot',0);
addParameter(p,'plot_handle',[]);
this.Parser=p;
end
%Sets the class variables to the inputs from the inputParser.
function parseInputs(this)
for i=1:length(this.Parser.Parameters)
%Takes the value from the inputParser to the appropriate
%property.
if isprop(this,this.Parser.Parameters{i})
this.(this.Parser.Parameters{i})=...
this.Parser.Results.(this.Parser.Parameters{i});
end
end
end
function fitTrace(this)
this.Fit.x=linspace(min(this.Data.x),max(this.Data.x),1e3);
switch this.fit_name
case 'linear'
this.coeffs=polyfit(this.Data.x,this.Data.y,1);
case 'quadratic'
this.coeffs=polyfit(this.Data.x,this.Data.y,2);
case 'exponential'
this.Fitdata=fitExponential(this.Data.x,...
this.Data.y,this.scaled_params);
this.coeffs=coeffvalues(this.Fitdata);
this.Fit.y=this.Fitdata(this.Fit.x);
otherwise
ft=fittype(this.fit_function);
this.Fitdata=fit(this.Data.x,this.Data.y,...
ft);
this.Fit.y=this.Fitdata(this.Fit.x)';
this.coeffs=coeffvalues(this.Fitdata);
end
this.init_params=this.coeffs;
this.scale_init=ones(1,this.n_params);
updateGui(this);
end
function createFitStruct(this)
%Adds fits
addFit(this,'linear','a*x_b','$$ax+b$$',{'a','b'},...
{'Gradient','Offset'})
addFit(this,'quadratic','a*x^2+b*x+c','$$ax^2+bx+c$$',...
{'a','b','c'},{'Quadratic coeff.','Linear coeff.','Offset'});
addFit(this,'gaussian','a*exp(-((x-c)/b)^2/2)+d',...
'$$ae^{-\frac{(x-c)^2}{2b^2}}+d$$',{'a','b','c','d'},...
{'Amplitude','Width','Center','Offset'});
addFit(this,'lorentzian','a/(pi)*(b/((x-c)^2+b^2))',...
'$$\frac{a}{1+\frac{(x-c)^2}{b^2}}+d$$',{'a','b','c','d'},...
{'Amplitude','Width','Center','Offset'});
addFit(this,'exponential','a*exp(b*x)+c',...
'$$ae^{bx}+c$$',{'a','b','c'},...
{'Amplitude','Rate','Offset'});
end
function updateGui(this)
%Converts the scale variable to the value between 0 and 100
%necessary for the slider
slider_vals=25*log10(this.scale_init)+50;
for i=1:this.n_params
set(this.Gui.(sprintf('edit_%s',this.fit_params{i})),...
'String',sprintf('%3.3e',this.scaled_params(i)));
set(this.Gui.(sprintf('slider_%s',this.fit_params{i})),...
'Value',slider_vals(i));
end
end
%Adds a fit to the list of fits
function addFit(this,fit_name,fit_function,fit_tex,fit_params,...
fit_param_names)
this.FitStruct.(fit_name).fit_function=fit_function;
this.FitStruct.(fit_name).fit_tex=fit_tex;
this.FitStruct.(fit_name).fit_params=fit_params;
this.FitStruct.(fit_name).fit_param_names=fit_param_names;
%Generates the anonymous fit function from the above
args=['@(x,', strjoin(fit_params,','),')'];
anon_fit_fun=str2func(vectorize([args,fit_function]));
this.FitStruct.(fit_name).anon_fit_fun=anon_fit_fun;
end
function genInitParams(this)
switch this.fit_name
case 'exponential'
this.init_params=initParamExponential(this.Data.x,...
this.Data.y);
otherwise
this.init_params=ones(1,this.n_params);
end
end
function slider_Callback(this, param_ind, hObject, ~)
%Gets the value from the slider
scale=get(hObject,'Value');
%Updates the scale with a new value
this.scale_init(param_ind)=10^((scale-50)/25);
%Updates the edit box with the new value from the slider
set(this.Gui.(sprintf('edit_%s',this.fit_params{param_ind})),...
'String',sprintf('%3.3e',this.scaled_params(param_ind)));
if this.enable_plot; plotInitFun(this); end
end
function edit_Callback(this, hObject, ~)
init_param=str2double(get(hObject,'String'));
tag=get(hObject,'Tag');
%Finds the index where the fit_param name begins (convention is
%after the underscore)
fit_param=tag((strfind(tag,'_')+1):end);
param_ind=strcmp(fit_param,this.fit_params);
%Updates the slider to be such that the scaling is 1
set(this.Gui.(sprintf('slider_%s',fit_param)),...
'Value',50);
%Updates the correct initial parameter
this.init_params(param_ind)=init_param;
if this.enable_plot; plotInitFun(this); end
end
function plotInitFun(this)
%Substantially faster than any alternative - generating
%anonymous functions is very cpu intensive. Further
%improvements could be made by using set(Xdata,Ydata)
x_vec=linspace(min(this.Data.x),max(this.Data.x),1000);
input_cell=num2cell(this.scaled_params);
y_vec=feval(this.FitStruct.(this.fit_name).anon_fit_fun,x_vec,...
input_cell{:});
plot(this.plot_handle,x_vec,y_vec);
end
function set.fit_name(this,fit_name)
assert(ischar(fit_name),'The fit name must be a string');
this.fit_name=lower(fit_name);
end
function valid_fit_names=get.valid_fit_names(this)
valid_fit_names=fieldnames(this.FitStruct);
end
function fit_function=get.fit_function(this)
assert(ismember(this.fit_name,this.valid_fit_names),...
'%s is not a supported fit name',this.fit_name);
fit_function=this.FitStruct.(this.fit_name).fit_function;
end
function fit_tex=get.fit_tex(this)
assert(ismember(this.fit_name,this.valid_fit_names),...
'%s is not a supported fit name',this.fit_name);
fit_tex=this.FitStruct.(this.fit_name).fit_tex;
end
function fit_params=get.fit_params(this)
assert(ismember(this.fit_name,this.valid_fit_names),...
'%s is not a supported fit name',this.fit_name);
fit_params=this.FitStruct.(this.fit_name).fit_params;
end
function fit_param_names=get.fit_param_names(this)
assert(ismember(this.fit_name,this.valid_fit_names),...
'%s is not a supported fit name',this.fit_name);
fit_param_names=this.FitStruct.(this.fit_name).fit_param_names;
end
function scaled_params=get.scaled_params(this)
scaled_params=this.scale_init.*this.init_params;
end
function n_params=get.n_params(this)
n_params=length(this.fit_params);
end
end
end
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