#include <Fit.h>

Inheritance diagram for Fit:

Public Types
enum	Algorithm { ScaledLevenbergMarquardt, UnscaledLevenbergMarquardt, NelderMeadSimplex }
enum	ErrorSource { UnknownErrors, AssociatedErrors, PoissonErrors, CustomErrors }
typedef int(*	fit_function )(const gsl_vector , void , gsl_vector *)
typedef int(*	fit_function_df )(const gsl_vector , void , gsl_matrix *)
typedef int(*	fit_function_fdf )(const gsl_vector , void , gsl_vector , gsl_matrix )
typedef double(*	fit_function_simplex )(const gsl_vector , void )

Public Member Functions
double	chiSquare ()
	Returns the sum of squares of the residuals from the best-fit line.
Matrix *	covarianceMatrix (const QString &matrixName)
double *	errors ()
	Returns a vector with the standard deviations of the results.
double	evaluate_d (const gsl_vector *x)
int	evaluate_df (const gsl_vector x, gsl_matrix J)
int	evaluate_f (const gsl_vector x, gsl_vector f)
	Fit (ApplicationWindow parent, Graph g=0, const char *name=0)
virtual void	fit ()
	Actually does the fit. Should be reimplemented in derived classes.
QString	formula ()
void	generateFunction (bool yes, int points=100)
	Specifies weather the result of the fit is a function curve.
virtual void	guessInitialValues ()
virtual QString	legendInfo ()
	Output string added to the plot as a new legend.
int	numParameters ()
Table *	parametersTable (const QString &tableName)
double *	results ()
	Returns a vector with the fit results.
double	rSquare ()
	Returns the coefficient of determination, R^2.
void	scaleErrors (bool yes=true)
	Specifies wheather the errors must be scaled with sqrt(chi_2/dof)
void	setAlgorithm (Algorithm s)
void	setDataCurve (int curve, double start, double end)
void	setInitialGuess (int parIndex, double val)
void	setInitialGuesses (double *x_init)
bool	setYErrorSource (ErrorSource err, const QString &colName=QString::null, bool fail_silently=false)
	Sets the data set to be used as source of Y errors.
	~Fit ()
Public Member Functions inherited from Filter
int	dataSize ()
	Returns the size of the fitted data set.
bool	error ()
	Filter (ApplicationWindow parent, Table t=0, const char *name=0)
	Filter (ApplicationWindow parent, Graph g=0, const char *name=0)
virtual bool	run ()
	Actually does the job. Should be reimplemented in derived classes.
void	setColor (int colorId)
	Sets the color of the output fit curve.
void	setColor (const QString &colorName)
	Sets the color of the output fit curve. Provided for convenience. To be used in scripts only!
bool	setDataFromCurve (const QString &curveTitle, Graph *g=0)
bool	setDataFromCurve (const QString &curveTitle, double from, double to, Graph *g=0)
void	setInterval (double from, double to)
	Changes the data range if the source curve was already assigned. Provided for convenience.
void	setMaximumIterations (int iter)
	Sets the maximum number of iterations to be performed during an iterative session.
void	setOutputPoints (int points)
	Sets the number of points in the output curve.
void	setOutputPrecision (int digits)
	Sets the precision used for the output.
void	setTolerance (double eps)
	Sets the tolerance used by the GSL routines.
virtual void	showLegend ()
	Adds a new legend to the plot. Calls virtual legendInfo()
	~Filter ()
Public Member Functions inherited from scripted
	scripted (ScriptingEnv *env)
void	scriptingChangeEvent (ScriptingChangeEvent *)
	~scripted ()

Static Public Member Functions
static double	evaluate_df_helper (double x, void *param)

Protected Slots
void	scriptError (const QString &message, const QString &script_name, int line_number)

Protected Member Functions
virtual void	calculateFitCurveData (double par, double X, double *Y)
	Calculates the data for the output fit curve and store itin the X an Y vectors.
virtual void	generateFitCurve (double *par)
	Adds the result curve to the plot.
void	insertFitFunctionCurve (const QString &name, double x, double y, int penWidth=1)
	Adds the result curve as a FunctionCurve to the plot, if d_gen_function = true.
virtual QString	logFitInfo (double *par, int iterations, int status, const QString &plotName)
	Output string added to the result log.
Protected Member Functions inherited from Filter
QwtPlotCurve *	addResultCurve (double x, double y)
	Adds the result curve to the target output plot window. Creates a hidden table and frees the input data from memory.
virtual void	calculateOutputData (double X, double Y)
	Calculates the data for the output curve and store it in the X an Y vectors.
int	curveIndex (const QString &curveTitle, Graph *g)
	Performs checks and returns the index of the source data curve if OK, -1 otherwise.
virtual bool	isDataAcceptable ()
virtual QString	logInfo ()
	Output string added to the log pannel of the application.
virtual void	output ()
	Performs the data analysis and takes care of the output.

