| Member Functions | |||
| baseToLast() newObservationVec() newRegressionMat() |
numRemoved() 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,
RWBoolean 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.
RWBoolean 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(RWBoolean 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.
©Copyright 1999, Rogue Wave Software, Inc.
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