class AliITSstatistics2 : public TObject {
//
-
public:
- AliITSstatistics2();
- AliITSstatistics2(Int_t order);
- AliITSstatistics2(AliITSstatistics2 &source); // copy constructor
- AliITSstatistics2& operator=(AliITSstatistics2 &source); // operator=
- virtual ~AliITSstatistics2();
- void Reset();
+ AliITSstatistics2(); // default constructor
+ AliITSstatistics2(Int_t order); // Standard constructor
+ AliITSstatistics2(AliITSstatistics2 &source); // copy constructor
+ AliITSstatistics2& operator=(AliITSstatistics2 &source); // operator=
+ virtual ~AliITSstatistics2();// destructor
+ void Reset(Int_t order=-1); // Resets statictisc order=-1 do not change order.
void AddValue(Double_t y,Double_t x,Double_t w);
- void AddValue(Double_t y,Double_t x){AddValue(y,x,1.0);} // default weight
- void AddValue(Float_t y,Float_t x,Float_t w){
- AddValue((Double_t)y,(Double_t)x,(Double_t)w);} // Floating point version
- void AddValue(Float_t y,Float_t x){AddValue(y,x,1.0);}// default weight F.
- Double_t GetXNth (Int_t order);
- Double_t GetYNth (Int_t order);
- Double_t GetYXNth(Int_t order);
- Double_t GetMeanY() {
- // return mean y
- return GetYNth(1);
- };
- Double_t GetMeanX() {
- // return mean x
- return GetXNth(1);
- };
- Double_t GetMeanYX() {
- // return mean Y*X
- return GetYXNth(1);
- };
- Int_t GetN(){
- // retrun the number of entries
- return fN;
- };
- Int_t GetOrder(){
- // return the maximum moment order
- return fOrder;
- };
- Double_t GetXN (Int_t order){
- // returns x^n
- return fx[order-1];
- };
- Double_t GetYN (Int_t order){
- // returns y^n
- return fy[order-1];
- };
- Double_t GetYXN(Int_t order){
- // returns (yx)^n
- return fyx[order-1];
- };
- Double_t GetWN (Int_t order){
- // returns w^n (weight)
- return fw[order-1];
- };
- Double_t GetRMSY();
- Double_t GetRMSX();
- Double_t GetRMSYX();
- Double_t GetErrorMeanY();
- Double_t GetErrorMeanX();
- Double_t GetErrorMeanYX();
- Double_t GetErrorRMSY();
- Double_t GetErrorRMSX();
- Double_t GetErrorRMSYX();
- Double_t FitToLine(Double_t &a,Double_t &b);
+ Double_t GetXNth (Int_t order)const;
+ Double_t GetYNth (Int_t order)const;
+ Double_t GetYXNth(Int_t order)const;
+ Double_t GetMeanY()const{// return mean y
+ return GetYNth(1);};
+ Double_t GetMeanX()const{// return mean x
+ return GetXNth(1);};
+ Double_t GetMeanYX()const{// return mean Y*X
+ return GetYXNth(1);};
+ Int_t GetN()const{// retrun the number of entries
+ // Int_t n=0; n=fN;if(fOver!=0) n+=fOver->GetN(); return n;
+ return fN;};
+ Int_t GetOrder()const{// return the maximum moment order
+ return fOrder;};
+ Double_t GetXN (Int_t order)const{// returns x^n
+ // Double_t x=0.0; x = fX[order-1];if(fOver!=0) x+=fOver->GetXN(order);
+ return fX[order-1];};
+ Double_t GetYN (Int_t order)const{// returns y^n
+ // Double_t y=0.0; y = fY[order-1];if(fOver!=0) y+=fOver->GetYN(order);
+ return fY[order-1];};
+ Double_t GetYXN(Int_t order)const{// returns (yx)^n
+ // Double_t yx=0.0; yx = fYx[order-1];if(fOver!=0) yx+=fOver->GetYXN(order);
+ return fYx[order-1];};
+ Double_t GetWN (Int_t order)const{// returns w^n (weight)
+ // Double_t w=0.0; w = fW[order-1];if(fOver!=0) w+=fOver->GetWN(order);
+ return fW[order-1];};
+ Double_t GetRMSY()const; // Returns Y rms value
+ Double_t GetRMSX()const; // Returns X rms value
+ Double_t GetRMSYX()const;// Return XY rms value
+ Double_t GetErrorMeanY()const; // returns error on y mean
+ Double_t GetErrorMeanX()const; // returns error on x mean
+ Double_t GetErrorMeanYX()const;// returns error on xy mean
+ Double_t GetErrorRMSY()const; // returns error on y rms
+ Double_t GetErrorRMSX()const; // returns error on x rms
+ Double_t GetErrorRMSYX()const; // returns error on xy rms
+ // returns Chi^2 value of data to line y=ax+b with given a,b
+ Double_t GetChiSquared(Double_t a,Double_t b)const;
+ // Fits data to a line of the form y=ax+b and returns values
+ // for a and b.
+ Double_t FitToLine(Double_t &a,Double_t &b)const
+ {Double_t ea,eb; return FitToLine(a,ea,b,eb);};
+ // Fits data to a line of the form y=ax+b and returns values
+ // for a and b and find errors on a and b.
+ Double_t FitToLine(Double_t &a,Double_t &ea,Double_t &b,Double_t &eb)const;
+ // Get the minimal significance value
+ // Int_t GetSignificantDigits()const{return fDig;}
+ // Set the minimal significance value
+ // void SetSignificantDigits(Int_t d);
+ // Print class in ascii form to stream
+ virtual void PrintAscii(ostream *os)const;
+ // Read in class in ascii form from stream
+ virtual void ReadAscii(istream *is);
private:
- Double_t *fx; // array of sums of x^n
- Double_t *fyx; // array of sums of (xy)^n
- Double_t *fy; // array of sums of y^n
- Double_t *fw; // array of sums of w^n (weights)
Int_t fN; // number of enetries
- Int_t fOrder; // maximum moment of distributions (^n)
-
+ Int_t fOrder; // maximum moment of distributions (^n)
+ Double_t *fX; //[fOrder] array of sums of x^n
+ Double_t *fYx; //[fOrder] array of sums of (xy)^n
+ Double_t *fY; //[fOrder] array of sums of y^n
+ Double_t *fW; //[fOrder] array of sums of w^n (weights)
+ //Int_t fDig; // The number of significant digits to keep
+ //AliITSstatistics2 *fOver; //! In case of numerical precistion problems
- ClassDef(AliITSstatistics2,1) //
+ ClassDef(AliITSstatistics2,1) //compute usueful statistics in 2D
};
+// Input and output function for standard C++ input/output.
+ostream &operator<<(ostream &os,const AliITSstatistics2 &s);
+istream &operator>>(istream &is,AliITSstatistics2 &s);
#endif
+
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff