Definition at line 30 of file TFitter.h.

Public Member Functions
	TFitter (Int_t maxpar=25)

virtual	~TFitter ()
	----------default destructor-------------* - ================== More...

virtual Double_t	Chisquare (Int_t npar, Double_t *params) const
	return a chisquare equivalent More...

virtual void	Clear (Option_t *option="")
	reset the fitter environment More...

virtual Int_t	ExecuteCommand (const char command, Double_t args, Int_t nargs)
	Execute a fitter command; command : command string args : list of nargs command arguments. More...

virtual void	FitChisquare (Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)
	Minimization function for H1s using a Chisquare method Default method (function evaluated at center of bin) for each point the cache contains the following info -1D : bc,e, xc (bin content, error, x of center of bin) -2D : bc,e, xc,yc -3D : bc,e, xc,yc,zc. More...

virtual void	FitChisquareI (Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)
	Minimization function for H1s using a Chisquare method The "I"ntegral method is used for each point the cache contains the following info -1D : bc,e, xc,xw (bin content, error, x of center of bin, x bin width of bin) -2D : bc,e, xc,xw,yc,yw -3D : bc,e, xc,xw,yc,yw,zc,zw. More...

virtual void	FitLikelihood (Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)
	Minimization function for H1s using a Likelihood method----- Basically, it forms the likelihood by determining the Poisson probability that given a number of entries in a particular bin, the fit would predict it's value. More...

virtual void	FitLikelihoodI (Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)
	Minimization function for H1s using a Likelihood method----- Basically, it forms the likelihood by determining the Poisson probability that given a number of entries in a particular bin, the fit would predict it's value. More...

virtual void	FixParameter (Int_t ipar)
	Fix parameter ipar. More...

virtual void	GetConfidenceIntervals (Int_t n, Int_t ndim, const Double_t x, Double_t ci, Double_t cl=0.95)
	Computes point-by-point confidence intervals for the fitted function Parameters: n - number of points ndim - dimensions of points x - points, at which to compute the intervals, for ndim > 1 should be in order: (x0,y0, x1, y1, ... More...

virtual void	GetConfidenceIntervals (TObject *obj, Double_t cl=0.95)
	Computes confidence intervals at level cl. More...

virtual Double_t *	GetCovarianceMatrix () const
	return a pointer to the covariance matrix More...

virtual Double_t	GetCovarianceMatrixElement (Int_t i, Int_t j) const
	return element i,j from the covariance matrix More...

virtual Int_t	GetErrors (Int_t ipar, Double_t &eplus, Double_t &eminus, Double_t &eparab, Double_t &globcc) const
	return current errors for a parameter ipar : parameter number eplus : upper error eminus : lower error eparab : parabolic error globcc : global correlation coefficient More...

TMinuit *	GetMinuit () const

virtual Int_t	GetNumberTotalParameters () const
	return the total number of parameters (free + fixed) More...

virtual Int_t	GetNumberFreeParameters () const
	return the number of free parameters More...

virtual Double_t	GetParError (Int_t ipar) const
	return error of parameter ipar More...

virtual Double_t	GetParameter (Int_t ipar) const
	return current value of parameter ipar More...

virtual Int_t	GetParameter (Int_t ipar, char *name, Double_t &value, Double_t &verr, Double_t &vlow, Double_t &vhigh) const
	return current values for a parameter ipar : parameter number parname : parameter name value : initial parameter value verr : initial error for this parameter vlow : lower value for the parameter vhigh : upper value for the parameter WARNING! parname must be suitably dimensionned in the calling function. More...

virtual const char *	GetParName (Int_t ipar) const
	return name of parameter ipar More...

virtual Int_t	GetStats (Double_t &amin, Double_t &edm, Double_t &errdef, Int_t &nvpar, Int_t &nparx) const
	return global fit parameters amin : chisquare edm : estimated distance to minimum errdef nvpar : number of variable parameters nparx : total number of parameters More...

virtual Double_t	GetSumLog (Int_t i)
	return Sum(log(i) i=0,n used by log likelihood fits More...

virtual Bool_t	IsFixed (Int_t ipar) const
	return kTRUE if parameter ipar is fixed, kFALSE othersise) More...

virtual void	PrintResults (Int_t level, Double_t amin) const
	Print fit results. More...

virtual void	ReleaseParameter (Int_t ipar)
	Release parameter ipar. More...

