URANIE::Sensitivity::TSobolRank Class Reference

#include <TSobolRank.h>

Inheritance diagram for URANIE::Sensitivity::TSobolRank:

Collaboration diagram for URANIE::Sensitivity::TSobolRank:

Public Member Functions
Constructor and Destructor
	TSobolRank ()
	Default constructor.
	TSobolRank (URANIE::DataServer::TDataServer *tds, const char *sInputs, const char *sOutputs, Option_t *option="")
	TSobolRank constructor with data contined in the TDS and the inputs and outputs attributes.
virtual	~TSobolRank ()
	Default destructor.
Parse the option
void	generateSample (Option_t *option="")
	Read option specific to TJohnsonRW.
Computes the indexes
void	evaluateIndexes (Option_t *option="")
	Evaluates the index from a Specific TDataServer.
Public Member Functions inherited from URANIE::Sensitivity::TSensitivity
	TSensitivity ()
	Default constructor.
	TSensitivity (URANIE::DataServer::TDataServer *tds, const char *fcn, Int_t ns, const char *varexpinput="", const char *varexpoutput="", Option_t *option="")
	Default constructor with the name of a function.
	TSensitivity (URANIE::DataServer::TDataServer *tds, void(*fcn)(Double_t *, Double_t *), const char *varexpinput, const char *varexpoutput, Int_t ns, Option_t *option="")
	TSensitivity (URANIE::DataServer::TDataServer *tds, const char *varexpinput, const char *varexpoutput, Option_t *option="")
	Default constructor.
	TSensitivity (URANIE::DataServer::TDataServer *tds, URANIE::Launcher::TCode *code, Int_t ns, Option_t *option="")
	Default constructor with TCode arg.
	TSensitivity (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TRun *run, Int_t ns, Option_t *option="")
	Default constructor with TRun arg.
virtual	~TSensitivity ()
	Default destructor.
Int_t	getID ()
virtual TTree *	getResultTuple (bool commonresulttuple=true)
	Get the result ntuple (default parameter unused but for Morris method)
double	getValue (const char *sorder="", const char *sinputname="", const char *sselect="")
vector< int > *	getAttributeElements (string str)
void	setFunction (void(*fct)(Double_t *, Double_t *), Int_t nx=-1, Int_t ny=1)
TString	getFunctionName ()
void	setSeed (UInt_t nval)
UInt_t	getSeed ()
virtual void	setMethodName (const char *str)
	Set the Method name.
const char *	getMethodName ()
	Get the method name.
Bool_t	getNoIntermediateSaved ()
	Get the noIntermediateSaved flag.
const char *	getIteratorName ()
	Get the name of the iterator attribut of the method.
void	setSensitivityIteratorName (const char *str)
	Set the iterator name devoted to compute sensitivity indexes.
void	setTimeName (TString sname)
	Set the name of the time attribute (only one)
TString	getTimeName ()
	Get the name of the time attribute.
virtual void	setDrawProgressBar (Bool_t bbool=kTRUE)
	Set the "draw progress bar" flag.
void	setUsingErrors (bool thebool)
	Set the "using error results anyway" option.
Bool_t	getDrawProgressBar ()
	Get the clean flag.
Bool_t	isInputCorrelated ()
TMatrixD	getMatrixInputCorrelation ()
Int_t	getNInput ()
	Get the number of input attributes.
Int_t	getNOutput ()
	Get the number of output attributes.
void	setInputCorrelationMatrix (TMatrixD Corr)
virtual void	parseOption (Option_t *option="")
	Read the possible options.
void	checkOutputRequested (string attlist, bool fromoption=false)
	Check the output list requested by the user.
void	computeIndexes (Option_t *option="")
	Compute the Sensitivity Indexes.
void	fillIndex (const char *sinputname, const char *sorder, Double_t dval, const char *algo="", Double_t dvalCILower=-1.0, Double_t dvalCIUpper=-1.0)
	Method to fill in the tree the value of Sensitivity indexes for an input attribute.
virtual void	createTuple (Option_t *option="")
virtual void	drawIndexes (TString sTitre, const char *select="", Option_t *option="")
	Draws the indexes.
virtual void	setLog ()
void	unsetLog ()
void	changeLog ()
Bool_t	getLog ()
virtual void	printLog (Option_t *option="")
void	setNLauncher (ELauncher codeLauncher)

Additional Inherited Members
Public Types inherited from URANIE::Sensitivity::TSensitivity
enum	ELauncher {   kCode , kCodeRemote , kFunction , kRun ,   kUnknown }
Public Attributes inherited from URANIE::Sensitivity::TSensitivity
URANIE::DataServer::TDataServer *	_tds
	Pointeur vers un TDS.
TList *	_listOfInputAttributes
	List of the input branches.
TList *	_listOfOutputAttributes
	List of the input branches.
TString	_sTimeAttribute
	The name of the Time attribute.
Int_t	_nS
	The number of simulation or other information depend on the used method.
Int_t	_nX
	Dimension of the input.
UInt_t	_nY
	Dimension of the target.
UInt_t	_nElY
	Number of element for one selected output.
Int_t	_nbOut
	Total number of Output to be considered.
Int_t	_iOut
	counter for output
unsigned int	_iy
	iterator over number of element
unsigned int	_iely
	iterator over number of element
ELauncher	_nLauncher
	The type of launcher.
TString	_sFunctionName
	The Name of the evaluatuor.
URANIE::Launcher::TCode *	_code
	The tcode.
URANIE::Relauncher::TRun *	_run
TObjArray *	_drawingGarbageCollector
	Garbage collector for prints.
Int_t	_nSeed
	The seed of the random generator.
Bool_t	_bChosenOutputs
	Fact that the input list is provided or not.
Bool_t	_blog
	Boolean for edit the log.
Bool_t	_bdrawProgressBar
	Boolean to know if the progress bar has to be drawn.
Bool_t	_bnoIntermediateSaved
	Boolean to know if the progress bar has to be drawn.
TString	_sIteratorName
	The specific iterator attribute for the method.
TString	_sMethodName
	The method name.
TString	_sSelectedOutput
	The output.
TString	_sSelectedInput
	The input.
map< string, unsigned int >	_mAttributeSize
	Map of size of element for attribute;.
map< string, vector< int > >	_mAttributeElements
	Map of Elements number to run (if vector subselection is requested)
vector< string >	_vOutputNames
	Name of the output.
TCanvas *	_canvas
	Canvas object to deal with.
void(*	_pFunction )(double *, double *)
TTree *	_ntresult
	The TTree of results.
Protected Member Functions inherited from URANIE::Sensitivity::TSensitivity
void	checkCanvasCreation (bool newcan)
	Create a canvas if needed.
void	drawIndexesHistogram (TString sTitre, const char *select="", Option_t *option="")
	Draws indexes with an histogram.
void	drawIndexesPie (TString sTitre, const char *select="", Option_t *option="")
	Draws indexes with an pie chart.
virtual void	preTreatment ()
	PreTreatment for every output.
virtual void	postTreatment ()
	PostTreatment for every output.
void	setNoIntermediateSaved (Bool_t bbool=kTRUE)
	Set the "only final file" flag.
Protected Attributes inherited from URANIE::Sensitivity::TSensitivity
Char_t	_sOutputAttribute [MAXLENGTHSTRING]
	The name of the output attribute.
Char_t	_sInputAttribute [MAXLENGTHSTRING]
	The name of the input attribute.
Char_t	_sOrder [MAXLENGTHSTRING]
	The order of sensitivity indexes.
Char_t	_sMethod [MAXLENGTHSTRING]
	The name of the method.
Char_t	_sAlgorithm [MAXLENGTHSTRING]
	The name of the algorithm to compute the index.
Double_t	_valSobolCrt
	The value of sensitivity indexes.
Double_t	_valSobolCILower
	The value of lower Condidence Interval (95)
Double_t	_valSobolCIUpper
	The value of upper Condidence Interval (95)
TMatrixD	_minputCorr
	Input correlation matrix if sample needs to be correlated.
Bool_t	_bisInputCorrelated
	State whether the input correlation matrix is set.
Bool_t	_bgoingThroughError
	State whether the error must not block the computation.

Constructor & Destructor Documentation

TSobolRank() [1/2]

URANIE::Sensitivity::TSobolRank::TSobolRank

(

)

Default constructor.

Referenced by ClassImp().

TSobolRank() [2/2]

URANIE::Sensitivity::TSobolRank::TSobolRank	(	URANIE::DataServer::TDataServer *	tds,
		const char *	sInputs,
		const char *	sOutputs,
		Option_t *	option = ""
	)

TSobolRank constructor with data contined in the TDS and the inputs and outputs attributes.

Parameters

tds
sInputs
sOutputs
option	(Option_t *) option to pass [""]

~TSobolRank()

virtual URANIE::Sensitivity::TSobolRank::~TSobolRank ( )

virtual

Default destructor.

Referenced by ClassImp().

Member Function Documentation

evaluateIndexes()

void URANIE::Sensitivity::TSobolRank::evaluateIndexes ( Option_t *  option = "" )

virtual

Evaluates the index from a Specific TDataServer.

The TDS must contain an attribute Name + "n__iter__sobol" with values

• -1 : for the M matrix
• 0 : for the N matrix
• ix+1 : for the matrix Mi
• 100*_nX+ ix+1 : for the matrix Ni

Parameters

option

(Option_t *) option to pass [""]

Implements URANIE::Sensitivity::TSensitivity.

Referenced by ClassImp().

generateSample()

void URANIE::Sensitivity::TSobolRank::generateSample ( Option_t *  option = "" )

inlinevirtual

Read option specific to TJohnsonRW.

Possible options specific to this methods are

• "regressors": the computation is done on regressors instead of covariance matrix

Implements URANIE::Sensitivity::TSensitivity.