Execute the Principal Component Analysis from a TDS. More...

#include <TkPCA.h>

Inheritance diagram for URANIE::Modeler::TkPCA:

Collaboration diagram for URANIE::Modeler::TkPCA:

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Public Member Functions
Constructor and Destructor
	TkPCA (URANIE::DataServer::TDataServer tds, const char varexp="", Option_t option="")
	Default constructor with TDS and attributes.

virtual	~TkPCA ()
	Default destructor.

Get and Set methods
URANIE::DataServer::TDSNtupleD *	getResultNtupleD ()
	Return the NtupleD of results.

void	setKernel (TKernel::EKernelType nKernel)
	Set the type of kernel without parameter.

void	setKernel (TKernel::EKernelType nKernel, Double_t dparam1)

void	setKernel (TKernel::EKernelType nKernel, Double_t dparam1, Double_t dparam2)
	Set the type of kernel with two parameters.

void	setKernel (TKernel::EKernelType nKernel, Double_t dparam1, Double_t dparam2, Double_t dparam3)
	Set the type of kernel with three parameters.

Computation
Return the NtupleD of results The TNtupleD contains : an iterator (i) the projection of origin variable onto PC the quality of this projection through the squared cosine the contribution to the definition of each and every PC
void	compute (Option_t *option="")
	The compute method.

void	generateKCenteredMatrix (Option_t *option)

The Draw methods
void	drawkPCA (Int_t indX, Int_t indY, TString scut="", Option_t *option="")
	Draw the Component.

Printing Log
void	setLog ()

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

virtual void	printLog (Option_t *option="RAS")

Public Attributes
Bool_t	_blog
	Boolean for edit the log.

Bool_t	_CentData
	Centering Data matrix.

Bool_t	_CentGram
	Centering Gram matrix.

Bool_t	_bCompletedFile
	Add original data to final results (for plotting purpose)

URANIE::DataServer::TDataServer *	_tds

URANIE::DataServer::TDSNtupleD *	_ntdResult
	Pointer to a TDS.

TKernel *	_ker
	Kernel constructor pointer.

TList *	_listOfInputAttributes
	The list of attributes.

TMatrixD	_matK
	The Gram matrix.

TMatrixD	_matKCent
	The Centered and transformed Gram Matrix.

int	_nS
	Sample size.

TVectorD	_vecEigenValues
	The vector of Eigenvalues.

TVectorD	_vecPctEigenValues
	The vector of sum (in percent) of the Eigenvalues.

Detailed Description

Execute the Principal Component Analysis from a TDS.

The Uranie API is

TDataServer * tds = new TDataServer("tds", "my TDS");
tds->fileDataRead("jambu.dat");
 
TkPCA * tpca = new TkPCA(tds, "Prof:Tran:Mena:Enfa:Cour:Toil:Rep:Somm:Tele:Lois");
tpca->compute();
 
tpca->drawkPCA(1, 2);
tpca->drawLoading(1,2);

See also: http://root.cern.ch/root/html/TPrincipal.html

Constructor & Destructor Documentation

◆ TkPCA()

URANIE::Modeler::TkPCA::TkPCA	(	URANIE::DataServer::TDataServer *	tds,
		const char *	varexp = `"*"`,
		Option_t *	option = `""`
	)

Default constructor with TDS and attributes.

Parameters

tds	(TDataServer *) the pointer of the TDataServer.
varexp	(char)[""] The list of attributes to analyse separated by the caracter ":" ( default "" all attributes)
option	(Option_t*) [""] option (not used actually)

Referenced by ClassImp().

◆ ~TkPCA()

virtual URANIE::Modeler::TkPCA::~TkPCA ( )

virtual

Default destructor.

Referenced by ClassImp().

Member Function Documentation

◆ changeLog()

void URANIE::Modeler::TkPCA::changeLog ( )

inline

References _blog.

◆ compute()

void URANIE::Modeler::TkPCA::compute ( Option_t * option = "" )

The compute method.

Parameters

option (Option_t*) [""] option (not used actually)

Referenced by ClassImp().

◆ drawkPCA()

void URANIE::Modeler::TkPCA::drawkPCA	(	Int_t	indX,
		Int_t	indY,
		TString	scut = `""`,
		Option_t *	option = `""`
	)

Draw the Component.

Parameters

indX	(Int_t) : the X component
indY	(Int_t) : the Y component
option	(Option_t*) [""] option (not used actually)

Referenced by ClassImp().

◆ generateKCenteredMatrix()

void URANIE::Modeler::TkPCA::generateKCenteredMatrix ( Option_t * option )

Referenced by ClassImp().

◆ getLog()

Bool_t URANIE::Modeler::TkPCA::getLog ( )

inline

References _blog.

◆ getResultNtupleD()

URANIE::DataServer::TDSNtupleD * URANIE::Modeler::TkPCA::getResultNtupleD ( )

inline

Return the NtupleD of results.

The NTupleD contains :

an iterator (i)
the eigenvalue (eigen)
the eigenvalue in percentage (eigen_pct)
the cumulative eigenvalue in percentage (sum_eigen_pct)

TDataServer * tds = new TDataServer("tds", "my TDS");
tds->fileDataRead("jambu.dat");
 
TkPCA * tpca = new TkPCA(tds, "Prof:Tran:Mena:Enfa:Cour:Toil:Rep:Somm:Tele:Lois");
tpca->compute();
 
TNtupleD *ntd = tpca->getResultNtupleD();
ntd->Scan("*");

************************************************************
*    Row   *         i *     eigen * eigen_pct * sum_eigen *
************************************************************
*        0 *         1 * 4.5886688 * 45.886688 * 45.886688 *
*        1 *         2 * 2.1198425 * 21.198425 * 67.085114 *
*        2 *         3 * 1.3209783 * 13.209783 * 80.294897 *
*        3 *         4 * 1.1952550 * 11.952550 * 92.247448 *
*        4 *         5 * 0.4684105 * 4.6841051 * 96.931553 *
*        5 *         6 * 0.1990474 * 1.9904742 * 98.922027 *
*        6 *         7 * 0.0468131 * 0.4681319 * 99.390159 *
*        7 *         8 * 0.0370651 * 0.3706510 * 99.760810 *
*        8 *         9 * 0.0239189 * 0.2391893 *       100 *
*        9 *        10 * 2.720e-16 * 2.720e-15 *       100 *
************************************************************

References _ntdResult.

◆ printLog()

virtual void URANIE::Modeler::TkPCA::printLog ( Option_t * option = "RAS" )

virtual

Referenced by ClassImp().

◆ setKernel() [1/4]

void URANIE::Modeler::TkPCA::setKernel ( TKernel::EKernelType nKernel )

inline

Set the type of kernel without parameter.

Parameters

nKernel (EKernelType) The type of kernel

References _ker, and URANIE::Modeler::TKernel::setKernel().

◆ setKernel() [2/4]

void URANIE::Modeler::TkPCA::setKernel	(	TKernel::EKernelType	nKernel,
		Double_t	dparam1
	)

inline

Parameters

nKernel	(EKernelType) The type of kernel
dparam	(Double_t) the First and only one parameter

References _ker, and URANIE::Modeler::TKernel::setKernel().

◆ setKernel() [3/4]

void URANIE::Modeler::TkPCA::setKernel	(	TKernel::EKernelType	nKernel,
		Double_t	dparam1,
		Double_t	dparam2
	)

inline

Set the type of kernel with two parameters.

Parameters

nKernel	(EKernelType) The type of kernel
dparam1	(Double_t) First parameter
dparam2	(Double_t) Second parameter

References _ker, and URANIE::Modeler::TKernel::setKernel().

◆ setKernel() [4/4]

void URANIE::Modeler::TkPCA::setKernel	(	TKernel::EKernelType	nKernel,
		Double_t	dparam1,
		Double_t	dparam2,
		Double_t	dparam3
	)

inline

Set the type of kernel with three parameters.

Parameters

nKernel	(EKernelType) The type of kernel
dparam1	(Double_t) First parameter
dparam2	(Double_t) Second parameter
dparam3	(Double_t) Third parameter

References _ker, and URANIE::Modeler::TKernel::setKernel().

◆ setLog()

void URANIE::Modeler::TkPCA::setLog ( )

inline

References _blog.

◆ unsetLog()

void URANIE::Modeler::TkPCA::unsetLog ( )

inline

References _blog.

Member Data Documentation

◆ _bCompletedFile

Bool_t URANIE::Modeler::TkPCA::_bCompletedFile

Add original data to final results (for plotting purpose)

Referenced by ClassImp().

◆ _blog

Bool_t URANIE::Modeler::TkPCA::_blog

Boolean for edit the log.

Referenced by changeLog(), ClassImp(), getLog(), setLog(), and unsetLog().

◆ _CentData

Bool_t URANIE::Modeler::TkPCA::_CentData

Centering Data matrix.

◆ _CentGram

Bool_t URANIE::Modeler::TkPCA::_CentGram

Centering Gram matrix.

Referenced by ClassImp().

◆ _ker

TKernel* URANIE::Modeler::TkPCA::_ker

Kernel constructor pointer.

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

◆ _listOfInputAttributes

TList* URANIE::Modeler::TkPCA::_listOfInputAttributes

The list of attributes.

Referenced by ClassImp().

◆ _matK

TMatrixD URANIE::Modeler::TkPCA::_matK

The Gram matrix.

Referenced by ClassImp().

◆ _matKCent

TMatrixD URANIE::Modeler::TkPCA::_matKCent

The Centered and transformed Gram Matrix.

Referenced by ClassImp().

◆ _nS

int URANIE::Modeler::TkPCA::_nS

Sample size.

Referenced by ClassImp().

◆ _ntdResult

URANIE::DataServer::TDSNtupleD* URANIE::Modeler::TkPCA::_ntdResult

Pointer to a TDS.

The NTupleD of results (for variable interpretation)

Referenced by ClassImp(), and getResultNtupleD().

◆ _tds

URANIE::DataServer::TDataServer* URANIE::Modeler::TkPCA::_tds

Referenced by ClassImp().

◆ _vecEigenValues

TVectorD URANIE::Modeler::TkPCA::_vecEigenValues

The vector of Eigenvalues.

Referenced by ClassImp().

◆ _vecPctEigenValues

TVectorD URANIE::Modeler::TkPCA::_vecPctEigenValues

The vector of sum (in percent) of the Eigenvalues.

Referenced by ClassImp().

Documentation / Developer's manual

Available modules

Public Member Functions

Public Attributes

Detailed Description

Constructor & Destructor Documentation

◆ TkPCA()

◆ ~TkPCA()

Member Function Documentation

◆ changeLog()

◆ compute()

◆ drawkPCA()

◆ generateKCenteredMatrix()

◆ getLog()

◆ getResultNtupleD()

◆ printLog()

◆ setKernel() [1/4]

◆ setKernel() [2/4]

◆ setKernel() [3/4]

◆ setKernel() [4/4]

◆ setLog()

◆ unsetLog()

Member Data Documentation

◆ _bCompletedFile

◆ _blog

◆ _CentData

◆ _CentGram

◆ _ker

◆ _listOfInputAttributes

◆ _matK

◆ _matKCent

◆ _nS

◆ _ntdResult

◆ _tds

◆ _vecEigenValues

◆ _vecPctEigenValues