RWRemoveObservations<T,S>

Does not inherit 

• Local Index
• Synopsis
• Description
• Example
• Public Constructors
• Public Member Functions

Members

baseToLast() newObservationVec() newRegressionMat()

numRemoved() RWRemoveObservations() setBaseToLast()

setNewObservationVec() setNewRegressionMat() setNumRemoved()

setStartIndex() startIndex()

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

RWRemoveObservations<T,S> holds information regarding the removal of observations from 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 object's base calculation with the observations removed.

• The new observation vector. This is assumed to be the observation vector used in the parameter calculation object's base calculation with the observations removed.

• The observations removed in the form of a starting index and number to remove.

#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 five
  // 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 full regression matrix.
  calcObject.setBaseCalc( regMat, observationVec );
  if ( calcObject.fail() )
  {
    cout << "Parameter calculation for full model failed" <<
            endl;
    return 1;
  }
  cout << "Parameters for full model:" <<
          calcObject.parameters() << endl;

  // Remove the observation contained in the last row of the 
  // full model regression matrix using the data change class 
  // RWRemoveObservations. The row to remove is indicated as
  // "beginning at index 2, remove 1 row."
  RWRemoveObservations<double,double> dataChange( reducedRegMat,
                           reducedObservationVec, 2, 1 );
  calcObject.removeObsFromBaseCalc( dataChange );

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

RWRemoveObservations();

Default constructor. Constructs an empty RWRemoveObservations object.

RWRemoveObservations(const RWRemoveObservations<T,S>& r);

Copy constructor. Constructs a copy of r.

RWRemoveObservations(const RWGenMat<T>& r,
     const RWMathVec<S> o, size_t startIndex,
     size_t numRemoved,
     bool setBaseToLast = false);

Constructs an RWRemoveObservations object with the given regression matrix and observation vector. It assumes that the matrix r is obtained from the base calculations regression matrix by deleting numToRemove rows beginning with index startIndex, and that the observation vector o is obtained from the base calculation by deleting numToRemove values beginning with index startIndex. If setBaseToLast is true, the base calculations regression matrix is set to r.

bool 
baseToLast();

Returns true if the base calculation is to set to the new regression matrix and new observation vector.

const RWMathVec<S>& 
newObservationVec() const;

Returns the new observation vector.

const RWGenMat<T>& 
newRegressionMat() const;

Returns the new regression matrix.

size_t 
numRemoved() const;

Returns the number of observations removed.

void 
setBaseToLast(bool s);

Sets the base to last option to s.

void 
setNewObservationVec(const RWMathVec<S>& o);

Sets the new observation to o.

void 
setNewRegressionMat(const RWGenMat<T>& r); 

Sets the new regression matrix to r.

void   
setNumRemoved(size_t nr); 

Sets the number of observations to remove.

void   
setStartIndex(size_t i);

Sets the starting index.

size_t 
startIndex() const;

Returns the starting index.

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