SourcePro® API Reference Guide

 
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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 >:
RWRegressionDataChange< 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:

Synopsis
#include <rw/analytics/regcalc.h>
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.
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.

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