TJohnsonRW.h

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// Copyright (C) 2013-2024 CEA/DES
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published
// by the Free Software Foundation, either version 3 of the License, or any
// later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with this program. If not, see <http://www.gnu.org/licenses/>.
// $Id$
// $Author$
// $Date$
// $Revision$
// $State$
 
#ifndef TJOHNSONRW_H
#define TJOHNSONRW_H
#include "TSensitivity.h"
 
namespace URANIE
{
namespace Sensitivity
{
class TJohnsonRW: public TSensitivity
{
 
 
private:
 
    Double_t _dr2;                 
    Double_t _dr2A;                
    bool _busingCorr;              
    bool _bmatCorrSet;             
    bool _busingSample;            
    TString _sSampMethod;          
    
    TMatrixD _mmatCorr;            
    TMatrixD _mRxxInv;             
 
    TMatrixD _mLambda;             
    TMatrixD _mBetanoY;            
 
    int _localYCounter;            
 
    // Operations
    
public:
 
    //---------------------------------------------
    
    TJohnsonRW();
 
    /*
      \param tds (URANIE::DataServer::TDataServer *) the dataserver
      \param varexpinput(const char*)[""] The list of input attributes to pass to the function separated by the caracter ":"
      \param varexpoutput (const char *)[""]  The list of output attributes separated by the caracter ":"
      \param 
    */
 
    TJohnsonRW(URANIE::DataServer::TDataServer *tds, const char *varexpinput,
               const char *varexpoutput, Option_t * option = "");
 
 
    TJohnsonRW(URANIE::DataServer::TDataServer *tds, const char *fcn, Int_t ns,
            const char *varexpinput = "", const char *varexpoutput = "",
            Option_t * option = "");
 
    TJohnsonRW(URANIE::DataServer::TDataServer *tds,
            void (*fcn)(Double_t*,Double_t*),
            const char *varexpinput, const char *varexpoutput,
            Int_t ns, Option_t * option = "");
  
 
    TJohnsonRW(URANIE::DataServer::TDataServer *tds,
            URANIE::Launcher::TCode *code, Int_t ns, Option_t * option = "");
 
    TJohnsonRW(URANIE::DataServer::TDataServer *tds,
            URANIE::Relauncher::TRun *run, Int_t ns, Option_t * option = "");   
    virtual ~TJohnsonRW();
 
 
    //---------------------------------------------
 
    void parseOption(Option_t *option = "");
 
    //---------------------------------------------
    void generateSample(Option_t * option = "");
 
    //---------------------------------------------
    void evaluateIndexes(Option_t * option = "");
 
    void preTreatment();
 
    //---------------------------------------------
 
    Double_t getR2(){
        cout << endl <<  " TJohnsonRW::getR2() :: this method returns the latest R2 computed, disregarding the algorithm used and if a vector has been analysed." << endl;
        cout << "   ==>  The proper results are now stored in the result tuple with flag __R2__ and __R2A__ " << endl << endl;
        return _dr2;
    }
    Double_t getR2A(){
        cout << endl <<  " TJohnsonRW::getR2A() :: this method returns the latest R2A computed, disregarding the algorithm used and if a vector has been analysed." << endl;
        cout << "   ==>  The proper results are now stored in the result tuple with flag __R2__ and __R2A__ " << endl << endl;
        return _dr2A;
    }
    void setCorrelationMatrix(TMatrixD corrMat);
 
    //---------------------------------------------
    virtual void printLog(Option_t *option = "");
 
    ClassDef(URANIE::Sensitivity::TJohnsonRW, ID_SENSITIVITY)
    //Classe de
};
 
} // Fin du namespace Sensitivity
} // Fin du namespace URANIE
#endif