URANIE::DataServer::TStochasticAttribute Class Reference

#include <TStochAttribut.h>

Inheritance diagram for URANIE::DataServer::TStochasticAttribute:

Collaboration diagram for URANIE::DataServer::TStochasticAttribute:

Public Types
enum	ELawType {   kUniform , kLogUniform , kNormal , kStudent ,   kLogNormal , kTrapezium , kTriangular , kLogTriangular ,   kExponential , kBeta , kGamma , kInvGamma ,   kCauchy , kUniformByParts , kWeibull , kGumbel ,   kMultinomial , kGenPareto , kGeneralizedNormal , kGeneralizedNormalV2 ,   kCompose , kUnknown }
	The list of laws that a TStochasticAttribute can follow. More...
enum	EStochasticBasis {   kUnknownBasis , kHermite , kLegendre , kLaguerre ,   kJacobi }
	The list of orthogonal polynomial families that can represent a given TStochasticAttribute. More...
Public Types inherited from URANIE::DataServer::TAttribute
enum	EOrigin {   kInternal , kIterator , kConstant , kAttribute ,   kDeleted }
enum	EAttribute { kInput , kOutput }
enum	EType {   kDefault , kReal , kVector , kString ,   kCategory , kInconnu }

Public Member Functions
	TStochasticAttribute ()
	Default Constructor.
	TStochasticAttribute (TString str)
	Constructor setting the name.
	TStochasticAttribute (TString str, ELawType value)
	Constructor setting the name and the law type.
	TStochasticAttribute (TString str, ELawType value, Double_t min, Double_t max)
	Constructor setting the name, the law type, and the range (lower and upper bounds)
	TStochasticAttribute (TAttribute *object, ELawType value)
	Construction of a TStochasticAttribute from an existing TAttribute object.
virtual	~TStochasticAttribute ()
	Default Destructor.
Statistical methods
Statistical methods ( pdf, cdf, theoretical information...).
virtual void	computeTheoreticalInformation ()=0
	Computes the theoretical values of various statistical measures, like mean, standard deviation, mode, etc.
virtual Double_t	getPDF (Double_t x)=0
	Returns the probability density for the value x.
double	getPDFforTF1 (double *x)
virtual Double_t	getCDF (Double_t x)=0
	Returns the cumulative distribution for the value x.
double	getCDFforTF1 (double *x)
virtual Double_t	getInvCDF (Double_t p)=0
	Returns the value corresponding to the cumulative density p.
double	getInvCDFforTF1 (double *x)
virtual Double_t	getTheoreticalMean ()
	Returns the theoretical value of the mean.
virtual Double_t	getTheoreticalStdDev ()
	Returns the theoretical value of the standard deviation.
virtual Double_t	getTheoreticalMode ()
	Returns the theoretical value of the mode.
Statistical Representation
void	setLawType (ELawType value)
	Sets the law type from an integer value.
void	setLawType (TString name)
	Sets the law type from a law name.
int	getLawType ()
	Returns the law type as an integer.
void	setStochasticBasis (EStochasticBasis n)
	Defines an orthogonal polynomial family to represent the stochastic attribute.
void	setDefaultStochasticBasis ()
	Sets the default orthogonal polynomial family representing the stochastic attribute.
EStochasticBasis	getStochasticBasis () const
	Returns the orthogonal polynomial which is used to represent the attribute.
Treat the boundaries of an attribute
virtual Double_t	getPMin ()
	Returns the minimum value of the cumulative distribution function.
virtual Double_t	getPMax ()
	Returns the maximum value of the cumulative distribution function.
virtual void	printLog ()
	Display information specific to this class.
Public Member Functions inherited from URANIE::DataServer::TAttribute
	TAttribute ()
	Default constructor.
	TAttribute (const char *name, const char *title)
	TAttribute (TString name)
	Constructor by name only.
	TAttribute (TString name, EType type)
	Constructor by name and type only.
	TAttribute (TString name, TString value, EType type)
	Constructor by name and range.
	TAttribute (TString name, Double_t lower, Double_t upper)
	Constructor by name and range.
	TAttribute (const TAttribute &attr)
	Copy constructor.
TAttribute *	Clone (const char *newname) const
	Clone an attribute with a new name.
virtual	~TAttribute ()
	Default destructor.
void	checkSizeBeforePush (const char *type, int iel, Double_t val)
	Internal method used to check the validity of all setters when dealing with vectors.
Double_t	checkSizeBeforeGet (const char *type, int iel=0)
	Internal method used to check the validity of all getters when dealing with vectors and return the request.
void	setQuantile (double prob, double quantile, int iel=0)
	Set the quantile value.
void	getQuantilesSize (int &nb, int iel=0)
	Returns the number of quantile computed and stored for element iel.
void	getQuantiles (double *prob, double *quantile, int iel=0)
	Returns all the probabilities and corresponding quantiles computed for element iel.
void	getQuantile (double &prob, double &quantile, int iel=0)
	Returns the value of the quantile for element iel, given the probability.
void	getQuantileVector (double &prob, vector< double > &quantile)
	Returns the vector of quantile given the probability.
Double_t	getMinimum (int iel=0)
Double_t	getMinimumSize ()
	Returns the size of the vector of minimum.
Bool_t	hasDefault ()
	Details whether this attribute has a default value.
void	setMinimum (Double_t val, int iel=0)
	Set the minimum value oef element iel.
Double_t	getMaximum (int iel=0)
Double_t	getMaximumSize ()
	Returns the size of the vector of maximum.
void	setMaximum (Double_t val, int iel=0)
	Set the maximum value oef element iel.
void	getStatisticalVector (const char *type, vector< double > &vec)
	Returns the vector of considered statistical value.
Double_t	getMean (int iel=0)
Double_t	getMeanSize ()
	Returns the size of the vector of mean.
void	setMean (Double_t val, int iel=0)
	Set the mean value oef element iel.
Double_t	getStd (int iel=0)
Double_t	getStdSize ()
	Returns the size of the vector of std.
void	setStd (Double_t val, int iel=0)
	Set the std value oef element iel.
void	setSlurmOption (TString value)
EType	getDataType () const
	Returns the datatype of the considered attribute.
TString	getDataTypeStr ()
	Returns the datatype as TString.
void	setTitle (const char *title)
	Defines the title of the attribute.
void	setTitle (TString str)
TString	getTitle ()
void	setDataType (EType thetype)
	Change the type of data.
void	setDataType (TString name)
	Change the type of data.
TString	getLegend ()
	Returns the legend of the attribut.
TString	getUnit ()
void	setUnit (TString str)
TString	getUnity ()
void	setUnity (TString str)
TString	getNote ()
void	setNote (TString str)
Bool_t	setDefault (TString value)
TString	getDefault (TString format="%e")
Bool_t	setDefaultValue (Double_t val)
Bool_t	getDefaultValue (Double_t &val)
Bool_t	hasDefaultValue ()
Bool_t	setDefaultVector (vector< double > &vec)
Bool_t	getDefaultVector (vector< double > *val)
Bool_t	hasDefaultVector ()
Bool_t	setDefaultString (TString str)
Bool_t	getDefaultString (string &str)
Bool_t	hasDefaultString ()
void	setStepValue (Double_t val)
Bool_t	getStepValue (Double_t &val)
TString	getSlurmOption ()
EOrigin	getOrigin ()
void	setOrigin (EOrigin ind)
Int_t	getShare ()
void	setOutput ()
	Sets the attribute as an output attribute.
void	setInput ()
	Sets the attribute as Input.
EAttribute	getInputOutput ()
	Returns the input/Output information of the attribute.
void	setFileNameOfKey (TString str)
	Sets the file name for a key.
list< URANIE::DataServer::TAttributeFileKey * >	getKeyList ()
	Gets KeyList for the attribute.
void	setFieldOfKey (Int_t ind)
	Sets index ind in the unique field related to a unique key.
void	setFieldOfKey (Int_t sIndex, Int_t ind)
void	setFileKey (TString sfile, TString skey="", TString sformatToSubstitute="%e", TAttributeFileKey::EFileType FileType=TAttributeFileKey::kKey)
	Defines the input files and eventually others informations like key, format to substitute.
void	setFileFlag (TString sfile, TString skey="", TString sformatToSubstitute="%e")
	Defines the input files as in the "flag" format and eventually others informations like key, format to substitute.
void	setFileXMLAttribute (TString sfile, TString sXPathAttribute, TString sformatToSubstitute="%e")
	Defines the input files as an "XML" input file with XPath attribute format and eventually the format to substitute.
void	setFileXMLField (TString sfile, TString sXPathField, TString sformatToSubstitute="%e")
	Defines the input files as an "XML" input file with XPath field and eventually the format to substitute.
void	setFileFMU (TString sfile, TString sXPathField, TString sformatToSubstitute="%e")
const char *	getFormatToSubstitute ()
	Returns the format of substitution.
void	setFormatToSubstitute (TString str)
	Sets the format of substitution.
Bool_t	isInput ()
	Tests if the attribute is an input attribute.
Bool_t	isOutput ()
	Tests if the attribute is an output attribute.
void	addShare ()
void	delShare ()
void	initShare ()
void	clearVectors ()
virtual void	setLowerBound (Double_t val, bool internalcall=false)
	Sets the lower bound value of the attribute.
Double_t	getLowerBound ()
	Gets the lower bound value of the attribute.
Bool_t	isLowerBounded ()
	Returns a boolean if the attribute have a lower bound.
virtual void	setUpperBound (Double_t val, bool internalcall=false)
	Sets the upper bound value of the attribute.
Double_t	getUpperBound ()
	Gets the upper bound value of the attribute.
Bool_t	isUpperBounded ()
	Returns a boolean if the attribute have an upper bound.
virtual void	setBounds (Double_t lower, Double_t upper)
	Sets the two bounds values (lower and upper) of the attribute.
Bool_t	isBounded ()
	Returns a boolean if the attribute have a lower AND an upper bounds.
void	setLog ()
void	unsetLog ()
void	changeLog ()
Bool_t	getLog ()
TAttribute *	getSonAttribute ()
void	setSonAttribute (TAttribute *tatt)
void	removeSonAttribute ()
Int_t	getLevel ()
void	setLevel (Int_t nlevel)
Bool_t	haveSon ()

