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 52 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...

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

virtual	~FitResult ()
	Destructor. 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...

bool	Update (const std::shared_ptr< ROOT::Math::Minimizer > &min, 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...

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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...

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

void	GetConfidenceIntervals (const BinData &data, double *ci, double cl=0.95, bool norm=true) 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=true) 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...

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

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

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

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

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

bool	fNormalized

unsigned int	fNFree

unsigned int	fNdf

unsigned int	fNCalls

int	fStatus

int	fCovStatus

double	fVal

double	fEdm

double	fChi2

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

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

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

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

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

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

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

std::vector< double >	fParams

std::vector< double >	fErrors

std::vector< double >	fCovMatrix

std::vector< double >	fGlobalCC

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

std::string	fMinimType

std::vector< std::string >	fParNames

Friends
class	Fitter

#include <Fit/FitResult.h>

Inheritance diagram for ROOT::Fit::FitResult:

[legend]

Member Typedef Documentation

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

Definition at line 56 of file FitResult.h.

Constructor & Destructor Documentation

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

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

Definition at line 45 of file FitResult.cxx.

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.

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

Copy constructor.

Definition at line 241 of file FitResult.cxx.

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

virtual

Destructor.

Definition at line 236 of file FitResult.cxx.

Member Function Documentation

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

inline

Chi2 fit value in case of likelihood must be computed ?

Definition at line 165 of file FitResult.h.

Referenced by HFit::Fit(), TF1::SetFitResult(), testGraphFit(), testHisto1DFit(), testHisto1DPolFit(), and testHisto2DFit().

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

inline

retrieve correlation elements

Definition at line 231 of file FitResult.h.

Referenced by PrintCovMatrix().

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

inline

retrieve covariance matrix element

Definition at line 221 of file FitResult.h.

Referenced by Correlation(), GetConfidenceIntervals(), and PrintCovMatrix().

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 147 of file FitResult.h.

Referenced by TFitResult::GetCorrelationMatrix(), and TFitResult::GetCovarianceMatrix().

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

inline

Expected distance from minimum.

Definition at line 131 of file FitResult.h.

Referenced by TBackCompFitter::GetStats().

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

inline

parameter error by index

Definition at line 191 of file FitResult.h.

Referenced by RooMinimizerFcn::BackProp(), DoUnBinFit(), TBackCompFitter::GetErrors(), TFractionFitter::GetResult(), LowerError(), TF1::SetFitResult(), ROOT::Fit::FitConfig::SetFromFitResult(), and UpperError().

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

inline

parameter errors (return st::vector)

Definition at line 174 of file FitResult.h.

Referenced by TBinomialEfficiencyFitter::Fit(), HFit::Fit(), ROOT::TF1Helper::IntegralError(), TF1::SetFitResult(), and ROOT::Fit::UnBinFit().

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.

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.

Referenced by GetConfidenceIntervals().

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 153 of file FitResult.h.

Referenced by TAdvancedGraphicsDialog::DrawConfidenceLevels(), and ROOT::Fit::GetConfidenceIntervals().

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 = `true`
	)		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 By default the intervals are corrected using the chi2/ndf value of the fit if a chi2 fit is performed

Definition at line 560 of file FitResult.cxx.

Referenced by TAdvancedGraphicsDialog::DrawConfidenceLevels(), ROOT::Fit::GetConfidenceIntervals(), and GetConfidenceIntervals().

void ROOT::Fit::FitResult::GetConfidenceIntervals	(	const BinData &	data,
		double *	ci,
		double	cl = `0.95`,
		bool	norm = `true`
	)		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 633 of file FitResult.cxx.

std::vector< double > ROOT::Fit::FitResult::GetConfidenceIntervals	(	double	cl = `0.95`,
		bool	norm = `true`
	)		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 649 of file FitResult.cxx.

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 255 of file FitResult.h.

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 241 of file FitResult.h.

Referenced by ROOT::TF1Helper::IntegralError().

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

inline

parameter errors (return const pointer)

Definition at line 176 of file FitResult.h.

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

inline

get name of parameter (deprecated)

Definition at line 323 of file FitResult.h.

Referenced by Print(), and PrintCovMatrix().

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

inline

parameter values (return const pointer)

Definition at line 181 of file FitResult.h.

Referenced by TFractionFitter::GetPlot(), and line3Dfit().

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

inline

parameter global correlation coefficient

Definition at line 215 of file FitResult.h.

Referenced by TBackCompFitter::GetErrors().

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

query if parameter i has the Minos error

Definition at line 382 of file FitResult.cxx.

Referenced by ROOT::Fit::FitConfig::SetFromFitResult().

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

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

Definition at line 408 of file FitResult.cxx.

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

inline

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

Definition at line 122 of file FitResult.h.

Referenced by TBinomialEfficiencyFitter::Fit(), HFit::Fit(), TF1::SetFitResult(), and ROOT::Fit::UnBinFit().