virtual void	SetFCN (void *fcn)
	Specify the address of the fitting algorithm (from the interpreter) More...

virtual void	SetFCN (void(fcn)(Int_t &, Double_t , Double_t &f, Double_t *, Int_t))
	Specify the address of the fitting algorithm. More...

virtual void	SetFitMethod (const char *name)
	ret fit method (chisquare or loglikelihood) More...

virtual Int_t	SetParameter (Int_t ipar, const char *parname, Double_t value, Double_t verr, Double_t vlow, Double_t vhigh)
	set initial values for a parameter ipar : parameter number parname : parameter name value : initial parameter value verr : initial error for this parameter vlow : lower value for the parameter vhigh : upper value for the parameter More...

Public Member Functions inherited from TVirtualFitter
	TVirtualFitter ()

virtual	~TVirtualFitter ()
	Cleanup virtual fitter. More...

virtual FCNFunc_t	GetFCN ()

virtual Foption_t	GetFitOption () const

TMethodCall *	GetMethodCall () const

virtual TObject *	GetObjectFit () const

virtual TObject *	GetUserFunc () const

virtual Int_t	GetXfirst () const

virtual Int_t	GetXlast () const

virtual Int_t	GetYfirst () const

virtual Int_t	GetYlast () const

virtual Int_t	GetZfirst () const

virtual Int_t	GetZlast () const

virtual Double_t *	SetCache (Int_t npoints, Int_t psize)
	Initialize the cache array npoints is the number of points to be stored (or already stored) in the cache psize is the number of elements per point. More...

virtual void	SetFitOption (Foption_t option)

virtual void	SetObjectFit (TObject *obj)

virtual void	SetUserFunc (TObject *userfunc)

virtual void	SetXfirst (Int_t first)

virtual void	SetXlast (Int_t last)

virtual void	SetYfirst (Int_t first)

virtual void	SetYlast (Int_t last)

virtual void	SetZfirst (Int_t first)

virtual void	SetZlast (Int_t last)

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TString &name, const TString &title)

	TNamed (const TNamed &named)

TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator. More...

virtual	~TNamed ()

virtual TObject *	Clone (const char *newname="") const
	Make a clone of an object using the Streamer facility. More...

virtual Int_t	Compare (const TObject *obj) const
	Compare two TNamed objects. More...

virtual void	Copy (TObject &named) const
	Copy this to obj. More...

virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer. More...

virtual const char *	GetName () const
	Returns name of object. More...

virtual const char *	GetTitle () const
	Returns title of object. More...

virtual ULong_t	Hash () const
	Return hash value for this object. More...

virtual Bool_t	IsSortable () const

virtual void	SetName (const char *name)
	Change (i.e. More...

virtual void	SetNameTitle (const char name, const char title)
	Change (i.e. set) all the TNamed parameters (name and title). More...

virtual void	SetTitle (const char *title="")
	Change (i.e. set) the title of the TNamed. More...

virtual void	ls (Option_t *option="") const
	List TNamed name and title. More...

virtual void	Print (Option_t *option="") const
	Print TNamed name and title. More...

virtual Int_t	Sizeof () const
	Return size of the TNamed part of the TObject. More...

Public Member Functions inherited from TObject
	TObject ()

	TObject (const TObject &object)
	TObject copy ctor. More...

TObject &	operator= (const TObject &rhs)
	TObject assignment operator. More...

virtual	~TObject ()
	TObject destructor. More...

virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad. More...

virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action. More...

virtual const char *	ClassName () const
	Returns name of class to which the object belongs. More...

virtual void	Delete (Option_t *option="")
	Delete this object. More...

virtual Int_t	DistancetoPrimitive (Int_t px, Int_t py)
	Computes distance from point (px,py) to the object. More...

virtual void	Draw (Option_t *option="")
	Default Draw method for all objects. More...

virtual void	DrawClass () const
	Draw class inheritance tree of the class to which this object belongs. More...