Protected Attributes
ELawType	_lawType
	The law type ELawType.
Double_t	_dtheoreticalMean
	The theoretical mean.
Double_t	_dtheoreticalStdDev
	The theoretical standard deviation.
Double_t	_dtheoreticalMode
	The theoretical mode.
Double_t	_pmin
	The min value of cumulative density function.
Double_t	_pmax
	The max value of cumulative density function.
EStochasticBasis	_nStochasticBasis
	The stochastic representation of an orthogonal basis.
Protected Attributes inherited from URANIE::DataServer::TAttribute
TString	_sunity
	Unity.
TString	_snote
	Note.
Bool_t	_blog
	Log printing.
Int_t	_nshare
	The number of time this attribute is shared in TDataServer.
TAttribute *	_attSon
	Son attribute.
Int_t	_nlevel
	level to its "father"
Bool_t	_haveSon
	true if the attribute have a son
TString	_sFormatSubstitute
	Format to substitute the value.
list< TEventList * >	_nfields
	List of all TEventLists created for the attribute.
list< TAttributeFileKey * >	_KeyList
	List of Keys Attributes structures.
Double_t	upperBound
	Upper bound.
Bool_t	_bHaveUpperBound
	If have an upper bound.
Double_t	lowerBound
	Lower bound.
Bool_t	_bHaveLowerBound
	If have a lower bound.
Double_t	_defaultValue
	Default value.
Bool_t	_bHaveDefaultValue
	If have a default value.
vector< double >	_defaultVector
	Default value for vector.
Bool_t	_bHaveDefaultVector
	If have a default value for vector.
string	_defaultString
	Default value for string.
Bool_t	_bHaveDefaultString
	If have a default value for string.
Double_t	_stepValue
	Step value when using in Optimization.
Bool_t	_bHaveStepValue
	If have a step value.
vector< Double_t >	_vminimum
	All minimun calculated.
vector< Double_t >	_vmaximum
	All maximun calculated.
vector< Double_t >	_vmean
	All mean calculated.
vector< Double_t >	_vstd
	All std calculated.
vector< Double_t > *	_vbuffer
vector< map< double, double > * >	_vquantile
	‍buffer pointer to check addresses
EOrigin	_norigin
	The origin of the attribute (Internal of uranie, attribute or Input, Output...)
EAttribute	_nAttribute
	The nature of attributes : kInput (default) or kOutput.
EType	_nType
	The type of attribute: real (double), vector (of double), string...
TString	_slurmValue

Detailed Description

This is the parent class for all attributes which values can be generated by a TSampler. Child objects are random variables following a specific law.