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

query if a parameter is bound

Definition at line 418 of file FitResult.cxx.

Referenced by Print().

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

query if a parameter is fixed

Definition at line 422 of file FitResult.cxx.

Referenced by Print(), PrintCovMatrix(), and ROOT::Fit::FitConfig::SetFromFitResult().

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 119 of file FitResult.h.

Referenced by TBackCompFitter::GetErrors().

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 389 of file FitResult.cxx.

Referenced by RooMinimizerFcn::BackProp(), and TBackCompFitter::GetErrors().

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

inline

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

Definition at line 125 of file FitResult.h.

Referenced by DoUnBinFitVec(), TBinomialEfficiencyFitter::Fit(), TBackCompFitter::GetStats(), line3Dfit(), TF1::SetFitResult(), and testUnBin1DFit().

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

inline

minimization quantities

minimizer type

Definition at line 107 of file FitResult.h.

Referenced by ROOT::Fit::FitConfig::SetFromFitResult().

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 333 of file FitResult.h.

Referenced by TFitResult::TFitResult().

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

inline

Number of function calls to find minimum.

Definition at line 128 of file FitResult.h.

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

inline

Number of degree of freedom.

Definition at line 168 of file FitResult.h.

Referenced by TBinomialEfficiencyFitter::Fit(), HFit::Fit(), TF1::SetFitResult(), and ROOT::Fit::UnBinFit().

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

inline

get total number of free parameters

Definition at line 139 of file FitResult.h.

Referenced by TBinomialEfficiencyFitter::Fit(), TBackCompFitter::GetStats(), and TF1::SetFitResult().

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

inline

flag to chek if errors are normalized

Definition at line 304 of file FitResult.h.

Referenced by ROOT::Fit::FitConfig::SetFromFitResult().

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

normalize errors using chi2/ndf for chi2 fits

Definition at line 363 of file FitResult.cxx.

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

inline

total number of parameters (abbreviation)

Definition at line 136 of file FitResult.h.

Referenced by TFitResult::GetCorrelationMatrix(), TFitResult::GetCovarianceMatrix(), TF1::SetFitResult(), and ROOT::Fit::FitConfig::SetFromFitResult().

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

inline

get total number of parameters

Definition at line 134 of file FitResult.h.

Referenced by TBackCompFitter::GetStats(), and NPar().

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

Assignment operator.

Definition at line 248 of file FitResult.cxx.

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

inline

parameter value by index

Definition at line 186 of file FitResult.h.

Referenced by TFractionFitter::GetResult(), and TF1::SetFitResult().

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 426 of file FitResult.cxx.

Referenced by ROOT::Fit::FitConfig::SetFromFitResult().

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

inline

parameter values (return std::vector)

Definition at line 179 of file FitResult.h.

Referenced by TBinomialEfficiencyFitter::Fit(), HFit::Fit(), testHisto2DFit(), and ROOT::Fit::UnBinFit().

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

inline

parameter error by index

Definition at line 195 of file FitResult.h.

Referenced by TFitResult::Error().

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

name of the parameter

Definition at line 439 of file FitResult.cxx.

Referenced by GetParameterName(), and ROOT::Fit::FitConfig::SetFromFitResult().

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

print the result and optionaly covariance matrix and correlations

Definition at line 446 of file FitResult.cxx.

Referenced by combinedFit(), DoBinFit(), DoFit(), DoUnBinFit(), DoUnBinFitVec(), exampleFit3D(), HFit::Fit(), fit2DHist(), fit3DHist(), line3Dfit(), TFitResult::Print(), testGraphFit(), testHisto1DFit(), testHisto1DPolFit(), testHisto2DFit(), and testUnBin1DFit().

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

print error matrix and correlations

Definition at line 501 of file FitResult.cxx.

Referenced by HFit::Fit(), Print(), and testHisto1DPolFit().

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

p value of the fit (chi2 probability)

Definition at line 377 of file FitResult.cxx.

Referenced by exampleFit3D().

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 403 of file FitResult.cxx.

Referenced by FillResult().

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

inlineprotected

Definition at line 334 of file FitResult.h.

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

inline

minimizer status code

Definition at line 142 of file FitResult.h.

Referenced by ClassImp(), TFractionFitter::ErrorAnalysis(), TBinomialEfficiencyFitter::Fit(), HFit::Fit(), and ROOT::Fit::UnBinFit().

bool ROOT::Fit::FitResult::Update	(	const std::shared_ptr< ROOT::Math::Minimizer > &	min,
		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 291 of file FitResult.cxx.

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 396 of file FitResult.cxx.

Referenced by RooMinimizerFcn::BackProp(), and TBackCompFitter::GetErrors().

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

inline

parameter value by index

Definition at line 184 of file FitResult.h.

Referenced by RooMinimizerFcn::BackProp(), DoUnBinFit(), and ROOT::Fit::FitConfig::SetFromFitResult().