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current pad. More...

virtual void	Dump () const
	Dump contents of object on stdout. More...

virtual void	Execute (const char method, const char params, Int_t *error=0)
	Execute method on this object with the given parameter string, e.g. More...

virtual void	Execute (TMethod method, TObjArray params, Int_t *error=0)
	Execute method on this object with parameters stored in the TObjArray. More...

virtual void	ExecuteEvent (Int_t event, Int_t px, Int_t py)
	Execute action corresponding to an event at (px,py). More...

virtual TObject *	FindObject (const char *name) const
	Must be redefined in derived classes. More...

virtual TObject *	FindObject (const TObject *obj) const
	Must be redefined in derived classes. More...

virtual Option_t *	GetDrawOption () const
	Get option used by the graphics system to draw this object. More...

virtual UInt_t	GetUniqueID () const
	Return the unique object id. More...

virtual const char *	GetIconName () const
	Returns mime type name of object. More...

virtual Option_t *	GetOption () const

virtual char *	GetObjectInfo (Int_t px, Int_t py) const
	Returns string containing info about the object at position (px,py). More...

virtual Bool_t	HandleTimer (TTimer *timer)
	Execute action in response of a timer timing out. More...

virtual Bool_t	InheritsFrom (const char *classname) const
	Returns kTRUE if object inherits from class "classname". More...

virtual Bool_t	InheritsFrom (const TClass *cl) const
	Returns kTRUE if object inherits from TClass cl. More...

virtual void	Inspect () const
	Dump contents of this object in a graphics canvas. More...

virtual Bool_t	IsFolder () const
	Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...

virtual Bool_t	IsEqual (const TObject *obj) const
	Default equal comparison (objects are equal if they have the same address in memory). More...

Bool_t	IsOnHeap () const

Bool_t	IsZombie () const

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification. More...

virtual void	Paint (Option_t *option="")
	This method must be overridden if a class wants to paint itself. More...

virtual void	Pop ()
	Pop on object drawn in a pad to the top of the display list. More...

virtual Int_t	Read (const char *name)
	Read contents of object with specified name from the current directory. More...

virtual void	RecursiveRemove (TObject *obj)
	Recursively remove this object from a list. More...

virtual void	SaveAs (const char filename="", Option_t option="") const
	Save this object in the file specified by filename. More...

virtual void	SavePrimitive (std::ostream &out, Option_t *option="")
	Save a primitive as a C++ statement(s) on output stream "out". More...

virtual void	SetDrawOption (Option_t *option="")
	Set drawing option for object. More...

virtual void	SetUniqueID (UInt_t uid)
	Set the unique object id. More...

virtual void	UseCurrentStyle ()
	Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
	Write this object to the current directory. More...

void *	operator new (size_t sz)

void *	operator new[] (size_t sz)

void *	operator new (size_t sz, void *vp)

void *	operator new[] (size_t sz, void *vp)

void	operator delete (void *ptr)
	Operator delete. More...

void	operator delete[] (void *ptr)
	Operator delete []. More...

void	SetBit (UInt_t f, Bool_t set)
	Set or unset the user status bits as specified in f. More...

void	SetBit (UInt_t f)

void	ResetBit (UInt_t f)

Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

void	InvertBit (UInt_t f)

virtual void	Info (const char method, const char msgfmt,...) const
	Issue info message. More...

virtual void	Warning (const char method, const char msgfmt,...) const
	Issue warning message. More...

virtual void	Error (const char method, const char msgfmt,...) const
	Issue error message. More...

virtual void	SysError (const char method, const char msgfmt,...) const
	Issue system error message. More...

virtual void	Fatal (const char method, const char msgfmt,...) const
	Issue fatal error message. More...

void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract. More...

void	MayNotUse (const char *method) const
	Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More...

void	Obsolete (const char method, const char asOfVers, const char *removedFromVers) const
	Use this method to declare a method obsolete. More...

Private Member Functions
	TFitter (const TFitter &)

TFitter &	operator= (const TFitter &)

Private Attributes
Int_t	fNlog

Double_t *	fCovar

Double_t *	fSumLog

TMinuit *	fMinuit

Additional Inherited Members
Public Types inherited from TVirtualFitter
typedef void(*	FCNFunc_t )(Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)

Public Types inherited from TObject
enum	EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) }

enum	{ kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff }

enum	{ kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) }

Static Public Member Functions inherited from TVirtualFitter
static TVirtualFitter *	GetFitter ()
	static: return the current Fitter More...

static TVirtualFitter *	Fitter (TObject *obj, Int_t maxpar=25)
	Static function returning a pointer to the current fitter. More...

static const char *	GetDefaultFitter ()
	static: return the name of the default fitter More...

static Int_t	GetMaxIterations ()
	static: Return the maximum number of iterations actually max number of function calls More...

static Double_t	GetErrorDef ()
	static: Return the Error Definition More...