Warning

This class contains the following pure abstract methods

• computeTheoreticalInformation
• getPDF
• getCDF
• getInvCDF

Each must be redefined in the daughter classes.

Member Enumeration Documentation

ELawType

enum URANIE::DataServer::TStochasticAttribute::ELawType

The list of laws that a TStochasticAttribute can follow.

Enumerator
kUniform
kLogUniform
kNormal
kStudent
kLogNormal
kTrapezium
kTriangular
kLogTriangular
kExponential
kBeta
kGamma
kInvGamma
kCauchy
kUniformByParts
kWeibull
kGumbel
kMultinomial
kGenPareto
kGeneralizedNormal
kGeneralizedNormalV2
kCompose
kUnknown

EStochasticBasis

enum URANIE::DataServer::TStochasticAttribute::EStochasticBasis

The list of orthogonal polynomial families that can represent a given TStochasticAttribute.

Enumerator
kUnknownBasis
kHermite
kLegendre
kLaguerre
kJacobi

Constructor & Destructor Documentation

TStochasticAttribute() [1/5]

URANIE::DataServer::TStochasticAttribute::TStochasticAttribute

(

)

Default Constructor.

TStochasticAttribute() [2/5]

URANIE::DataServer::TStochasticAttribute::TStochasticAttribute

(

TString

str

)

Constructor setting the name.

Parameters

str	(TString) Name of the attribute

TStochasticAttribute() [3/5]

URANIE::DataServer::TStochasticAttribute::TStochasticAttribute	(	TString	str,
		ELawType	value
	)

Constructor setting the name and the law type.

Parameters

str	(TString) Name of the attribute
value	(ELawType) The type of the probability law of the attribute. The available types are defined in the ELawType enumerator

TStochasticAttribute() [4/5]

URANIE::DataServer::TStochasticAttribute::TStochasticAttribute	(	TString	str,
		ELawType	value,
		Double_t	min,
		Double_t	max
	)

Constructor setting the name, the law type, and the range (lower and upper bounds)

Parameters

str	(TString) Name of the attribute
value	(ELawType) The type of the probability law of the attribute. The available types are defined in the ELawType enumerator
min	(Double_t) Lower bound of the attribute's range
max	(Double_t) Upper bound of the attribute's range

TStochasticAttribute() [5/5]

URANIE::DataServer::TStochasticAttribute::TStochasticAttribute	(	TAttribute *	object,
		ELawType	value
	)

Construction of a TStochasticAttribute from an existing TAttribute object.

Warning

this copy constructor is incomplete. Please do not use. (Nicolas Gilardi, 2010.05.28)

Parameters

object	(TAttribute *) Pointer to the TAttribute object to copy;
value	(ELawType) The type of the probability law of the attribute. The available types are defined in the ELawType enum, e.g.: kUniform, kNormal, kBeta...

~TStochasticAttribute()

virtual URANIE::DataServer::TStochasticAttribute::~TStochasticAttribute ( )

virtual

Default Destructor.

Member Function Documentation

computeTheoreticalInformation()

virtual void URANIE::DataServer::TStochasticAttribute::computeTheoreticalInformation ( )

pure virtual

Computes the theoretical values of various statistical measures, like mean, standard deviation, mode, etc.

Warning

if the law is truncated, the theoretical values will not be the one from the "complete" law, but the one from the truncated law. As a consequence, this function must be called each time the lower and upper bounds of the attribute are reset.

Implemented in URANIE::DataServer::TBetaDistribution, URANIE::DataServer::TCauchyDistribution, URANIE::DataServer::TComposedDistribution, URANIE::DataServer::TCustomDistribution, URANIE::DataServer::TExponentialDistribution, URANIE::DataServer::TGammaDistribution, URANIE::DataServer::TGeneralizedNormalDistribution, URANIE::DataServer::TGeneralizedNormalV2Distribution, URANIE::DataServer::TGenParetoDistribution, URANIE::DataServer::TGumbelMaxDistribution, URANIE::DataServer::TInvGammaDistribution, URANIE::DataServer::TLogNormalDistribution, URANIE::DataServer::TLogTriangularDistribution, URANIE::DataServer::TLogUniformDistribution, URANIE::DataServer::TNormalDistribution, URANIE::DataServer::TStudentDistribution, URANIE::DataServer::TTrapeziumDistribution, URANIE::DataServer::TTriangularDistribution, URANIE::DataServer::TUniformByPartsDistribution, URANIE::DataServer::TUniformDistribution, and URANIE::DataServer::TWeibullDistribution.

getCDF()

virtual Double_t URANIE::DataServer::TStochasticAttribute::getCDF ( Double_t  x )

pure virtual

Returns the cumulative distribution for the value x.

Parameters

x	(Double_t) An acceptable value for the attribute

Warning

the behaviour of this function with respect to boundaries is:

• if x <= lowerBound: getCDF(x) == 0.0
• if x in [lowerBound, upperBound]: getCDF(x) in [0.0, 1.0]
• if x >= upperBound: getCDF(x) == 1.0

Implemented in URANIE::DataServer::TBetaDistribution, URANIE::DataServer::TCauchyDistribution, URANIE::DataServer::TComposedDistribution, URANIE::DataServer::TCustomDistribution, URANIE::DataServer::TExponentialDistribution, URANIE::DataServer::TGammaDistribution, URANIE::DataServer::TGeneralizedNormalDistribution, URANIE::DataServer::TGeneralizedNormalV2Distribution, URANIE::DataServer::TGenParetoDistribution, URANIE::DataServer::TGumbelMaxDistribution, URANIE::DataServer::TInvGammaDistribution, URANIE::DataServer::TLogNormalDistribution, URANIE::DataServer::TLogTriangularDistribution, URANIE::DataServer::TLogUniformDistribution, URANIE::DataServer::TMultinomialDistribution, URANIE::DataServer::TNormalDistribution, URANIE::DataServer::TStudentDistribution, URANIE::DataServer::TTrapeziumDistribution, URANIE::DataServer::TTriangularDistribution, URANIE::DataServer::TUniformByPartsDistribution, URANIE::DataServer::TUniformDistribution, and URANIE::DataServer::TWeibullDistribution.

Referenced by getCDFforTF1().

getCDFforTF1()

double URANIE::DataServer::TStochasticAttribute::getCDFforTF1 ( double *  x )

inline

References getCDF().

getInvCDF()

virtual Double_t URANIE::DataServer::TStochasticAttribute::getInvCDF ( Double_t  p )

pure virtual

Returns the value corresponding to the cumulative density p.

This function is used by the Sampler to generate acceptable values for the attribute

It can also be used to retrieve the theoretical quantiles of a random variable. For instance, the theoretical value of the median is equal to getInvCDF(0.5).

Parameters

p	(Double_t) A valid probability

Exceptions

UErrorExceptions

if p is outside of the interval [0,1]

Warning

This function must always return a value between lowerBound and upperBound.

Implemented in URANIE::DataServer::TBetaDistribution, URANIE::DataServer::TCauchyDistribution, URANIE::DataServer::TComposedDistribution, URANIE::DataServer::TCustomDistribution, URANIE::DataServer::TExponentialDistribution, URANIE::DataServer::TGammaDistribution, URANIE::DataServer::TGeneralizedNormalDistribution, URANIE::DataServer::TGeneralizedNormalV2Distribution, URANIE::DataServer::TGenParetoDistribution, URANIE::DataServer::TGumbelMaxDistribution, URANIE::DataServer::TInvGammaDistribution, URANIE::DataServer::TLogNormalDistribution, URANIE::DataServer::TLogTriangularDistribution, URANIE::DataServer::TLogUniformDistribution, URANIE::DataServer::TMultinomialDistribution, URANIE::DataServer::TNormalDistribution, URANIE::DataServer::TStudentDistribution, URANIE::DataServer::TTrapeziumDistribution, URANIE::DataServer::TTriangularDistribution, URANIE::DataServer::TUniformByPartsDistribution, URANIE::DataServer::TUniformDistribution, URANIE::DataServer::TWeibullDistribution, URANIE::DataServer::TGumbelDistribution, and URANIE::DataServer::TDiscreteAttribute.

Referenced by getInvCDFforTF1().

getInvCDFforTF1()

double URANIE::DataServer::TStochasticAttribute::getInvCDFforTF1 ( double *  x )

inline

References getInvCDF().

getLawType()

int URANIE::DataServer::TStochasticAttribute::getLawType ( )

inline

Returns the law type as an integer.

References _lawType.

getPDF()

virtual Double_t URANIE::DataServer::TStochasticAttribute::getPDF ( Double_t  x )

pure virtual

Returns the probability density for the value x.

Parameters

x	(Double_t) An acceptable value for the attribute

Warning

if x is outside of the [lowerBound, upperBound] interval, getPDF(x) must return 0.0

Implemented in URANIE::DataServer::TBetaDistribution, URANIE::DataServer::TCauchyDistribution, URANIE::DataServer::TComposedDistribution, URANIE::DataServer::TCustomDistribution, URANIE::DataServer::TExponentialDistribution, URANIE::DataServer::TGammaDistribution, URANIE::DataServer::TGeneralizedNormalDistribution, URANIE::DataServer::TGeneralizedNormalV2Distribution, URANIE::DataServer::TGenParetoDistribution, URANIE::DataServer::TGumbelDistribution, URANIE::DataServer::TGumbelMaxDistribution, URANIE::DataServer::TInvGammaDistribution, URANIE::DataServer::TLogNormalDistribution, URANIE::DataServer::TLogTriangularDistribution, URANIE::DataServer::TLogUniformDistribution, URANIE::DataServer::TMultinomialDistribution, URANIE::DataServer::TNormalDistribution, URANIE::DataServer::TStudentDistribution, URANIE::DataServer::TTrapeziumDistribution, URANIE::DataServer::TTriangularDistribution, URANIE::DataServer::TUniformByPartsDistribution, URANIE::DataServer::TUniformDistribution, URANIE::DataServer::TWeibullDistribution, and URANIE::DataServer::TDiscreteAttribute.

Referenced by getPDFforTF1().

getPDFforTF1()

double URANIE::DataServer::TStochasticAttribute::getPDFforTF1 ( double *  x )

inline

References getPDF().

getPMax()

virtual Double_t URANIE::DataServer::TStochasticAttribute::getPMax ( )

inlinevirtual

Returns the maximum value of the cumulative distribution function.

References _pmax.

Referenced by ClassImp().

getPMin()

virtual Double_t URANIE::DataServer::TStochasticAttribute::getPMin ( )

inlinevirtual

Returns the minimum value of the cumulative distribution function.

References _pmin.

Referenced by ClassImp().

getStochasticBasis()

EStochasticBasis URANIE::DataServer::TStochasticAttribute::getStochasticBasis ( ) const

inline

Returns the orthogonal polynomial which is used to represent the attribute.

Example:

TUniformDistribution *tunif = new TUniformDistribution("unif", -1.0, 2.0);
cout << " ** Stochastic polynomial [" << tunif->getStochasticBasis() << "]" <<  endl;

More precisely, for a pointer tatt on an object of the TStochasticAttribute family:

switch( tatt->getStochasticBasis() ) {
case TStochasticAttribute::kHermite: {
cout << " *** case Hermite" << endl;
break;
}
case TStochasticAttribute::kLegendre: {
cout << " *** case Legendre" << endl;
break;
}
case TStochasticAttribute::kUnknownBasis: {
cout << " *** Warning: unknown basis ***" << endl;
}
}

References _nStochasticBasis.

getTheoreticalMean()

virtual Double_t URANIE::DataServer::TStochasticAttribute::getTheoreticalMean ( )

virtual

Returns the theoretical value of the mean.

