class containing 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 47 of file FitResult.h.

Public Types
typedef ROOT::Math::IParamMultiFunction	IModelFunction

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

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

virtual	~FitResult ()
	Destructor.

double	Chi2 () const
	Return the Chi2 value after fitting In case of unbinned fits (or not defined one, see the documentation of Fitter::FitFCN) return -1 In case of binned likelihood fits (Poisson Likelihood) return the 2 * negative log-likelihood ratio using the definition of Baker-Cousins.

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

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

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

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

double	Edm () const
	Expected distance from minimum.

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

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

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, int fitType=1, const ROOT::Math::IMultiGenFunction *chi2func=nullptr, unsigned int ncalls=0)
	Fill the fit result from a Minimizer instance after fitting Run also Minos if requested from the configuration.

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

const IModelFunction *	FittedFunction () const
	fitting quantities

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.

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

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.

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)

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)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

bool	NormalizedErrors () const
	flag to check if errors are normalized

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

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

unsigned int	NTotalParameters () const
	get total number of parameters

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

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

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

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

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

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

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

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

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.

void	SetChi2AndNdf (double chi2, unsigned int npoints)
	Set the chi2 and the ndf This function should be called when using an external FCN for fitting and one provides the chi2 and the number of fitting data points) to store and have them printed in the FitResult class.

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

int	Status () const
	minimizer status code

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.

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

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

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

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

Protected Attributes
std::map< unsigned int, unsigned int >	fBoundParams
	list of limited parameters

double	fChi2
	fit chi2 value (different than fval in case of chi2 fits)

std::vector< double >	fCovMatrix
	covariance matrix (size is npar*(npar+1)/2) where npar is total parameters

int	fCovStatus
	covariance matrix status code

double	fEdm
	expected distance from minimum

std::vector< double >	fErrors
	errors

std::shared_ptr< FitData >	fFitData
	! data set used in the fit

std::shared_ptr< IModelFunction >	fFitFunc
	! model function resulting from the fit.

std::map< unsigned int, bool >	fFixedParams
	list of fixed parameters

std::vector< double >	fGlobalCC
	global Correlation coefficient

std::shared_ptr< ROOT::Math::Minimizer >	fMinimizer
	! minimizer object used for fitting

std::string	fMinimType
	string indicating type of minimizer

std::map< unsigned int, std::pair< double, double > >	fMinosErrors
	map contains the two Minos errors

unsigned int	fNCalls
	number of function calls

unsigned int	fNdf
	number of degree of freedom

unsigned int	fNFree
	number of fit free parameters (total parameters are in size of parameter vector)

bool	fNormalized
	flag for indicating is errors are normalized

std::shared_ptr< ROOT::Math::IMultiGenFunction >	fObjFunc
	! objective function used for fitting

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

std::vector< double >	fParams
	parameter values. Size is total number of parameters

std::vector< std::string >	fParNames
	parameter names (only with FCN only fits, when fFitFunc=0)

int	fStatus
	minimizer status code

double	fVal
	minimum function value

bool	fValid
	flag for indicating valid fit

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 51 of file FitResult.h.

Constructor & Destructor Documentation

◆ FitResult() [1/2]

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

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

Definition at line 45 of file FitResult.cxx.

◆ FitResult() [2/2]

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()

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

inlinevirtual

Destructor.

Definition at line 69 of file FitResult.h.

Member Function Documentation

◆ Chi2()

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

inline

Return the Chi2 value after fitting In case of unbinned fits (or not defined one, see the documentation of Fitter::FitFCN) return -1 In case of binned likelihood fits (Poisson Likelihood) return the 2 * negative log-likelihood ratio using the definition of Baker-Cousins.

Definition at line 153 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 660 of file FitResult.cxx.

◆ Correlation()

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

inline

retrieve correlation elements

Definition at line 225 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 215 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 133 of file FitResult.h.

◆ Edm()

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

inline

Expected distance from minimum.

Definition at line 117 of file FitResult.h.

◆ Error()

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

inline

parameter error by index

Definition at line 179 of file FitResult.h.

◆ Errors()

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

inline

parameter errors (return st::vector)

Definition at line 162 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`,
		int	fitType = `1`,
		const ROOT::Math::IMultiGenFunction *	chi2func = `nullptr`,
		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 631 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 139 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 maintained for backward compatibility and will be deprecated

Definition at line 583 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 599 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 arranged as (x0,y0,..,x1,y1,...,xN,yN,..) stride1=ndim, stride2=1

the confidence interval are returned in the array ci cl is the desired confidence 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 506 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 249 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 235 of file FitResult.h.

◆ GetErrors()

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

inline

parameter errors (return const pointer)

Definition at line 164 of file FitResult.h.

◆ GetParameterName()

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

inline

get name of parameter (deprecated)

Definition at line 327 of file FitResult.h.

◆ GetParams()

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

inline

parameter values (return const pointer)

Definition at line 169 of file FitResult.h.

◆ GlobalCC()

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

inline

parameter global correlation coefficient

Definition at line 209 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 325 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 351 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 108 of file FitResult.h.

◆ IsParameterBound()

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

query if a parameter is bound

Definition at line 361 of file FitResult.cxx.

◆ IsParameterFixed()

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

query if a parameter is fixed

Definition at line 365 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 succeeded 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 responsibility to the Minimizer class to tag a found minimum as valid or not and to produce also a status code.

Definition at line 105 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 332 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 111 of file FitResult.h.

◆ MinimizerType()

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

inline

minimization quantities

minimizer type

Definition at line 93 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 337 of file FitResult.h.

◆ NCalls()

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

inline

Number of function calls to find minimum.

Definition at line 114 of file FitResult.h.

◆ Ndf()

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

inline

Number of degree of freedom.

Definition at line 156 of file FitResult.h.

◆ NFreeParameters()

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

inline

get total number of free parameters

Definition at line 125 of file FitResult.h.

◆ NormalizedErrors()

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

inline

flag to check if errors are normalized

Definition at line 308 of file FitResult.h.

◆ NormalizeErrors()

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

normalize errors using chi2/ndf for chi2 fits

Definition at line 298 of file FitResult.cxx.

◆ NPar()

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

inline

total number of parameters (abbreviation)

Definition at line 122 of file FitResult.h.

◆ NTotalParameters()

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

inline

get total number of parameters

Definition at line 120 of file FitResult.h.

◆ Parameter()

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

inline

parameter value by index

Definition at line 174 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 369 of file FitResult.cxx.

◆ Parameters()

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

inline

parameter values (return std::vector)

Definition at line 167 of file FitResult.h.

◆ ParError()

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

inline

parameter error by index

Definition at line 183 of file FitResult.h.

◆ ParName()

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

name of the parameter

Definition at line 382 of file FitResult.cxx.

◆ Print()

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

print the result and optionally covariance matrix and correlations

Definition at line 389 of file FitResult.cxx.

◆ PrintCovMatrix()

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

print error matrix and correlations

Definition at line 447 of file FitResult.cxx.

◆ Prob()

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

p value of the fit (chi2 probability)

Definition at line 320 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 639 of file FitResult.cxx.

◆ SetChi2AndNdf()

void ROOT::Fit::FitResult::SetChi2AndNdf	(	double	chi2,
		unsigned int	npoints
	)

Set the chi2 and the ndf This function should be called when using an external FCN for fitting and one provides the chi2 and the number of fitting data points) to store and have them printed in the FitResult class.

Definition at line 311 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 346 of file FitResult.cxx.

◆ SetModelFunction()

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

inlineprotected

Definition at line 338 of file FitResult.h.

◆ Status()

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

inline

minimizer status code

Definition at line 128 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 224 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 339 of file FitResult.cxx.

◆ Value()

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

inline

parameter value by index

Definition at line 172 of file FitResult.h.

Friends And Related Symbol Documentation

◆ Fitter

friend class Fitter

friend

Definition at line 340 of file FitResult.h.

Member Data Documentation

◆ fBoundParams

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

protected

list of limited parameters

Definition at line 358 of file FitResult.h.

