Description

Base class for histogram-like density estimation classes.

DEPRECATED CLASS, do not use for new classes.

For the histogram classes, you need to specify the number of bins and the range. Range can either be set explicitly or you can choose automatic range determination.

Automatic range estimation works in the following way:

The first numPrecollect observations are stored.
After having collected a given number of observations, the actual histogram is set up. The range (min, max) of the initial values is expanded rangeExtensionFactoror times, and the result will become the histogram's range (rangeMin, rangeMax). Based on the range, the bins are layed out.
Then the initial values that have been stored up to this point will be transferred into the new histogram structure and their store is deleted – this is done by the setUpBins() function.

You may also explicitly specify the lower or upper limit and have the other end of the range estimated automatically. The setRange...() member functions of cPrecollectionBasedDensityEst deal with setting up the histogram range. It also provides pure virtual functions setUpBins() etc.

Subsequent observations are placed in the histogram structure. If an observation falls out of the histogram range, the underflow or overflow counter is incremented.

Inheritance diagram for cPrecollectionBasedDensityEst:

[legend]

Public Types
enum	RangeMode
	Constants for histogram range_mode. More...

Public Member Functions
Constructors, destructor, assignment.
	cPrecollectionBasedDensityEst (const cPrecollectionBasedDensityEst &other)

	cPrecollectionBasedDensityEst (const char *name=nullptr, bool weighted=false)

virtual	~cPrecollectionBasedDensityEst ()

cPrecollectionBasedDensityEst &	operator= (const cPrecollectionBasedDensityEst &res)

Redefined cObject member functions.
virtual void	parsimPack (cCommBuffer *buffer) const override

virtual void	parsimUnpack (cCommBuffer *buffer) override

Redefined cStatistic member functions.
virtual void	collect (double value) override

virtual void	collectWeighted (double value, double weight) override

virtual void	merge (const cStatistic *other) override

virtual void	clear () override

virtual void	saveToFile (FILE *) const override

virtual void	loadFromFile (FILE *) override

virtual void	collect (double value)=0

virtual void	collect (SimTime value)

virtual void	collectWeighted (double value, double weight)

virtual void	collectWeighted (SimTime value, double weight)

virtual void	collectWeighted (double value, SimTime weight)

virtual void	collectWeighted (SimTime value, SimTime weight)

Redefined methods
virtual bool	binsAlreadySetUp () const override

virtual int64_t	getNumUnderflows () const override

virtual int64_t	getNumOverflows () const override

virtual double	getUnderflowSumWeights () const override

virtual double	getOverflowSumWeights () const override

virtual int64_t	getNumNegInfs () const override

virtual int64_t	getNumPosInfs () const override

virtual double	getNegInfSumWeights () const override

virtual double	getPosInfSumWeights () const override

Public Member Functions inherited from cAbstractHistogram
	cAbstractHistogram (const cAbstractHistogram &other)=default

	cAbstractHistogram (const char *name=nullptr, bool weighted=false)

virtual	~cAbstractHistogram ()

cAbstractHistogram &	operator= (const cAbstractHistogram &res)

virtual cAbstractHistogram *	dup () const override

virtual void	setUpBins ()=0

virtual std::vector< double >	getBinEdges () const

virtual std::vector< double >	getBinValues () const

virtual int	getNumBins () const =0

virtual double	getBinEdge (int k) const =0

virtual double	getBinValue (int k) const =0

virtual double	getBinPDF (int k) const

virtual Bin	getBinInfo (int k) const

virtual double	getPDF (double x) const

virtual double	getCDF (double x) const

virtual double	draw () const override

Public Member Functions inherited from cStdDev
	cStdDev (const cStdDev &r)

	cStdDev (const char *name=nullptr, bool weighted=false)

virtual	~cStdDev ()

cStdDev &	operator= (const cStdDev &res)

virtual std::string	str () const override

virtual bool	isWeighted () const override

virtual int64_t	getCount () const override

virtual double	getSum () const override

virtual double	getSqrSum () const override

virtual double	getMin () const override

virtual double	getMax () const override

virtual double	getMean () const override

virtual double	getStddev () const override

virtual double	getVariance () const override

virtual double	getSumWeights () const override

virtual double	getWeightedSum () const override

virtual double	getSqrSumWeights () const override

virtual double	getWeightedSqrSum () const override

virtual void	collect (double value)=0

virtual void	collect (SimTime value)

virtual void	collectWeighted (double value, double weight)

virtual void	collectWeighted (SimTime value, double weight)

virtual void	collectWeighted (double value, SimTime weight)

virtual void	collectWeighted (SimTime value, SimTime weight)