Reimplemented in URANIE::DataServer::TComposedDistribution.

getTheoreticalMode()

virtual Double_t URANIE::DataServer::TStochasticAttribute::getTheoreticalMode ( )

virtual

Returns the theoretical value of the mode.

Reimplemented in URANIE::DataServer::TComposedDistribution.

getTheoreticalStdDev()

virtual Double_t URANIE::DataServer::TStochasticAttribute::getTheoreticalStdDev ( )

virtual

Returns the theoretical value of the standard deviation.

Reimplemented in URANIE::DataServer::TComposedDistribution.

printLog()

virtual void URANIE::DataServer::TStochasticAttribute::printLog ( )

virtual

Display information specific to this class.

Reimplemented from URANIE::DataServer::TAttribute.

Reimplemented in URANIE::DataServer::TDiscreteAttribute, and URANIE::DataServer::TInfiniteDistribution.

Referenced by ClassImp(), ClassImp(), ClassImp(), ClassImp(), and ClassImp().

setDefaultStochasticBasis()

void URANIE::DataServer::TStochasticAttribute::setDefaultStochasticBasis

(

)

Sets the default orthogonal polynomial family representing the stochastic attribute.

The implicit rule is:

• (Log)Uniform law : Legendre
• (Log)Normal law : Hermite
• Exponential law : Laguerre
• Beta law (2 parameters) : Jacobi

The default for other laws is undefined (kUnknownBasis)

setLawType() [1/2]

void URANIE::DataServer::TStochasticAttribute::setLawType ( ELawType  value )

inline

Sets the law type from an integer value.

Parameters

value

(ELawType) The type of the probability law of the attribute. The available types are defined in the ELawType enumerator.

References _lawType.

setLawType() [2/2]

void URANIE::DataServer::TStochasticAttribute::setLawType

(

TString

name

)

Sets the law type from a law name.

The following choices are available for the law name:

• uniform
• logUniform
• normal
• logNormal
• triangular
• logTriangular
• exponential
• beta
• cauchy
• uniformByParts
• weibull
• gumbel
• multinomial
• unknown

Parameters

name	(TString) Name of the law. It is case insensitive.

setStochasticBasis()

void URANIE::DataServer::TStochasticAttribute::setStochasticBasis ( EStochasticBasis  n )

inline

Defines an orthogonal polynomial family to represent the stochastic attribute.

Parameters

n	(EStochasticBasis) The orthogonal polynomial family. It is chosen from EStochasticBasis enumerator.

Example:

TTriangularDistribution *ttri = new TTriangularDistribution("triangle", -1.0, 1.0, 0.0);
tunif->setStochasticBasis(TStochasticAttribute::kJacobi);                
tunif->printLog();

References _nStochasticBasis.

Member Data Documentation

_dtheoreticalMean

Double_t URANIE::DataServer::TStochasticAttribute::_dtheoreticalMean

protected

The theoretical mean.

Referenced by ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), and URANIE::DataServer::TComposedDistribution::getTheoreticalMean().

_dtheoreticalMode

Double_t URANIE::DataServer::TStochasticAttribute::_dtheoreticalMode

protected

The theoretical mode.

Referenced by ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), and URANIE::DataServer::TComposedDistribution::getTheoreticalMode().

_dtheoreticalStdDev

Double_t URANIE::DataServer::TStochasticAttribute::_dtheoreticalStdDev

protected

The theoretical standard deviation.

Referenced by ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), and URANIE::DataServer::TComposedDistribution::getTheoreticalStdDev().

_lawType

ELawType URANIE::DataServer::TStochasticAttribute::_lawType

protected

The law type ELawType.

Referenced by ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), getLawType(), and setLawType().

_nStochasticBasis

EStochasticBasis URANIE::DataServer::TStochasticAttribute::_nStochasticBasis

protected

The stochastic representation of an orthogonal basis.

Referenced by getStochasticBasis(), and setStochasticBasis().

_pmax

Double_t URANIE::DataServer::TStochasticAttribute::_pmax

protected

The max value of cumulative density function.

Referenced by ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), and getPMax().

_pmin

Double_t URANIE::DataServer::TStochasticAttribute::_pmin

protected

The min value of cumulative density function.

Referenced by ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), and getPMin().