static Double_t	GetPrecision ()
	static: Return the fit relative precision More...

static void	SetDefaultFitter (const char *name="")
	static: set name of default fitter More...

static void	SetFitter (TVirtualFitter *fitter, Int_t maxpar=25)
	Static function to set an alternative fitter. More...

static void	SetMaxIterations (Int_t niter=5000)
	static: Set the maximum number of function calls for the minimization algorithm For example for MIGRAD this is the maxcalls value passed as first argument (see http://wwwasdoc.web.cern.ch/wwwasdoc/minuit/node18.html ) More...

static void	SetErrorDef (Double_t errdef=1)
	static: Set the Error Definition (default=1) For Minuit this is the value passed with the "SET ERR" command (see http://wwwasdoc.web.cern.ch/wwwasdoc/minuit/node18.html) More...

static void	SetPrecision (Double_t prec=1e-6)
	static: Set the tolerance used in the minimization algorithm For example for MIGRAD this is tolerance value passed as second argument (see http://wwwasdoc.web.cern.ch/wwwasdoc/minuit/node18.html ) More...

Static Public Member Functions inherited from TObject
static Long_t	GetDtorOnly ()
	Return destructor only flag. More...

static void	SetDtorOnly (void *obj)
	Set destructor only flag. More...

static Bool_t	GetObjectStat ()
	Get status of object stat flag. More...

static void	SetObjectStat (Bool_t stat)
	Turn on/off tracking of objects in the TObjectTable. More...

Protected Member Functions inherited from TVirtualFitter
	TVirtualFitter (const TVirtualFitter &tvf)
	copy constructor More...

TVirtualFitter &	operator= (const TVirtualFitter &tvf)
	assignment operator More...

Protected Member Functions inherited from TObject
void	MakeZombie ()

virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected). More...

Protected Attributes inherited from TVirtualFitter
Foption_t	fOption

Int_t	fXfirst

Int_t	fXlast

Int_t	fYfirst

Int_t	fYlast

Int_t	fZfirst

Int_t	fZlast

Int_t	fNpoints

Int_t	fPointSize

Int_t	fCacheSize

Double_t *	fCache

TObject *	fObjectFit

TObject *	fUserFunc

TMethodCall *	fMethodCall

void(*	fFCN )(Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

#include <TFitter.h>

Inheritance diagram for TFitter:

[legend]

Constructor & Destructor Documentation

TFitter::TFitter ( const TFitter & )

private

TFitter::TFitter ( Int_t maxpar = 25 )

TFitter::~TFitter ( )

virtual

*-*-*-*-*-*-*-*-*-*-*default destructor*-*-*-*-*-*-*-*-*-*-*-*-*-* *-* ==================

Definition at line 50 of file TFitter.cxx.

Member Function Documentation

Double_t TFitter::Chisquare	(	Int_t	npar,
		Double_t *	params
	)		const

virtual

return a chisquare equivalent

Implements TVirtualFitter.

Definition at line 60 of file TFitter.cxx.

void TFitter::Clear ( Option_t * option = "" )

virtual

reset the fitter environment

Implements TVirtualFitter.

Definition at line 70 of file TFitter.cxx.

Int_t TFitter::ExecuteCommand	(	const char *	command,
		Double_t *	args,
		Int_t	nargs
	)

virtual

Execute a fitter command; command : command string args : list of nargs command arguments.

Implements TVirtualFitter.

Definition at line 86 of file TFitter.cxx.

void TFitter::FitChisquare	(	Int_t &	npar,
		Double_t *	gin,
		Double_t &	f,
		Double_t *	u,
		Int_t	flag
	)

virtual

Minimization function for H1s using a Chisquare method Default method (function evaluated at center of bin) for each point the cache contains the following info -1D : bc,e, xc (bin content, error, x of center of bin) -2D : bc,e, xc,yc -3D : bc,e, xc,yc,zc.

Definition at line 603 of file TFitter.cxx.

Referenced by H1FitChisquare().

void TFitter::FitChisquareI	(	Int_t &	npar,
		Double_t *	gin,
		Double_t &	f,
		Double_t *	u,
		Int_t	flag
	)

virtual

Minimization function for H1s using a Chisquare method The "I"ntegral method is used for each point the cache contains the following info -1D : bc,e, xc,xw (bin content, error, x of center of bin, x bin width of bin) -2D : bc,e, xc,xw,yc,yw -3D : bc,e, xc,xw,yc,yw,zc,zw.

Definition at line 656 of file TFitter.cxx.

Referenced by FitChisquare().

void TFitter::FitLikelihood	(	Int_t &	npar,
		Double_t *	gin,
		Double_t &	f,
		Double_t *	u,
		Int_t	flag
	)

virtual

Minimization function for H1s using a Likelihood method*-*-*-*-*-* Basically, it forms the likelihood by determining the Poisson probability that given a number of entries in a particular bin, the fit would predict it's value.

This is then done for each bin, and the sum of the logs is taken as the likelihood. Default method (function evaluated at center of bin) for each point the cache contains the following info -1D : bc,e, xc (bin content, error, x of center of bin) -2D : bc,e, xc,yc -3D : bc,e, xc,yc,zc

Definition at line 713 of file TFitter.cxx.

Referenced by H1FitLikelihood().

void TFitter::FitLikelihoodI	(	Int_t &	npar,
		Double_t *	gin,
		Double_t &	f,
		Double_t *	u,
		Int_t	flag
	)

virtual

Minimization function for H1s using a Likelihood method*-*-*-*-*-* Basically, it forms the likelihood by determining the Poisson probability that given a number of entries in a particular bin, the fit would predict it's value.

This is then done for each bin, and the sum of the logs is taken as the likelihood. The "I"ntegral method is used for each point the cache contains the following info -1D : bc,e, xc,xw (bin content, error, x of center of bin, x bin width of bin) -2D : bc,e, xc,xw,yc,yw -3D : bc,e, xc,xw,yc,yw,zc,zw

Definition at line 783 of file TFitter.cxx.

Referenced by FitLikelihood().

void TFitter::FixParameter ( Int_t ipar )

virtual

Fix parameter ipar.

Implements TVirtualFitter.

Definition at line 97 of file TFitter.cxx.

void TFitter::GetConfidenceIntervals	(	Int_t	n,
		Int_t	ndim,
		const Double_t *	x,
		Double_t *	ci,
		Double_t	cl = `0.95`
	)

virtual

Computes point-by-point confidence intervals for the fitted function Parameters: n - number of points ndim - dimensions of points x - points, at which to compute the intervals, for ndim > 1 should be in order: (x0,y0, x1, y1, ...

xn, yn) ci - computed intervals are returned in this array cl - confidence level, default=0.95 NOTE, that the intervals are approximate for nonlinear(in parameters) models

Reimplemented from TVirtualFitter.

Definition at line 114 of file TFitter.cxx.

Referenced by GetConfidenceIntervals().

void TFitter::GetConfidenceIntervals	(	TObject *	obj,
		Double_t	cl = `0.95`
	)

virtual

Computes confidence intervals at level cl.

Default is 0.95 The TObject parameter can be a TGraphErrors, a TGraph2DErrors or a TH1,2,3. For Graphs, confidence intervals are computed for each point, the value of the graph at that point is set to the function value at that point, and the graph y-errors (or z-errors) are set to the value of the confidence interval at that point. For Histograms, confidence intervals are computed for each bin center The bin content of this bin is then set to the function value at the bin center, and the bin error is set to the confidence interval value. NOTE: confidence intervals are approximate for nonlinear models!

Allowed combinations: Fitted object Passed object TGraph TGraphErrors, TH1 TGraphErrors, AsymmErrors TGraphErrors, TH1 TH1 TGraphErrors, TH1 TGraph2D TGraph2DErrors, TH2 TGraph2DErrors TGraph2DErrors, TH2 TH2 TGraph2DErrors, TH2 TH3 TH3

Reimplemented from TVirtualFitter.

Definition at line 216 of file TFitter.cxx.

Double_t * TFitter::GetCovarianceMatrix ( ) const

virtual

return a pointer to the covariance matrix

Implements TVirtualFitter.

Definition at line 366 of file TFitter.cxx.

Referenced by GetConfidenceIntervals(), and GetCovarianceMatrixElement().

Double_t TFitter::GetCovarianceMatrixElement	(	Int_t	i,
		Int_t	j
	)		const

virtual

return element i,j from the covariance matrix

Implements TVirtualFitter.

Definition at line 378 of file TFitter.cxx.

