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Uranie / Sensitivity
v4.10.0
|
TJohnsonRW.h
Go to the documentation of this file.
86 \param varexpinput(const char*)[""] The list of input attributes to pass to the function separated by the caracter ":"
87 \param varexpoutput (const char *)[""] The list of output attributes separated by the caracter ":"
160 cout << endl << " TJohnsonRW::getR2() :: this method returns the latest R2 computed, disregarding the algorithm used and if a vector has been analysed." << endl;
161 cout << " ==> The proper results are now stored in the result tuple with flag __R2__ and __R2A__ " << endl << endl;
166 cout << endl << " TJohnsonRW::getR2A() :: this method returns the latest R2A computed, disregarding the algorithm used and if a vector has been analysed." << endl;
167 cout << " ==> The proper results are now stored in the result tuple with flag __R2__ and __R2A__ " << endl << endl;
TString _sSampMethod
The sampling method.
Definition: TJohnsonRW.h:61
TMatrixD _mBetanoY
Beta matrix from Johnson method up to final output multiplication.
Definition: TJohnsonRW.h:67
bool _busingCorr
compute the weight from the correlation matrix.
Definition: TJohnsonRW.h:58
Double_t getR2A()
get the adjuested coefficient of determination R2A
Definition: TJohnsonRW.h:165
void parseOption(Option_t *option="")
Read option specific to TJohnsonRW.
void setCorrelationMatrix(TMatrixD corrMat)
Set the correlation matrix by hand.
bool _busingSample
Using a sample provided by fileDataRead.
Definition: TJohnsonRW.h:60
void evaluateIndexes(Option_t *option="")
Evaluates the index from a Specific TDataServer.
void generateSample(Option_t *option="")
Description of the class TSensitivity.
Definition: TSensitivity.h:111
TMatrixD _mRxxInv
Inverse input correlation matrix from SVD.
Definition: TJohnsonRW.h:64
Double_t _dr2A
The R2A define by the formula.
Definition: TJohnsonRW.h:57
TMatrixD _mmatCorr
Matrix of correlation to be used for coefficient calculation.
Definition: TJohnsonRW.h:63
virtual void printLog(Option_t *option="")
bool _bmatCorrSet
Set the correlation matrix by hand, not using empirical one;.
Definition: TJohnsonRW.h:59
TMatrixD _mLambda
Lambda matrix from Johnson method.
Definition: TJohnsonRW.h:66
int _localYCounter
Local counter to know how many outputs there are.
Definition: TJohnsonRW.h:69
Double_t _dr2
The R2 define by the formula.
Definition: TJohnsonRW.h:56
Interface of class URANIE::Sensitivity::TSensitivity.
Double_t getR2()
get the coefficient of determination R2
Definition: TJohnsonRW.h:159