Protected Attributes
double	chi_2
	The sum of squares of the residuals from the best-fit line.
gsl_matrix *	covar
	Covariance matrix.
fit_function_df	d_df
fit_function	d_f
fit_function_fdf	d_fdf
QString	d_formula
	The fit formula.
fit_function_simplex	d_fsimplex
bool	d_gen_function
	Specifies weather the result curve is a FunctionCurve or a normal curve with the same x values as the fit data.
int	d_p
	Number of fit parameters.
QStringList	d_param_explain
	Stores a list of short explanations for the significance of the fit parameters.
gsl_vector *	d_param_init
	Initial guesses for the fit parameters.
QStringList	d_param_names
	Names of the fit parameters.
double *	d_result_errors
	Stores standard deviations of the result parameters.
double *	d_results
	Stores the result parameters.
bool	d_scale_errors
	Specifies wheather the errors must be scaled with sqrt(chi_2/dof)
Script *	d_script
	Script used to evaluate user-defined functions.
Algorithm	d_solver
	Algorithm type.
QString	d_y_error_dataset
	The name of the dataset containing Y standard errors (if applicable).
ErrorSource	d_y_error_source
	Where standard errors of the input data are taken from.
double *	d_y_errors
	Standard deviations of Y input data.
bool	is_non_linear
	Tells whether the fitter uses non-linear/simplex fitting with an initial parameters set, that must be freed in the destructor.
Protected Attributes inherited from Filter
QwtPlotCurve *	d_curve
	The curve to be analysed.
int	d_curveColorIndex
	Color index of the result curve.
QString	d_explanation
	String explaining the operation in the comment of the result table and in the project explorer.
double	d_from
	Data interval.
Graph *	d_graph
	The graph where the result curve should be displayed.
bool	d_init_err
	Error flag telling if something went wrong during the initialization phase.
int	d_max_iterations
	Maximum number of iterations per fit.
int	d_min_points
	Minimum number of data points necessary to perform the operation.
int	d_n
	Size of the data arrays.
int	d_points
	Number of result points to de calculated and displayed in the output curve.
int	d_prec
	Precision (number of significant digits) used for the results output.
bool	d_sort_data
	Specifies if the filter needs sorted data as input.
Table *	d_table
	A table source of data.
double	d_to
double	d_tolerance
	GSL Tolerance, if ever needed...
double *	d_x
	x data set to be analysed
double *	d_y
	y data set to be analysed
Protected Attributes inherited from scripted
ScriptingEnv *	scriptEnv

Private Member Functions
double *	fitGslMultifit (int &iterations, int &status)
	Execute the fit using GSL non-linear least-squares fitting (Levenberg-Marquardt).
double *	fitGslMultimin (int &iterations, int &status)
	Execute the fit using GSL multidimensional minimization (Nelder-Mead Simplex).
virtual void	storeCustomFitResults (double *par)
	Customs and stores the fit results according to the derived class specifications. Used by exponential fits.

Detailed Description

Fit base class.

Member Typedef Documentation

typedef int(* Fit::fit_function)(const gsl_vector *, void *, gsl_vector *)

typedef int(* Fit::fit_function_df)(const gsl_vector *, void *, gsl_matrix *)

typedef int(* Fit::fit_function_fdf)(const gsl_vector *, void *, gsl_vector *, gsl_matrix *)

typedef double(* Fit::fit_function_simplex)(const gsl_vector *, void *)

Member Enumeration Documentation

enum Fit::Algorithm

Enumerator:

ScaledLevenbergMarquardt
UnscaledLevenbergMarquardt
NelderMeadSimplex

enum Fit::ErrorSource

Enumerator:

UnknownErrors
AssociatedErrors
PoissonErrors
CustomErrors

Constructor & Destructor Documentation

Fit::Fit	(	ApplicationWindow *	parent,
		Graph *	g = `0`,
		const char *	name = `0`
	)

Fit::~Fit ( )

References covar, d_p, d_param_init, d_result_errors, d_results, and is_non_linear.