Int_t TFitter::GetErrors	(	Int_t	ipar,
		Double_t &	eplus,
		Double_t &	eminus,
		Double_t &	eparab,
		Double_t &	globcc
	)		const

virtual

return current errors for a parameter ipar : parameter number eplus : upper error eminus : lower error eparab : parabolic error globcc : global correlation coefficient

Implements TVirtualFitter.

Definition at line 397 of file TFitter.cxx.

TMinuit* TFitter::GetMinuit ( ) const

inline

Definition at line 57 of file TFitter.h.

Int_t TFitter::GetNumberFreeParameters ( ) const

virtual

return the number of free parameters

Implements TVirtualFitter.

Definition at line 417 of file TFitter.cxx.

Int_t TFitter::GetNumberTotalParameters ( ) const

virtual

return the total number of parameters (free + fixed)

Implements TVirtualFitter.

Definition at line 409 of file TFitter.cxx.

Double_t TFitter::GetParameter ( Int_t ipar ) const

virtual

return current value of parameter ipar

Implements TVirtualFitter.

Definition at line 440 of file TFitter.cxx.

Int_t TFitter::GetParameter	(	Int_t	ipar,
		char *	parname,
		Double_t &	value,
		Double_t &	verr,
		Double_t &	vlow,
		Double_t &	vhigh
	)		const

virtual

return current values for a parameter ipar : parameter number parname : parameter name value : initial parameter value verr : initial error for this parameter vlow : lower value for the parameter vhigh : upper value for the parameter WARNING! parname must be suitably dimensionned in the calling function.

Implements TVirtualFitter.

Definition at line 460 of file TFitter.cxx.

Double_t TFitter::GetParError ( Int_t ipar ) const

virtual

return error of parameter ipar

Implements TVirtualFitter.

Definition at line 426 of file TFitter.cxx.

const char * TFitter::GetParName ( Int_t ipar ) const

virtual

return name of parameter ipar

Implements TVirtualFitter.

Definition at line 472 of file TFitter.cxx.

Int_t TFitter::GetStats	(	Double_t &	amin,
		Double_t &	edm,
		Double_t &	errdef,
		Int_t &	nvpar,
		Int_t &	nparx
	)		const

virtual

return global fit parameters amin : chisquare edm : estimated distance to minimum errdef nvpar : number of variable parameters nparx : total number of parameters

Implements TVirtualFitter.

Definition at line 486 of file TFitter.cxx.

Double_t TFitter::GetSumLog ( Int_t i )

virtual

return Sum(log(i) i=0,n used by log likelihood fits

Implements TVirtualFitter.

Definition at line 497 of file TFitter.cxx.

Referenced by FitLikelihood(), and FitLikelihoodI().

Bool_t TFitter::IsFixed ( Int_t ipar ) const

virtual

return kTRUE if parameter ipar is fixed, kFALSE othersise)

Implements TVirtualFitter.

Definition at line 518 of file TFitter.cxx.

TFitter& TFitter::operator= ( const TFitter & )

private

void TFitter::PrintResults	(	Int_t	level,
		Double_t	amin
	)		const

virtual

Print fit results.

Implements TVirtualFitter.

Definition at line 528 of file TFitter.cxx.

void TFitter::ReleaseParameter ( Int_t ipar )

virtual

Release parameter ipar.

Implements TVirtualFitter.

Definition at line 536 of file TFitter.cxx.

void TFitter::SetFCN ( void * fcn )

virtual

Specify the address of the fitting algorithm (from the interpreter)

Reimplemented from TVirtualFitter.

Definition at line 545 of file TFitter.cxx.

Referenced by SetFitMethod().

void TFitter::SetFCN ( void(*)(Int_t &, Double_t *, Double_t &f, Double_t *, Int_t) fcn )

virtual

Specify the address of the fitting algorithm.

Reimplemented from TVirtualFitter.

Definition at line 556 of file TFitter.cxx.

void TFitter::SetFitMethod ( const char * name )

virtual

ret fit method (chisquare or loglikelihood)

Implements TVirtualFitter.

Definition at line 566 of file TFitter.cxx.

Int_t TFitter::SetParameter	(	Int_t	ipar,
		const char *	parname,
		Double_t	value,
		Double_t	verr,
		Double_t	vlow,
		Double_t	vhigh
	)

virtual

set initial values for a parameter ipar : parameter number parname : parameter name value : initial parameter value verr : initial error for this parameter vlow : lower value for the parameter vhigh : upper value for the parameter

Implements TVirtualFitter.

Definition at line 587 of file TFitter.cxx.