◆ fChi2

double ROOT::Fit::FitResult::fChi2

protected

fit chi2 value (different than fval in case of chi2 fits)

Definition at line 352 of file FitResult.h.

◆ fCovMatrix

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

protected

covariance matrix (size is npar*(npar+1)/2) where npar is total parameters

Definition at line 362 of file FitResult.h.

◆ fCovStatus

int ROOT::Fit::FitResult::fCovStatus

protected

covariance matrix status code

Definition at line 349 of file FitResult.h.

◆ fEdm

double ROOT::Fit::FitResult::fEdm

protected

expected distance from minimum

Definition at line 351 of file FitResult.h.

◆ fErrors

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

protected

errors

Definition at line 361 of file FitResult.h.

◆ fFitData

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

protected

! data set used in the fit

Definition at line 356 of file FitResult.h.

◆ fFitFunc

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

protected

! model function resulting from the fit.

Definition at line 355 of file FitResult.h.

◆ fFixedParams

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

protected

list of fixed parameters

Definition at line 357 of file FitResult.h.

◆ fGlobalCC

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

protected

global Correlation coefficient

Definition at line 363 of file FitResult.h.

◆ fMinimizer

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

protected

! minimizer object used for fitting

Definition at line 353 of file FitResult.h.

◆ fMinimType

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

protected

string indicating type of minimizer

Definition at line 365 of file FitResult.h.

◆ fMinosErrors

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

protected

map contains the two Minos errors

Definition at line 364 of file FitResult.h.

◆ fNCalls

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

protected

number of function calls

Definition at line 347 of file FitResult.h.

◆ fNdf

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

protected

number of degree of freedom

Definition at line 346 of file FitResult.h.

◆ fNFree

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

protected

number of fit free parameters (total parameters are in size of parameter vector)

Definition at line 345 of file FitResult.h.

◆ fNormalized

bool ROOT::Fit::FitResult::fNormalized

protected

flag for indicating is errors are normalized

Definition at line 344 of file FitResult.h.

◆ fObjFunc

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

protected

! objective function used for fitting

Definition at line 354 of file FitResult.h.

◆ fParamBounds

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

protected

parameter bounds

Definition at line 359 of file FitResult.h.

◆ fParams

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

protected

parameter values. Size is total number of parameters

Definition at line 360 of file FitResult.h.

◆ fParNames

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

protected

parameter names (only with FCN only fits, when fFitFunc=0)

Definition at line 366 of file FitResult.h.

◆ fStatus

int ROOT::Fit::FitResult::fStatus

protected

minimizer status code

Definition at line 348 of file FitResult.h.

◆ fVal

double ROOT::Fit::FitResult::fVal

protected

minimum function value

Definition at line 350 of file FitResult.h.

◆ fValid

bool ROOT::Fit::FitResult::fValid

protected

flag for indicating valid fit

Definition at line 343 of file FitResult.h.

Libraries for ROOT::Fit::FitResult:

[legend]

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

math/mathcore/inc/Fit/FitResult.h
math/mathcore/src/FitResult.cxx

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Friends

Member Typedef Documentation

◆ IModelFunction

Constructor & Destructor Documentation

◆ FitResult() [1/2]

◆ FitResult() [2/2]

◆ ~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()

◆ Parameter()

◆ ParameterBounds()

◆ Parameters()

◆ ParError()

◆ ParName()

◆ Print()

◆ PrintCovMatrix()

◆ Prob()

◆ Scan()

◆ SetChi2AndNdf()

◆ SetMinosError()

◆ SetModelFunction()

◆ Status()

◆ Update()

◆ UpperError()

◆ Value()

Friends And Related Symbol Documentation

◆ Fitter

Member Data Documentation

◆ fBoundParams

◆ fChi2

◆ fCovMatrix

◆ fCovStatus

◆ fEdm

◆ fErrors

◆ fFitData

◆ fFitFunc

◆ fFixedParams

◆ fGlobalCC

◆ fMinimizer

◆ fMinimType