Member Function Documentation

virtual void Fit::calculateFitCurveData	(	double *	par,
		double *	X,
		double *	Y
	)

inlineprotectedvirtual

Calculates the data for the output fit curve and store itin the X an Y vectors.

Reimplemented in GaussAmpFit, ThreeExpFit, LinearFit, TwoExpFit, PolynomialFit, PluginFit, ExponentialFit, NonLinearFit, and SigmoidalFit.

Referenced by generateFitCurve().

double Fit::chiSquare ( )

inline

Returns the sum of squares of the residuals from the best-fit line.

References chi_2.

Matrix * Fit::covarianceMatrix ( const QString & matrixName )

References covar, d_p, Filter::d_prec, ApplicationWindow::newMatrix(), and Matrix::setText().

Referenced by FitDialog::showCovarianceMatrix().

double * Fit::errors ( )

Returns a vector with the standard deviations of the results.

References chi_2, covar, Filter::d_n, d_p, d_result_errors, and d_scale_errors.

double Fit::evaluate_d ( const gsl_vector * x )

References Filter::d_n, d_p, d_param_names, d_script, Filter::d_x, Filter::d_y, d_y_errors, Script::eval(), and Script::setDouble().

Referenced by user_d().

int Fit::evaluate_df	(	const gsl_vector *	x,
		gsl_matrix *	J
	)

References Filter::d_n, d_p, d_param_names, d_script, Filter::d_x, d_y_errors, evaluate_df_helper(), DiffData::param, DiffData::script, Script::setDouble(), and DiffData::success.

Referenced by user_df().

double Fit::evaluate_df_helper	(	double	x,
		void *	param
	)

static

References Filter::error(), Script::eval(), DiffData::param, DiffData::script, Script::setDouble(), and DiffData::success.

Referenced by evaluate_df().

int Fit::evaluate_f	(	const gsl_vector *	x,
		gsl_vector *	f
	)

References Filter::d_n, d_p, d_param_names, d_script, Filter::d_x, Filter::d_y, d_y_errors, Script::eval(), and Script::setDouble().

Referenced by user_f().

void Fit::fit ( )

virtual

Actually does the fit. Should be reimplemented in derived classes.

Reimplemented in LinearFit, and PolynomialFit.

References d_formula, Filter::d_graph, Filter::d_init_err, Filter::d_n, d_p, d_results, d_script, d_solver, Filter::error(), fitGslMultifit(), fitGslMultimin(), generateFitCurve(), logFitInfo(), NelderMeadSimplex, ScriptingEnv::newScript(), Graph::parentPlotName(), scripted::scriptEnv, scriptError(), storeCustomFitResults(), ApplicationWindow::updateLog(), and ApplicationWindow::writeFitResultsToLog.

Referenced by FitDialog::accept(), ApplicationWindow::analyzeCurve(), MultiPeakFitTool::finalize(), and ExpDecayDialog::fit().

double * Fit::fitGslMultifit	(	int &	iterations,
		int &	status
	)

private

Execute the fit using GSL non-linear least-squares fitting (Levenberg-Marquardt).

References chi_2, covar, d_df, d_f, d_fdf, Filter::d_max_iterations, Filter::d_n, d_p, d_param_init, d_solver, Filter::d_tolerance, Filter::d_x, Filter::d_y, d_y_error_source, d_y_errors, ScaledLevenbergMarquardt, UnknownErrors, and UnscaledLevenbergMarquardt.

Referenced by fit().

double * Fit::fitGslMultimin	(	int &	iterations,
		int &	status
	)

private

Execute the fit using GSL multidimensional minimization (Nelder-Mead Simplex).

References chi_2, covar, d_df, d_fsimplex, Filter::d_max_iterations, Filter::d_n, d_p, d_param_init, Filter::d_tolerance, Filter::d_x, Filter::d_y, d_y_error_source, d_y_errors, and UnknownErrors.

Referenced by fit().

QString Fit::formula ( )

inline

References d_formula.

Referenced by PolynomialFit::generateFormula(), MultiPeakFit::generateFormula(), insertFitFunctionCurve(), MultiPeakFit::insertPeakFunctionCurve(), and MultiPeakFit::peakFormula().

void Fit::generateFitCurve ( double * par )

protectedvirtual

Adds the result curve to the plot.

Reimplemented in MultiPeakFit.

References Graph::addFitCurve(), Filter::addResultCurve(), calculateFitCurveData(), d_gen_function, Filter::d_graph, Filter::d_n, Filter::d_points, insertFitFunctionCurve(), and Graph::replot().

