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ROOT::Fit::FitResult Class Reference

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 BinDataFittedBinData () 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 IModelFunctionFittedFunction () 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< doubleGetConfidenceIntervals (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 doubleGetErrors () const
 parameter errors (return const pointer)
 
std::string GetParameterName (unsigned int ipar) const
 get name of parameter (deprecated)
 
const doubleGetParams () 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< IModelFunctionModelFunction ()
 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 intfBoundParams
 list of limited parameters
 
double fChi2
 fit chi2 value (different than fval in case of chi2 fits)
 
std::vector< doublefCovMatrix
 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< doublefErrors
 errors
 
std::shared_ptr< FitDatafFitData
 ! data set used in the fit
 
std::shared_ptr< IModelFunctionfFitFunc
 ! model function resulting from the fit.
 
std::map< unsigned int, boolfFixedParams
 list of fixed parameters
 
std::vector< doublefGlobalCC
 global Correlation coefficient
 
std::shared_ptr< ROOT::Math::MinimizerfMinimizer
 ! 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::IMultiGenFunctionfObjFunc
 ! objective function used for fitting
 
std::vector< std::pair< double, double > > fParamBounds
 parameter bounds
 
std::vector< doublefParams
 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

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:

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