class containg the result of the fit and all the related information (fitted parameter values, error, covariance matrix and minimizer result information) Contains a pointer also to the fitted (model) function, modified with the fit parameter values.

When the fit is valid, it is constructed from a Minimizer and a model function pointer

Definition at line 48 of file FitResult.h.

Public Types
typedef ROOT::Math::IParamMultiFunction	IModelFunction

Public Member Functions
	FitResult ()
	Default constructor for an empty (non valid) fit result. More...

	FitResult (const FitConfig &fconfig)
	Constructor from a fit-config for a dummy fit (e.g. More...

	FitResult (const FitResult &rhs)
	Copy constructor. More...

virtual	~FitResult ()
	Destructor. More...

double	Chi2 () const
	Chi2 fit value in case of likelihood must be computed ? More...

bool	Contour (unsigned int ipar, unsigned int jpar, unsigned int &npoints, double pntsx, double pntsy, double confLevel=0.683)
	create contour of two parameters around the minimum pass as option confidence level: default is a value of 0.683 More...

double	Correlation (unsigned int i, unsigned int j) const
	retrieve correlation elements More...

double	CovMatrix (unsigned int i, unsigned int j) const
	retrieve covariance matrix element More...

int	CovMatrixStatus () const
	covariance matrix status code using Minuit convention : =0 not calculated, =1 approximated, =2 made pos def , =3 accurate More...

double	Edm () const
	Expected distance from minimum. More...

double	Error (unsigned int i) const
	parameter error by index More...

const std::vector< double > &	Errors () const
	parameter errors (return st::vector) More...

void	FillResult (const std::shared_ptr< ROOT::Math::Minimizer > &min, const FitConfig &fconfig, const std::shared_ptr< IModelFunction > &f, bool isValid, unsigned int sizeOfData=0, bool binFit=true, const ROOT::Math::IMultiGenFunction *chi2func=0, unsigned int ncalls=0)
	Fill the fit result from a Minimizer instance after fitting Run also Minos if requested from the configuration. More...

const BinData *	FittedBinData () const
	return BinData used in the fit (return a nullptr in case a different fit is done or the data are not available Pointer is managed internally, it must not be deleted More...

const IModelFunction *	FittedFunction () const
	fitting quantities More...

void	GetConfidenceIntervals (const BinData &data, double *ci, double cl=0.95, bool norm=false) const
	evaluate confidence interval for the point specified in the passed data sets the confidence interval are returned in the array ci cl is the desired confidence interval value. More...

std::vector< double >	GetConfidenceIntervals (double cl=0.95, bool norm=false) const
	evaluate confidence interval for the data set used in the last fit the confidence interval are returned as a vector of data points More...

void	GetConfidenceIntervals (unsigned int n, unsigned int stride1, unsigned int stride2, const double x, double ci, double cl=0.95, bool norm=false) const
	get confidence intervals for an array of n points x. More...

template<class Matrix >
void	GetCorrelationMatrix (Matrix &mat) const
	fill a correlation matrix elements using a generic symmetric matrix class implementing operator(i,j) the matrix must be previously allocates with right size (npar * npar) More...

template<class Matrix >
void	GetCovarianceMatrix (Matrix &mat) const
	fill covariance matrix elements using a generic matrix class implementing operator(i,j) the matrix must be previously allocates with right size (npar * npar) More...

const double *	GetErrors () const
	parameter errors (return const pointer) More...

std::string	GetParameterName (unsigned int ipar) const
	get name of parameter (deprecated) More...

const double *	GetParams () const
	parameter values (return const pointer) More...

double	GlobalCC (unsigned int i) const
	parameter global correlation coefficient More...

bool	HasMinosError (unsigned int i) const
	query if parameter i has the Minos error More...

int	Index (const std::string &name) const
	get index for parameter name (return -1 if not found) More...

bool	IsEmpty () const
	True if a fit result does not exist (even invalid) with parameter values. More...

bool	IsParameterBound (unsigned int ipar) const
	query if a parameter is bound More...

bool	IsParameterFixed (unsigned int ipar) const
	query if a parameter is fixed More...

bool	IsValid () const
	True if fit successful, otherwise false. More...