Referenced by PolynomialFit::fit(), fit(), and LinearFit::fit().

void Fit::generateFunction	(	bool	yes,
		int	points = `100`
	)

Specifies weather the result of the fit is a function curve.

References d_gen_function, and Filter::d_points.

Referenced by FitDialog::accept(), ApplicationWindow::analyzeCurve(), PolynomFitDialog::fit(), ExpDecayDialog::fit(), and MultiPeakFitTool::MultiPeakFitTool().

virtual void Fit::guessInitialValues ( )

inlinevirtual

Reimplemented in MultiPeakFit, and SigmoidalFit.

Referenced by ApplicationWindow::analyzeCurve().

void Fit::insertFitFunctionCurve	(	const QString &	name,
		double *	x,
		double *	y,
		int	penWidth = `1`
	)

protected

Adds the result curve as a FunctionCurve to the plot, if d_gen_function = true.

References Graph::addFitCurve(), ColorBox::color(), Filter::d_curveColorIndex, d_formula, Filter::d_graph, Filter::d_n, d_p, d_param_names, Filter::d_points, Filter::d_prec, d_results, Filter::d_x, formula(), Graph::generateFunctionName(), Graph::insertPlotItem(), Graph::Line, FunctionCurve::Normal, FunctionCurve::setFormula(), and FunctionCurve::setRange().

Referenced by MultiPeakFit::generateFitCurve(), and generateFitCurve().

QString Fit::legendInfo ( )

virtual

Output string added to the plot as a new legend.

Reimplemented from Filter.

Reimplemented in PolynomialFit.

References chi_2, covar, Filter::d_curve, d_formula, Filter::d_n, d_p, d_param_names, Filter::d_prec, d_results, d_scale_errors, and rSquare().

QString Fit::logFitInfo	(	double *	par,
		int	iterations,
		int	status,
		const QString &	plotName
	)

protectedvirtual

Output string added to the result log.

Reimplemented in MultiPeakFit.

References AssociatedErrors, chi_2, covar, CustomErrors, Filter::d_curve, Filter::d_explanation, d_formula, Filter::d_n, d_p, d_param_explain, d_param_names, Filter::d_prec, d_scale_errors, d_solver, Filter::d_tolerance, Filter::d_x, d_y_error_dataset, d_y_error_source, is_non_linear, NelderMeadSimplex, PoissonErrors, rSquare(), UnknownErrors, and UnscaledLevenbergMarquardt.

Referenced by PolynomialFit::fit(), fit(), and LinearFit::fit().

int Fit::numParameters ( )

inline

References d_p.

Table * Fit::parametersTable ( const QString & tableName )

References Table::column(), covar, d_p, d_param_names, d_results, ApplicationWindow::newTable(), SciDAVis::Numeric, Column::setColumnMode(), Table::setHeader(), Column::setPlotDesignation(), Column::setTextAt(), Column::setValueAt(), SciDAVis::Text, and SciDAVis::yErr.

Referenced by FitDialog::showParametersTable().

double* Fit::results ( )

inline

Returns a vector with the fit results.

References d_results.

Referenced by FitDialog::accept(), and ExpDecayDialog::fit().

double Fit::rSquare ( )

Returns the coefficient of determination, R^2.

References chi_2, Filter::d_n, Filter::d_y, d_y_error_source, d_y_errors, and UnknownErrors.

Referenced by legendInfo(), and logFitInfo().

void Fit::scaleErrors ( bool yes = true )

inline

Specifies wheather the errors must be scaled with sqrt(chi_2/dof)

References d_scale_errors.

Referenced by FitDialog::accept(), ApplicationWindow::analyzeCurve(), PolynomFitDialog::fit(), and ExpDecayDialog::fit().

void Fit::scriptError	(	const QString &	message,
		const QString &	script_name,
		int	line_number
	)

protectedslot

Referenced by fit().

void Fit::setAlgorithm ( Algorithm s )

inline

References d_solver.

Referenced by FitDialog::accept().

void Fit::setDataCurve	(	int	curve,
		double	start,
		double	end
	)

virtual

Reimplemented from Filter.

References AssociatedErrors, Filter::d_n, d_y_errors, setYErrorSource(), and UnknownErrors.

void Fit::setInitialGuess	(	int	parIndex,
		double	val
	)

inline

References d_param_init.

Referenced by MultiPeakFitTool::selectPeak().

void Fit::setInitialGuesses ( double * x_init )

References d_p, and d_param_init.

