Public Member Functions
Histogram2D Class Reference

Brief description of class still missing. More...

#include <Histogram2D.h>

Inheritance diagram for Histogram2D:
QGpCoreTools::IrregularGrid2D QGpCoreTools::XMLClass

List of all members.

Public Member Functions

void countSamples ()
 Histogram2D (int nx, int ny)
Curve< RealStatisticalPoint > meanCurve ()
Curve< RealStatisticalPoint > medianCurve ()
Curve< RealStatisticalPoint > modeCurve ()
void setSamples (const QVector< Sample > &s)
void setValid (const Rect &limits, bool v)
void setXSampling (double min, double max, SamplingOptions sampling)
void setYSampling (double min, double max, SamplingOptions sampling)
SamplingOptions xSampling () const
SamplingOptions ySampling () const
 ~Histogram2D ()

Detailed Description

Brief description of class still missing.

Full description of class still missing

Constructor & Destructor Documentation

Histogram2D::Histogram2D ( int  nx,
int  ny 
)

Description of constructor still missing

References QGpCoreTools::LinearScale, and TRACE.

    : IrregularGrid2D(nx, ny)
{
  TRACE;
  _xSampling=LinearScale;
  _ySampling=LinearScale;
}
Histogram2D::~Histogram2D ( )

Description of destructor still missing

References TRACE.

{
  TRACE;
}

Member Function Documentation

void Histogram2D::countSamples ( )

References QGpCoreTools::IrregularGrid2D::indexOfX(), QGpCoreTools::IrregularGrid2D::indexOfY(), QGpCoreTools::IrregularGrid2D::init(), Sample::isValid(), QGpCoreTools::IrregularGrid2D::nx(), QGpCoreTools::IrregularGrid2D::ny(), TRACE, QGpCoreTools::IrregularGrid2D::valuePointer(), QGpCoreTools::Point2D::x(), and QGpCoreTools::Point2D::y().

Referenced by setSamples().

{
  TRACE;
  init(0.0); // Reset all hit count to 0
  int ix, iy;
  QVector<Sample>::iterator it;
  if(nx()==1) {
    for(it=_samples.begin();it!=_samples.end();++it) {
      Sample& s=*it;
      if(s.isValid()) {
        iy=indexOfY(s.y());
        if(iy>-1 && iy<ny()) {
          //ASSERT(left(ix)<=s.x() && s.x()<=right(ix));
          //ASSERT(bottom(iy)<=s.y() && s.y()<=top(iy));
          (*valuePointer(0, iy))++;
        }
      }
    }
  } else {
    for(it=_samples.begin();it!=_samples.end();++it) {
      Sample& s=*it;
      if(s.isValid()) {
        ix=indexOfX(s.x());
        iy=indexOfY(s.y());
        if(ix>-1 && ix<nx() && iy>-1 && iy<ny()) {
          //ASSERT(left(ix)<=s.x() && s.x()<=right(ix));
          //ASSERT(bottom(iy)<=s.y() && s.y()<=top(iy));
          (*valuePointer(ix, iy))++;
        }
      }
    }
  }
}
Curve< RealStatisticalPoint > Histogram2D::meanCurve ( )

References QGpCoreTools::IrregularGrid2D::inverse(), QGpCoreTools::InversedScale, QGpCoreTools::IrregularGrid2D::log10(), QGpCoreTools::LogScale, QGpCoreTools::IrregularGrid2D::mean(), QGpCoreTools::IrregularGrid2D::normalize(), QGpCoreTools::IrregularGrid2D::nx(), QGpCoreTools::StatisticalValue< numberType >::setMean(), QGpCoreTools::StatisticalValue< numberType >::setStddev(), QGpCoreTools::StatisticalValue< numberType >::setWeight(), QGpCoreTools::StatisticalPoint< numberType >::setX(), QGpCoreTools::sqrt(), QGpCoreTools::IrregularGrid2D::sum(), TRACE, QGpCoreTools::IrregularGrid2D::variance(), QGpCoreTools::IrregularGrid2D::x(), and QGpCoreTools::YAxis.

