#include <MultiPeakFit.h>

Inheritance diagram for LorentzFit:

Public Member Functions
	LorentzFit (ApplicationWindow parent, Graph g)
	LorentzFit (ApplicationWindow parent, Graph g, const QString &curveTitle)
	LorentzFit (ApplicationWindow parent, Graph g, const QString &curveTitle, double start, double end)
Public Member Functions inherited from MultiPeakFit
void	enablePeakCurves (bool on)
	MultiPeakFit (ApplicationWindow parent, Graph g=0, PeakProfile profile=Gauss, int peaks=1)
int	peaks ()
void	setNumPeaks (int n)
void	setPeakCurvesColor (int colorIndex)
Public Member Functions inherited from Fit
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 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 ()

Private Member Functions
void	init ()

Additional Inherited Members
Public Types inherited from MultiPeakFit
enum	PeakProfile { Gauss, Lorentz }
Public Types inherited from Fit
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 )
Static Public Member Functions inherited from MultiPeakFit
static QStringList	generateExplanationList (int order)
static QString	generateFormula (int order, PeakProfile profile)
static QStringList	generateParameterList (int order)
Static Public Member Functions inherited from Fit
static double	evaluate_df_helper (double x, void *param)
Protected Member Functions inherited from MultiPeakFit
void	guessInitialValues ()
	Used by the GaussFit and LorentzFit derived classes to calculate initial values for the parameters.
Protected Member Functions inherited from Fit
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.
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.
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.