Referenced by FitDialog::accept(), ExpDecayDialog::fit(), and FitDialog::fitBuiltInFunction().

bool Fit::setYErrorSource	(	ErrorSource	err,
		const QString &	colName = `QString::null`,
		bool	fail_silently = `false`
	)

Sets the data set to be used as source of Y errors.

References AssociatedErrors, Table::cell(), Table::colIndex(), CustomErrors, Filter::d_curve, Filter::d_n, Filter::d_y, d_y_error_dataset, d_y_error_source, d_y_errors, Filter::error(), DataCurve::errorBarsList(), QwtErrorPlotCurve::errorValue(), Graph::Function, Table::numRows(), PoissonErrors, UnknownErrors, and QwtErrorPlotCurve::xErrors().

Referenced by FitDialog::accept(), and setDataCurve().

void Fit::storeCustomFitResults ( double * par )

privatevirtual

Customs and stores the fit results according to the derived class specifications. Used by exponential fits.

Reimplemented in ThreeExpFit, TwoExpFit, MultiPeakFit, and ExponentialFit.

References d_p, and d_results.

Referenced by fit().

Member Data Documentation

double Fit::chi_2

protected

The sum of squares of the residuals from the best-fit line.

Referenced by chiSquare(), errors(), PolynomialFit::fit(), Fit(), LinearFit::fit(), fitGslMultifit(), fitGslMultimin(), legendInfo(), logFitInfo(), and rSquare().

gsl_matrix* Fit::covar

protected

fit_function_df Fit::d_df

protected

Referenced by fitGslMultifit(), fitGslMultimin(), SigmoidalFit::init(), ExponentialFit::init(), NonLinearFit::init(), TwoExpFit::init(), ThreeExpFit::init(), GaussAmpFit::init(), PluginFit::load(), and MultiPeakFit::MultiPeakFit().

fit_function Fit::d_f

protected

Referenced by fitGslMultifit(), ExponentialFit::init(), SigmoidalFit::init(), NonLinearFit::init(), TwoExpFit::init(), ThreeExpFit::init(), GaussAmpFit::init(), PluginFit::load(), and MultiPeakFit::MultiPeakFit().

fit_function_fdf Fit::d_fdf

protected

Referenced by fitGslMultifit(), ExponentialFit::init(), SigmoidalFit::init(), NonLinearFit::init(), TwoExpFit::init(), ThreeExpFit::init(), GaussAmpFit::init(), PluginFit::load(), and MultiPeakFit::MultiPeakFit().

QString Fit::d_formula

protected

The fit formula.

Referenced by Fit(), fit(), formula(), ExponentialFit::init(), SigmoidalFit::init(), NonLinearFit::init(), PolynomialFit::init(), TwoExpFit::init(), LinearFit::init(), ThreeExpFit::init(), GaussAmpFit::init(), insertFitFunctionCurve(), legendInfo(), PluginFit::load(), logFitInfo(), NonLinearFit::setFormula(), and MultiPeakFit::setNumPeaks().

fit_function_simplex Fit::d_fsimplex

protected

Referenced by fitGslMultimin(), ExponentialFit::init(), SigmoidalFit::init(), NonLinearFit::init(), TwoExpFit::init(), ThreeExpFit::init(), GaussAmpFit::init(), PluginFit::load(), and MultiPeakFit::MultiPeakFit().

bool Fit::d_gen_function

protected

Specifies weather the result curve is a FunctionCurve or a normal curve with the same x values as the fit data.

Referenced by SigmoidalFit::calculateFitCurveData(), NonLinearFit::calculateFitCurveData(), ExponentialFit::calculateFitCurveData(), PluginFit::calculateFitCurveData(), PolynomialFit::calculateFitCurveData(), TwoExpFit::calculateFitCurveData(), LinearFit::calculateFitCurveData(), ThreeExpFit::calculateFitCurveData(), GaussAmpFit::calculateFitCurveData(), Fit(), MultiPeakFit::generateFitCurve(), generateFitCurve(), and generateFunction().

int Fit::d_p

protected

Number of fit parameters.

Referenced by NonLinearFit::calculateFitCurveData(), PolynomialFit::calculateFitCurveData(), covarianceMatrix(), errors(), evaluate_d(), evaluate_df(), evaluate_f(), PolynomialFit::fit(), Fit(), fit(), LinearFit::fit(), fitGslMultifit(), fitGslMultimin(), MultiPeakFit::generateFitCurve(), SigmoidalFit::init(), ExponentialFit::init(), PolynomialFit::init(), TwoExpFit::init(), LinearFit::init(), ThreeExpFit::init(), GaussAmpFit::init(), insertFitFunctionCurve(), MultiPeakFit::insertPeakFunctionCurve(), PolynomialFit::legendInfo(), legendInfo(), PluginFit::load(), logFitInfo(), numParameters(), parametersTable(), setInitialGuesses(), MultiPeakFit::setNumPeaks(), NonLinearFit::setParametersList(), ExponentialFit::storeCustomFitResults(), MultiPeakFit::storeCustomFitResults(), TwoExpFit::storeCustomFitResults(), ThreeExpFit::storeCustomFitResults(), storeCustomFitResults(), and ~Fit().

QStringList Fit::d_param_explain

protected

Stores a list of short explanations for the significance of the fit parameters.

Referenced by GaussFit::GaussFit(), ExponentialFit::init(), SigmoidalFit::init(), PolynomialFit::init(), TwoExpFit::init(), LinearFit::init(), ThreeExpFit::init(), LorentzFit::init(), GaussFit::init(), GaussAmpFit::init(), PluginFit::load(), logFitInfo(), MultiPeakFit::setNumPeaks(), and NonLinearFit::setParametersList().

gsl_vector* Fit::d_param_init

protected

Initial guesses for the fit parameters.

Referenced by fitGslMultifit(), fitGslMultimin(), SigmoidalFit::guessInitialValues(), MultiPeakFit::guessInitialValues(), ExponentialFit::init(), SigmoidalFit::init(), TwoExpFit::init(), ThreeExpFit::init(), GaussAmpFit::init(), PluginFit::load(), MultiPeakFit::MultiPeakFit(), setInitialGuess(), setInitialGuesses(), MultiPeakFit::setNumPeaks(), NonLinearFit::setParametersList(), and ~Fit().

QStringList Fit::d_param_names

protected

Names of the fit parameters.

Referenced by NonLinearFit::calculateFitCurveData(), evaluate_d(), evaluate_df(), evaluate_f(), SigmoidalFit::init(), ExponentialFit::init(), PolynomialFit::init(), TwoExpFit::init(), LinearFit::init(), ThreeExpFit::init(), GaussAmpFit::init(), insertFitFunctionCurve(), MultiPeakFit::insertPeakFunctionCurve(), legendInfo(), PluginFit::load(), logFitInfo(), parametersTable(), MultiPeakFit::setNumPeaks(), and NonLinearFit::setParametersList().

double* Fit::d_result_errors

protected

Stores standard deviations of the result parameters.

Referenced by errors(), Fit(), and ~Fit().

bool Fit::d_scale_errors

protected

Specifies wheather the errors must be scaled with sqrt(chi_2/dof)

Referenced by errors(), Fit(), legendInfo(), logFitInfo(), and scaleErrors().

Script* Fit::d_script

protected

Script used to evaluate user-defined functions.

Referenced by NonLinearFit::calculateFitCurveData(), evaluate_d(), evaluate_df(), evaluate_f(), and fit().

Algorithm Fit::d_solver

protected

Algorithm type.

Referenced by Fit(), fit(), fitGslMultifit(), logFitInfo(), and setAlgorithm().

QString Fit::d_y_error_dataset

protected

The name of the dataset containing Y standard errors (if applicable).

Referenced by Fit(), logFitInfo(), and setYErrorSource().

ErrorSource Fit::d_y_error_source

protected

Where standard errors of the input data are taken from.

Referenced by PolynomialFit::fit(), Fit(), LinearFit::fit(), fitGslMultifit(), fitGslMultimin(), logFitInfo(), rSquare(), and setYErrorSource().

double* Fit::d_y_errors

protected

Standard deviations of Y input data.

Referenced by evaluate_d(), evaluate_df(), evaluate_f(), PolynomialFit::fit(), LinearFit::fit(), fitGslMultifit(), fitGslMultimin(), rSquare(), setDataCurve(), and setYErrorSource().

bool Fit::is_non_linear

protected

Tells whether the fitter uses non-linear/simplex fitting with an initial parameters set, that must be freed in the destructor.

Referenced by Fit(), PolynomialFit::init(), LinearFit::init(), logFitInfo(), and ~Fit().

The documentation for this class was generated from the following files:

scidavis/src/Fit.h
scidavis/src/Fit.cpp

Public Types

Public Member Functions

Static Public Member Functions

Protected Slots

Protected Member Functions

Protected Attributes

Private Member Functions

Detailed Description

Member Typedef Documentation

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation