RWAddObservations< T, S > Class Template Reference

Holds information about adding observations to a parameter calculation. More...

#include <rw/analytics/regcalc.h>

Inheritance diagram for RWAddObservations< T, S >:

Public Member Functions
	RWAddObservations ()
	RWAddObservations (const RWAddObservations< T, S > &a)
	RWAddObservations (const RWGenMat< T > &r, const RWMathVec< S > o, size_t numAdded, bool setBaseToLast=false)
int	numAdded () const
void	setNumAdded (int na)
Public Member Functions inherited from RWRegressionDataChange< T, S >
bool	baseToLast () const
const RWMathVec< S > &	newObservationVec () const
const RWGenMat< T > &	newRegressionMat () const
void	setBaseToLast (bool s)
void	setNewObservationVec (const RWMathVec< S > &o)
void	setNewRegressionMat (const RWGenMat< T > &r)

Detailed Description

template<class T, class S>
class RWAddObservations< T, S >

Class RWAddObservations holds information about adding observations to a parameter calculation object's base calculation. This information must consist of the following:

• The new regression matrix. This is the regression matrix used in the parameter calculation's objects base calculation with the rows representing the added observations appended.
• The new observation vector. This is the observation vector used in the parameter calculation object's base calculation with the added observations appended.
• The number of observations added.

Synopsis

#include <rw/analytics/regcalc.h>
RWAddObservations<double,double> a;

Example

#include <rw/analytics/lsqqr.h>
#include <rw/rstream.h>

int main()
{
  // Full model regression matrix.
  RWGenMat<double> regMat( "6x3 [1  1.3 .54 \
                                 1  3.5 .65 \
                                 1 -2.3 .88 \
                                 1  8.2 .76 \
                                 1 -4.2 .32 \
                                 1  2.4 .43]" );
  // Reduced model regression matrix. Contains the first 5
  // rows of regMat.
  RWGenMat<double> reducedRegMat( regMat(RWSlice(0,5),RWAll) );

  // Full model observation vector.
  RWMathVec<double> observationVec( "[12.3 15.6 22.3
                                      44.1 32.5 65.2]" );
  // Reduced model observation vector. Contains the first 5
  // elements of the full model observation vector.
  RWMathVec<double> reducedObservationVec(
                                observationVec(RWSlice(0,5)) );

  RWLeastSqQRCalc calcObject;
  // Set the base calculation for the parameter calculation
  // object to the reduced regression matrix.
  calcObject.setBaseCalc( reducedRegMat,
                          reducedObservationVec );
  if ( calcObject.fail() )
  {
    cout << "Parameter calculation for reduced model failed" <<
            endl;
    return 1;
  }
  cout << "Parameters for reduced model:" <<
          calcObject.parameters() << endl;

  // Add the observation contained in the last row of the full
  // model regression matrix using the data change class
  // RWAddObservations.
  RWAddObservations<double,double> dataChange( regMat,
                                         observationVec, 1 );
  calcObject.addObsToBaseCalc( dataChange );

  if ( calcObject.fail() )
  {
    cout << "Parameter calculation for full model failed" <<
            endl;
    return 1;
  }
  cout << "Parameters for full model:" <<
          calcObject.parameters() << endl;
  return 0;
}

Constructor & Destructor Documentation

template<class T, class S>

RWAddObservations< T, S >::RWAddObservations ( )

inline

Default constructor. Constructs an empty RWAddObservations object.

template<class T, class S>

RWAddObservations< T, S >::RWAddObservations ( const RWAddObservations< T, S > &  a )

inline

Copy constructor. Constructs a copy of a.

template<class T, class S>

RWAddObservations< T, S >::RWAddObservations ( const RWGenMat< T > &  r, const RWMathVec< S >  o, size_t  numAdded, bool  setBaseToLast = false  )

inline

Constructs an RWAddObservations object with the given regression matrix and observation vector. It assumes that the matrix r is obtained from the base calculations regression matrix by appending numAdded rows, and that the observation vector o is obtained from the base calculations by appending numAdded values. If setBaseToLast is true, the base calculations regression matrix is set to r.

Member Function Documentation

template<class T, class S>

int RWAddObservations< T, S >::numAdded ( ) const

inline

Returns the number of observations added.

template<class T, class S>

void RWAddObservations< T, S >::setNumAdded ( int  na )

inline

Sets the number of observations added.