double	LowerError (unsigned int i) const
	lower Minos error. If Minos has not run for parameter i return the parabolic error More...

double	MinFcnValue () const
	Return value of the objective function (chi2 or likelihood) used in the fit. More...

const std::string &	MinimizerType () const
	minimization quantities More...

unsigned int	NCalls () const
	Number of function calls to find minimum. More...

unsigned int	Ndf () const
	Number of degree of freedom. More...

unsigned int	NFreeParameters () const
	get total number of free parameters More...

bool	NormalizedErrors () const
	flag to chek if errors are normalized More...

void	NormalizeErrors ()
	normalize errors using chi2/ndf for chi2 fits More...

unsigned int	NPar () const
	total number of parameters (abbreviation) More...

unsigned int	NTotalParameters () const
	get total number of parameters More...

FitResult &	operator= (const FitResult &rhs)
	Assignment operator. More...

double	Parameter (unsigned int i) const
	parameter value by index More...

bool	ParameterBounds (unsigned int ipar, double &lower, double &upper) const
	retrieve parameter bounds - return false if parameter is not bound More...

const std::vector< double > &	Parameters () const
	parameter values (return std::vector) More...

double	ParError (unsigned int i) const
	parameter error by index More...

std::string	ParName (unsigned int i) const
	name of the parameter More...

void	Print (std::ostream &os, bool covmat=false) const
	print the result and optionaly covariance matrix and correlations More...

void	PrintCovMatrix (std::ostream &os) const
	print error matrix and correlations More...

double	Prob () const
	p value of the fit (chi2 probability) More...

bool	Scan (unsigned int ipar, unsigned int &npoints, double pntsx, double pntsy, double xmin=0, double xmax=0)
	scan likelihood value of parameter and fill the given graph. More...

void	SetMinosError (unsigned int i, double elow, double eup)
	set the Minos errors for parameter i (called by the Fitter class when running Minos) More...

int	Status () const
	minimizer status code More...

bool	Update (const std::shared_ptr< ROOT::Math::Minimizer > &min, const ROOT::Fit::FitConfig &fconfig, bool isValid, unsigned int ncalls=0)
	Update the fit result with a new minimization status To be run only if same fit is performed with same configuration Note that in this case MINOS is not re-run. More...

double	UpperError (unsigned int i) const
	upper Minos error. If Minos has not run for parameter i return the parabolic error More...

double	Value (unsigned int i) const
	parameter value by index More...

Protected Member Functions
std::shared_ptr< IModelFunction >	ModelFunction ()
	Return pointer non const pointer to model (fit) function with fitted parameter values. More...

void	SetModelFunction (const std::shared_ptr< IModelFunction > &func)

Protected Attributes
std::map< unsigned int, unsigned int >	fBoundParams

double	fChi2

std::vector< double >	fCovMatrix

int	fCovStatus

double	fEdm

std::vector< double >	fErrors

std::shared_ptr< FitData >	fFitData
	model function resulting from the fit. More...

std::shared_ptr< IModelFunction >	fFitFunc
	objective function used for fitting More...

std::map< unsigned int, bool >	fFixedParams
	data set used in the fit More...

std::vector< double >	fGlobalCC

std::shared_ptr< ROOT::Math::Minimizer >	fMinimizer

std::string	fMinimType

std::map< unsigned int, std::pair< double, double > >	fMinosErrors

unsigned int	fNCalls

unsigned int	fNdf

unsigned int	fNFree

bool	fNormalized

std::shared_ptr< ROOT::Math::IMultiGenFunction >	fObjFunc
	minimizer object used for fitting More...

std::vector< std::pair< double, double > >	fParamBounds

std::vector< double >	fParams

std::vector< std::string >	fParNames

int	fStatus

double	fVal

bool	fValid

Friends
class	Fitter

#include <Fit/FitResult.h>

Inheritance diagram for ROOT::Fit::FitResult:

[legend]

Member Typedef Documentation

◆ IModelFunction

typedef ROOT::Math::IParamMultiFunction ROOT::Fit::FitResult::IModelFunction

Definition at line 52 of file FitResult.h.

