RWAddObservations< T, S > Class Template Reference
[Parameter Calculation]

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

#include <rw/analytics/regcalc.h>

Inheritance diagram for RWAddObservations< T, S >:

List of all members.

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)

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Detailed Description

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

Class RWAddObservations<T,S> 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;

Examples

 #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;
 }

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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.

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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.