Referenced by main().

{
  TRACE;
  IrregularGrid2D grid=*this;
  if(_ySampling & LogScale) grid.log10(YAxis);
  else if(_ySampling & InversedScale) grid.inverse(YAxis);

  Curve<RealStatisticalPoint> c(grid.nx());
  for(int i=0;i < grid.nx();i++ ) {
    RealStatisticalPoint& p=c[i];
    p.setX(grid.x(i));
    double normFactor=grid.normalize(YAxis, i);
    double a=grid.mean(YAxis, i);
    if(_ySampling & LogScale) {
      p.setMean(pow( 10.0, a) );
      p.setStddev(pow( 10.0, sqrt(grid.variance(YAxis, i, a) )) );
    } else if(_ySampling  & InversedScale) {
      p.setMean(1.0/a);
      p.setStddev(1.0/sqrt(grid.variance(YAxis, i, a) ));
    } else {
      p.setMean(a);
      p.setStddev(sqrt( grid.variance(YAxis, i, a) ));
    }
    p.setWeight(grid.sum(YAxis, i)*normFactor);
  }
  c.setFunction();
  return c;

}
Curve< RealStatisticalPoint > Histogram2D::medianCurve ( )

References QGpCoreTools::IrregularGrid2D::inverse(), QGpCoreTools::InversedScale, QGpCoreTools::IrregularGrid2D::log10(), QGpCoreTools::LogScale, QGpCoreTools::IrregularGrid2D::median(), QGpCoreTools::IrregularGrid2D::normalize(), QGpCoreTools::IrregularGrid2D::nx(), QGpCoreTools::StatisticalValue< numberType >::setMean(), QGpCoreTools::StatisticalValue< numberType >::setStddev(), QGpCoreTools::StatisticalValue< numberType >::setWeight(), QGpCoreTools::StatisticalPoint< numberType >::setX(), QGpCoreTools::sqrt(), QGpCoreTools::IrregularGrid2D::sum(), TRACE, QGpCoreTools::IrregularGrid2D::variance(), QGpCoreTools::IrregularGrid2D::x(), and QGpCoreTools::YAxis.

Referenced by main().

{
  TRACE;
  IrregularGrid2D grid=*this;
  if(_ySampling & LogScale) grid.log10(YAxis);
  else if(_ySampling & InversedScale) grid.inverse(YAxis);

  Curve<RealStatisticalPoint> c(grid.nx());
  for(int i=0;i < grid.nx();i++ ) {
    RealStatisticalPoint& p=c[i];
    p.setX(grid.x(i));
    double normFactor=grid.normalize(YAxis, i);
    double a=grid.median(YAxis, i);
    if(_ySampling & LogScale) {
      p.setMean(pow( 10.0, a) );
      p.setStddev(pow( 10.0, sqrt(grid.variance(YAxis, i, a) )) );
    } else if(_ySampling  & InversedScale) {
      p.setMean(1.0/a);
      p.setStddev(1.0/sqrt(grid.variance(YAxis, i, a) ));
    } else {
      p.setMean(a);
      p.setStddev(sqrt( grid.variance(YAxis, i, a) ));
    }
    p.setWeight(grid.sum(YAxis, i)*normFactor);
  }
  c.setFunction();
  return c;
}
Curve< RealStatisticalPoint > Histogram2D::modeCurve ( )

References QGpCoreTools::IrregularGrid2D::inverse(), QGpCoreTools::InversedScale, QGpCoreTools::IrregularGrid2D::log10(), QGpCoreTools::LogScale, QGpCoreTools::IrregularGrid2D::mode(), QGpCoreTools::IrregularGrid2D::normalize(), QGpCoreTools::IrregularGrid2D::nx(), QGpCoreTools::StatisticalValue< numberType >::setMean(), QGpCoreTools::StatisticalValue< numberType >::setStddev(), QGpCoreTools::StatisticalValue< numberType >::setWeight(), QGpCoreTools::StatisticalPoint< numberType >::setX(), QGpCoreTools::sqrt(), QGpCoreTools::IrregularGrid2D::sum(), TRACE, QGpCoreTools::IrregularGrid2D::variance(), QGpCoreTools::IrregularGrid2D::x(), and QGpCoreTools::YAxis.

Referenced by main().

{
  TRACE;
  IrregularGrid2D grid=*this;
  if(_ySampling & LogScale) grid.log10(YAxis);
  else if(_ySampling & InversedScale) grid.inverse(YAxis);

  Curve<RealStatisticalPoint> c(grid.nx());
  for(int i=0;i < grid.nx();i++ ) {
    RealStatisticalPoint& p=c[i];
    p.setX(grid.x(i));
    double normFactor=grid.normalize(YAxis, i);
    double a=grid.mode(YAxis, i);
    if(_ySampling & LogScale) {
      p.setMean(pow( 10.0, a) );
      p.setStddev(pow( 10.0, sqrt(grid.variance(YAxis, i, a) )) );
    } else if(_ySampling  & InversedScale) {
      p.setMean(1.0/a);
      p.setStddev(1.0/sqrt(grid.variance(YAxis, i, a) ));
    } else {
      p.setMean(a);
      p.setStddev(sqrt( grid.variance(YAxis, i, a) ));
    }
    p.setWeight(grid.sum(YAxis, i)*normFactor);
  }
  c.setFunction();
  return c;
}
void Histogram2D::setSamples ( const QVector< Sample > &  s)

References countSamples(), and TRACE.

Referenced by HistogramReader::histogram().

{
  TRACE;
  _samples=s;
  countSamples();
}
void Histogram2D::setValid ( const Rect &  limits,
bool  v 
)

References QGpCoreTools::Rect::includes(), QGpCoreTools::Rect::printDebug(), Sample::setValid(), and TRACE.

{
  TRACE;
  limits.printDebug();
  QVector<Sample>::iterator it;
  for(it=_samples.begin();it!=_samples.end();++it) {
    Sample& s=*it;
    if(limits.includes(s)) {
      s.setValid(v);
    }
  }
}
void Histogram2D::setXSampling ( double  min,
double  max,
SamplingOptions  sampling 
)

References QGpCoreTools::Function, QGpCoreTools::Curve< pointType >::line(), QGpCoreTools::IrregularGrid2D::nx(), QGpCoreTools::Curve< pointType >::resample(), QGpCoreTools::IrregularGrid2D::setX(), TRACE, and QGpCoreTools::Curve< pointType >::xVector().

Referenced by HistogramReader::histogram().

{
  TRACE;
  _xSampling=sampling;
  Curve<Point1D> c;
  c.line(min, max);
  c.resample(nx(), min, max, _xSampling | Function);
  QVector<double> values=c.xVector();
  for(int i=0; i<nx(); i++ ) setX(i, values[i] );
}
void Histogram2D::setYSampling ( double  min,
double  max,
SamplingOptions  sampling 
)

References QGpCoreTools::Function, QGpCoreTools::Curve< pointType >::line(), QGpCoreTools::IrregularGrid2D::ny(), QGpCoreTools::Curve< pointType >::resample(), QGpCoreTools::IrregularGrid2D::setY(), TRACE, and QGpCoreTools::Curve< pointType >::xVector().

Referenced by HistogramReader::histogram().

{
  TRACE;
  _ySampling=sampling;
  Curve<Point1D> c;
  c.line(min, max);
  c.resample(ny(), min, max, _ySampling | Function);
  QVector<double> values=c.xVector();
  for(int i=0; i<ny(); i++ ) setY(i, values[i] );
}
SamplingOptions Histogram2D::xSampling ( ) const [inline] 
{return _xSampling;}
SamplingOptions Histogram2D::ySampling ( ) const [inline] 
{return _ySampling;}
The documentation for this class was generated from the following files:
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Modified 2013-10-22

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