Constructor & Destructor Documentation

◆ FitResult() [1/3]

ROOT::Fit::FitResult::FitResult ( )

Default constructor for an empty (non valid) fit result.

Definition at line 45 of file FitResult.cxx.

◆ FitResult() [2/3]

ROOT::Fit::FitResult::FitResult ( const FitConfig & fconfig )

Constructor from a fit-config for a dummy fit (e.g.

when only one fcn evaluation is done)

Definition at line 52 of file FitResult.cxx.

◆ FitResult() [3/3]

ROOT::Fit::FitResult::FitResult ( const FitResult & rhs )

Copy constructor.

Definition at line 231 of file FitResult.cxx.

◆ ~FitResult()

ROOT::Fit::FitResult::~FitResult ( )

virtual

Destructor.

Definition at line 226 of file FitResult.cxx.

Member Function Documentation

◆ Chi2()

double ROOT::Fit::FitResult::Chi2 ( ) const

inline

Chi2 fit value in case of likelihood must be computed ?

Definition at line 161 of file FitResult.h.

◆ Contour()

bool ROOT::Fit::FitResult::Contour	(	unsigned int	ipar,
		unsigned int	jpar,
		unsigned int &	npoints,
		double *	pntsx,
		double *	pntsy,
		double	confLevel = `0.683`
	)

create contour of two parameters around the minimum pass as option confidence level: default is a value of 0.683

Create a 2D contour around the minimum for the parameter ipar and jpar if a minimum does not exist or is invalid it will return false A array for x and y points should be provided Pass optionally the confidence level, default is 0.683 it is assumed that ErrorDef() defines the right error definition (i.e 1 sigma error for one parameter).

If not the confidence level are scaled to new level

Definition at line 707 of file FitResult.cxx.

◆ Correlation()

double ROOT::Fit::FitResult::Correlation	(	unsigned int	i,
		unsigned int	j
	)		const

inline

retrieve correlation elements

Definition at line 227 of file FitResult.h.

◆ CovMatrix()

double ROOT::Fit::FitResult::CovMatrix	(	unsigned int	i,
		unsigned int	j
	)		const

inline

retrieve covariance matrix element

Definition at line 217 of file FitResult.h.

◆ CovMatrixStatus()

int ROOT::Fit::FitResult::CovMatrixStatus ( ) const

inline

covariance matrix status code using Minuit convention : =0 not calculated, =1 approximated, =2 made pos def , =3 accurate

Definition at line 143 of file FitResult.h.

◆ Edm()

double ROOT::Fit::FitResult::Edm ( ) const

inline

Expected distance from minimum.

Definition at line 127 of file FitResult.h.

◆ Error()

double ROOT::Fit::FitResult::Error ( unsigned int i ) const

inline

parameter error by index

Definition at line 187 of file FitResult.h.

◆ Errors()

const std::vector< double > & ROOT::Fit::FitResult::Errors ( ) const

inline

parameter errors (return st::vector)

Definition at line 170 of file FitResult.h.

◆ FillResult()

void ROOT::Fit::FitResult::FillResult	(	const std::shared_ptr< ROOT::Math::Minimizer > &	min,
		const FitConfig &	fconfig,
		const std::shared_ptr< IModelFunction > &	f,
		bool	isValid,
		unsigned int	sizeOfData = `0`,
		bool	binFit = `true`,
		const ROOT::Math::IMultiGenFunction *	chi2func = `0`,
		unsigned int	ncalls = `0`
	)

Fill the fit result from a Minimizer instance after fitting Run also Minos if requested from the configuration.

Definition at line 100 of file FitResult.cxx.

◆ FittedBinData()

const BinData * ROOT::Fit::FitResult::FittedBinData ( ) const

return BinData used in the fit (return a nullptr in case a different fit is done or the data are not available Pointer is managed internally, it must not be deleted

Definition at line 678 of file FitResult.cxx.

◆ FittedFunction()

const IModelFunction * ROOT::Fit::FitResult::FittedFunction ( ) const

inline

fitting quantities

Return pointer to model (fit) function with fitted parameter values. Pointer is managed internally. I must not be deleted

Definition at line 149 of file FitResult.h.

◆ GetConfidenceIntervals() [1/3]

void ROOT::Fit::FitResult::GetConfidenceIntervals	(	const BinData &	data,
		double *	ci,
		double	cl = `0.95`,
		bool	norm = `false`
	)		const

evaluate confidence interval for the point specified in the passed data sets the confidence interval are returned in the array ci cl is the desired confidence interval value.

This method is mantained for backward compatibility and will be deprecated

Definition at line 630 of file FitResult.cxx.

◆ GetConfidenceIntervals() [2/3]

std::vector< double > ROOT::Fit::FitResult::GetConfidenceIntervals	(	double	cl = `0.95`,
		bool	norm = `false`
	)		const

evaluate confidence interval for the data set used in the last fit the confidence interval are returned as a vector of data points

Definition at line 646 of file FitResult.cxx.

◆ GetConfidenceIntervals() [3/3]

void ROOT::Fit::FitResult::GetConfidenceIntervals	(	unsigned int	n,
		unsigned int	stride1,
		unsigned int	stride2,
		const double *	x,
		double *	ci,
		double	cl = `0.95`,
		bool	norm = `false`
	)		const

get confidence intervals for an array of n points x.

stride1 indicates the stride in the coordinate space while stride2 the stride in dimension space. For 1-dim points : stride1=1, stride2=1 for multi-dim points arranged as (x0,x1,...,xN,y0,....yN) stride1=1 stride2=n for multi-dim points arraged as (x0,y0,..,x1,y1,...,xN,yN,..) stride1=ndim, stride2=1

the confidence interval are returned in the array ci cl is the desired confidedence interval value norm is a flag to control if the intervals need to be normalized to the chi2/ndf value The intervals can be corrected optionally using the chi2/ndf value of the fit if a chi2 fit is performed. This has changed since ROOT 6.14, before the interval were corrected by default.

Definition at line 553 of file FitResult.cxx.

◆ GetCorrelationMatrix()

template<class Matrix >

void ROOT::Fit::FitResult::GetCorrelationMatrix ( Matrix & mat ) const

inline

fill a correlation matrix elements using a generic symmetric matrix class implementing operator(i,j) the matrix must be previously allocates with right size (npar * npar)

Definition at line 251 of file FitResult.h.

◆ GetCovarianceMatrix()

template<class Matrix >

void ROOT::Fit::FitResult::GetCovarianceMatrix ( Matrix & mat ) const

inline

fill covariance matrix elements using a generic matrix class implementing operator(i,j) the matrix must be previously allocates with right size (npar * npar)

Definition at line 237 of file FitResult.h.

◆ GetErrors()

const double * ROOT::Fit::FitResult::GetErrors ( ) const

inline

parameter errors (return const pointer)

Definition at line 172 of file FitResult.h.

◆ GetParameterName()

std::string ROOT::Fit::FitResult::GetParameterName ( unsigned int ipar ) const

inline

get name of parameter (deprecated)

Definition at line 329 of file FitResult.h.

◆ GetParams()

const double * ROOT::Fit::FitResult::GetParams ( ) const

inline

parameter values (return const pointer)

Definition at line 177 of file FitResult.h.

◆ GlobalCC()

double ROOT::Fit::FitResult::GlobalCC ( unsigned int i ) const

inline

parameter global correlation coefficient

Definition at line 211 of file FitResult.h.

◆ HasMinosError()

bool ROOT::Fit::FitResult::HasMinosError ( unsigned int i ) const

query if parameter i has the Minos error

Definition at line 375 of file FitResult.cxx.

◆ Index()

int ROOT::Fit::FitResult::Index ( const std::string & name ) const

get index for parameter name (return -1 if not found)

Definition at line 401 of file FitResult.cxx.

◆ IsEmpty()

bool ROOT::Fit::FitResult::IsEmpty ( ) const

inline

True if a fit result does not exist (even invalid) with parameter values.

Definition at line 118 of file FitResult.h.

◆ IsParameterBound()

bool ROOT::Fit::FitResult::IsParameterBound ( unsigned int ipar ) const

query if a parameter is bound

Definition at line 411 of file FitResult.cxx.

◆ IsParameterFixed()

bool ROOT::Fit::FitResult::IsParameterFixed ( unsigned int ipar ) const

query if a parameter is fixed

Definition at line 415 of file FitResult.cxx.

◆ IsValid()

bool ROOT::Fit::FitResult::IsValid ( ) const

inline

True if fit successful, otherwise false.

A fit is considered successful if the minimizer succeded in finding the minimum. It could happen that subsequent operations like error analysis (e.g. Minos) failed. In that case the status can be still true if the original minimization algorithm succeeded in finding the minimum. One can query in that case the minimizer return status using Status(). It is responability to the Minimizer class to tag a found minimum as valid or not and to produce also a status code.

Definition at line 115 of file FitResult.h.

◆ LowerError()

double ROOT::Fit::FitResult::LowerError ( unsigned int i ) const

lower Minos error. If Minos has not run for parameter i return the parabolic error

Definition at line 382 of file FitResult.cxx.

◆ MinFcnValue()

double ROOT::Fit::FitResult::MinFcnValue ( ) const

inline

Return value of the objective function (chi2 or likelihood) used in the fit.

Definition at line 121 of file FitResult.h.

◆ MinimizerType()

const std::string & ROOT::Fit::FitResult::MinimizerType ( ) const

inline

minimization quantities

minimizer type

Definition at line 103 of file FitResult.h.

◆ ModelFunction()

std::shared_ptr< IModelFunction > ROOT::Fit::FitResult::ModelFunction ( )

inlineprotected

Return pointer non const pointer to model (fit) function with fitted parameter values.

used by Fitter class

Definition at line 339 of file FitResult.h.

◆ NCalls()

unsigned int ROOT::Fit::FitResult::NCalls ( ) const

inline

Number of function calls to find minimum.

Definition at line 124 of file FitResult.h.

◆ Ndf()

unsigned int ROOT::Fit::FitResult::Ndf ( ) const

inline

Number of degree of freedom.

Definition at line 164 of file FitResult.h.

◆ NFreeParameters()

unsigned int ROOT::Fit::FitResult::NFreeParameters ( ) const

inline

get total number of free parameters

Definition at line 135 of file FitResult.h.

◆ NormalizedErrors()

bool ROOT::Fit::FitResult::NormalizedErrors ( ) const

inline

flag to chek if errors are normalized

Definition at line 310 of file FitResult.h.

◆ NormalizeErrors()

void ROOT::Fit::FitResult::NormalizeErrors ( )

normalize errors using chi2/ndf for chi2 fits

Definition at line 356 of file FitResult.cxx.

◆ NPar()

unsigned int ROOT::Fit::FitResult::NPar ( ) const

inline

total number of parameters (abbreviation)

Definition at line 132 of file FitResult.h.

◆ NTotalParameters()

unsigned int ROOT::Fit::FitResult::NTotalParameters ( ) const

inline

get total number of parameters

Definition at line 130 of file FitResult.h.

◆ operator=()

FitResult & ROOT::Fit::FitResult::operator= ( const FitResult & rhs )

Assignment operator.

Definition at line 238 of file FitResult.cxx.

◆ Parameter()

double ROOT::Fit::FitResult::Parameter ( unsigned int i ) const

inline

parameter value by index

Definition at line 182 of file FitResult.h.

◆ ParameterBounds()

bool ROOT::Fit::FitResult::ParameterBounds	(	unsigned int	ipar,
		double &	lower,
		double &	upper
	)		const

retrieve parameter bounds - return false if parameter is not bound

Definition at line 419 of file FitResult.cxx.

◆ Parameters()

const std::vector< double > & ROOT::Fit::FitResult::Parameters ( ) const

inline

parameter values (return std::vector)

Definition at line 175 of file FitResult.h.

◆ ParError()

double ROOT::Fit::FitResult::ParError ( unsigned int i ) const

inline

parameter error by index

Definition at line 191 of file FitResult.h.

◆ ParName()

std::string ROOT::Fit::FitResult::ParName ( unsigned int i ) const

name of the parameter

Definition at line 432 of file FitResult.cxx.

◆ Print()

void ROOT::Fit::FitResult::Print	(	std::ostream &	os,
		bool	covmat = `false`
	)		const

print the result and optionaly covariance matrix and correlations

Definition at line 439 of file FitResult.cxx.

◆ PrintCovMatrix()

void ROOT::Fit::FitResult::PrintCovMatrix ( std::ostream & os ) const

print error matrix and correlations

Definition at line 494 of file FitResult.cxx.

◆ Prob()

double ROOT::Fit::FitResult::Prob ( ) const

p value of the fit (chi2 probability)

Definition at line 370 of file FitResult.cxx.

◆ Scan()

bool ROOT::Fit::FitResult::Scan	(	unsigned int	ipar,
		unsigned int &	npoints,
		double *	pntsx,
		double *	pntsy,
		double	xmin = `0`,
		double	xmax = `0`
	)

scan likelihood value of parameter and fill the given graph.

Scan parameter ipar between value of xmin and xmax A array for x and y points should be provided.

Definition at line 686 of file FitResult.cxx.

◆ SetMinosError()

void ROOT::Fit::FitResult::SetMinosError	(	unsigned int	i,
		double	elow,
		double	eup
	)

set the Minos errors for parameter i (called by the Fitter class when running Minos)

Definition at line 396 of file FitResult.cxx.

◆ SetModelFunction()

void ROOT::Fit::FitResult::SetModelFunction ( const std::shared_ptr< IModelFunction > & func )

inlineprotected

Definition at line 340 of file FitResult.h.

◆ Status()

int ROOT::Fit::FitResult::Status ( ) const

inline

minimizer status code

Definition at line 138 of file FitResult.h.

◆ Update()

bool ROOT::Fit::FitResult::Update	(	const std::shared_ptr< ROOT::Math::Minimizer > &	min,
		const ROOT::Fit::FitConfig &	fconfig,
		bool	isValid,
		unsigned int	ncalls = `0`
	)

Update the fit result with a new minimization status To be run only if same fit is performed with same configuration Note that in this case MINOS is not re-run.

If one wants to run also MINOS a new result must be created

Definition at line 281 of file FitResult.cxx.

◆ UpperError()

double ROOT::Fit::FitResult::UpperError ( unsigned int i ) const

upper Minos error. If Minos has not run for parameter i return the parabolic error

Definition at line 389 of file FitResult.cxx.

◆ Value()

double ROOT::Fit::FitResult::Value ( unsigned int i ) const

inline

parameter value by index

Definition at line 180 of file FitResult.h.

Friends And Related Function Documentation

◆ Fitter

friend class Fitter

friend

Definition at line 342 of file FitResult.h.

Member Data Documentation

◆ fBoundParams

std::map<unsigned int, unsigned int> ROOT::Fit::FitResult::fBoundParams

protected

Definition at line 360 of file FitResult.h.

◆ fChi2

double ROOT::Fit::FitResult::fChi2

protected

Definition at line 354 of file FitResult.h.

◆ fCovMatrix

std::vector<double> ROOT::Fit::FitResult::fCovMatrix

protected

Definition at line 364 of file FitResult.h.

◆ fCovStatus

int ROOT::Fit::FitResult::fCovStatus

protected

Definition at line 351 of file FitResult.h.

◆ fEdm

double ROOT::Fit::FitResult::fEdm

protected

Definition at line 353 of file FitResult.h.

◆ fErrors

std::vector<double> ROOT::Fit::FitResult::fErrors

protected

Definition at line 363 of file FitResult.h.

◆ fFitData

std::shared_ptr<FitData> ROOT::Fit::FitResult::fFitData

protected

model function resulting from the fit.

Definition at line 358 of file FitResult.h.

◆ fFitFunc

std::shared_ptr<IModelFunction> ROOT::Fit::FitResult::fFitFunc

protected

objective function used for fitting

Definition at line 357 of file FitResult.h.

◆ fFixedParams

std::map<unsigned int, bool> ROOT::Fit::FitResult::fFixedParams

protected

data set used in the fit

Definition at line 359 of file FitResult.h.

◆ fGlobalCC

std::vector<double> ROOT::Fit::FitResult::fGlobalCC

protected

Definition at line 365 of file FitResult.h.

◆ fMinimizer

std::shared_ptr<ROOT::Math::Minimizer> ROOT::Fit::FitResult::fMinimizer

protected

Definition at line 355 of file FitResult.h.

◆ fMinimType

std::string ROOT::Fit::FitResult::fMinimType

protected

Definition at line 367 of file FitResult.h.

◆ fMinosErrors

std::map<unsigned int, std::pair<double,double> > ROOT::Fit::FitResult::fMinosErrors

protected

Definition at line 366 of file FitResult.h.

◆ fNCalls

unsigned int ROOT::Fit::FitResult::fNCalls

protected

Definition at line 349 of file FitResult.h.

◆ fNdf

unsigned int ROOT::Fit::FitResult::fNdf

protected

Definition at line 348 of file FitResult.h.

◆ fNFree

unsigned int ROOT::Fit::FitResult::fNFree

protected

Definition at line 347 of file FitResult.h.

◆ fNormalized

bool ROOT::Fit::FitResult::fNormalized

protected

Definition at line 346 of file FitResult.h.

◆ fObjFunc

std::shared_ptr<ROOT::Math::IMultiGenFunction> ROOT::Fit::FitResult::fObjFunc

protected

minimizer object used for fitting

Definition at line 356 of file FitResult.h.

◆ fParamBounds

std::vector<std::pair<double,double> > ROOT::Fit::FitResult::fParamBounds

protected

Definition at line 361 of file FitResult.h.

◆ fParams

std::vector<double> ROOT::Fit::FitResult::fParams

protected

Definition at line 362 of file FitResult.h.

◆ fParNames

std::vector<std::string> ROOT::Fit::FitResult::fParNames

protected

Definition at line 368 of file FitResult.h.

◆ fStatus

int ROOT::Fit::FitResult::fStatus

protected

Definition at line 350 of file FitResult.h.

◆ fVal

double ROOT::Fit::FitResult::fVal

protected

Definition at line 352 of file FitResult.h.

◆ fValid

bool ROOT::Fit::FitResult::fValid

protected

Definition at line 345 of file FitResult.h.

Libraries for ROOT::Fit::FitResult:

[legend]

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Friends

Member Typedef Documentation

◆ IModelFunction

Constructor & Destructor Documentation

◆ FitResult() [1/3]

◆ FitResult() [2/3]

◆ FitResult() [3/3]

◆ ~FitResult()

Member Function Documentation

◆ Chi2()

◆ Contour()

◆ Correlation()

◆ CovMatrix()

◆ CovMatrixStatus()

◆ Edm()

◆ Error()

◆ Errors()

◆ FillResult()

◆ FittedBinData()

◆ FittedFunction()

◆ GetConfidenceIntervals() [1/3]

◆ GetConfidenceIntervals() [2/3]

◆ GetConfidenceIntervals() [3/3]

◆ GetCorrelationMatrix()

◆ GetCovarianceMatrix()

◆ GetErrors()

◆ GetParameterName()

◆ GetParams()

◆ GlobalCC()

◆ HasMinosError()

◆ Index()

◆ IsEmpty()

◆ IsParameterBound()

◆ IsParameterFixed()

◆ IsValid()

◆ LowerError()

◆ MinFcnValue()

◆ MinimizerType()

◆ ModelFunction()

◆ NCalls()

◆ Ndf()

◆ NFreeParameters()

◆ NormalizedErrors()

◆ NormalizeErrors()

◆ NPar()

◆ NTotalParameters()

◆ operator=()

◆ Parameter()

◆ ParameterBounds()

◆ Parameters()

◆ ParError()

◆ ParName()

◆ Print()

◆ PrintCovMatrix()

◆ Prob()

◆ Scan()

◆ SetMinosError()

◆ SetModelFunction()

◆ Status()

◆ Update()

◆ UpperError()

◆ Value()

Friends And Related Function Documentation

◆ Fitter

Member Data Documentation

◆ fBoundParams

◆ fChi2

◆ fCovMatrix

◆ fCovStatus

◆ fEdm

◆ fErrors

◆ fFitData

◆ fFitFunc

◆ fFixedParams

◆ fGlobalCC

◆ fMinimizer