Public Member Functions inherited from cStatistic
	cStatistic (const cStatistic &r)

	cStatistic (const char *name=nullptr)

virtual	~cStatistic ()

cStatistic &	operator= (const cStatistic &res)

virtual void	collect (SimTime value)

virtual void	collectWeighted (SimTime value, double weight)

virtual void	collectWeighted (double value, SimTime weight)

virtual void	collectWeighted (SimTime value, SimTime weight)

virtual void	record ()

virtual void	recordWithUnit (const char *unit)

virtual void	recordAs (const char name, const char unit=nullptr)

Public Member Functions inherited from cRandom
	cRandom (cRNG *rng)

	cRandom (const char name=nullptr, cRNG rng=nullptr)

virtual	~cRandom ()

virtual void	setRNG (cRNG *rng)

cRNG *	getRNG () const

Public Member Functions inherited from cOwnedObject
	cOwnedObject ()

	cOwnedObject (const char *name, bool namepooling=true)

	cOwnedObject (const cOwnedObject &obj)

virtual	~cOwnedObject ()

cOwnedObject &	operator= (const cOwnedObject &o)

virtual cObject *	getOwner () const override

virtual bool	isOwnedObject () const override

Public Member Functions inherited from cNamedObject
	cNamedObject ()

	cNamedObject (const char *name, bool namepooling=true)

	cNamedObject (const cNamedObject &obj)

virtual	~cNamedObject ()

cNamedObject &	operator= (const cNamedObject &o)

virtual void	setName (const char *s)

virtual const char *	getName () const override

virtual void	setNamePooling (bool b)

virtual bool	getNamePooling ()

Public Member Functions inherited from cObject
	cObject ()

	cObject (const cObject &other)=default

virtual	~cObject ()

virtual const char *	getClassName () const

bool	isName (const char *s) const

virtual const char *	getFullName () const

virtual std::string	getFullPath () const

virtual std::string	getClassAndFullName () const

virtual std::string	getClassAndFullPath () const

const cObject *	getThisPtr () const

virtual std::ostream &	printOn (std::ostream &os) const

virtual bool	isSoftOwner () const

virtual void	forEachChild (cVisitor *v)

cObject *	findObject (const char *name, bool deep=true)

virtual cClassDescriptor *	getDescriptor () const

void	copyNotSupported () const

Selecting the method of setting up the histogram range.
virtual void	setupRange ()

virtual void	collectIntoHistogram (double value)=0

virtual void	collectWeightedIntoHistogram (double value, double weight)=0

virtual void	setRange (double lower, double upper)

virtual void	setRangeAuto (int numPrecollect=100, double rangeExtensionFactor=2.0)

virtual void	setRangeAutoLower (double upper, int numPrecollect=100, double rangeExtensionFactor=2.0)

virtual void	setRangeAutoUpper (double lower, int numPrecollect=100, double rangeExtensionFactor=2.0)

virtual void	setNumPrecollectedValues (int numPrecollect)

virtual int	getNumPrecollectedValues () const

virtual double	getRangeExtensionFactor () const

Additional Inherited Members
Static Public Member Functions inherited from cOwnedObject
static long	getTotalObjectCount ()

static long	getLiveObjectCount ()

static void	resetObjectCounters ()

static cSoftOwner *	getOwningContext ()

Protected Member Functions inherited from cObject
virtual void	take (cOwnedObject *obj)

virtual void	drop (cOwnedObject *obj)

void	dropAndDelete (cOwnedObject *obj)

Member Enumeration Documentation

◆ RangeMode

enum RangeMode

Constants for histogram range_mode.

Constructor & Destructor Documentation

◆ cPrecollectionBasedDensityEst() [1/2]

cPrecollectionBasedDensityEst ( const cPrecollectionBasedDensityEst & other )

inline

Copy constructor.

◆ cPrecollectionBasedDensityEst() [2/2]

cPrecollectionBasedDensityEst	(	const char *	name = `nullptr`,
		bool	weighted = `false`
	)

explicit

Constructor.

◆ ~cPrecollectionBasedDensityEst()

virtual ~cPrecollectionBasedDensityEst ( )

virtual

Destructor.

Member Function Documentation

◆ operator=()

cPrecollectionBasedDensityEst& operator= ( const cPrecollectionBasedDensityEst & res )

Assignment operator. The name member is not copied; see cNamedObject::operator=() for details.

◆ parsimPack()

virtual void parsimPack ( cCommBuffer * buffer ) const

overridevirtual

Serializes the object into an MPI send buffer. Used by the simulation kernel for parallel execution. See cObject for more details.

Reimplemented from cStdDev.

Reimplemented in cKSplit.

◆ parsimUnpack()

virtual void parsimUnpack ( cCommBuffer * buffer )

overridevirtual

Deserializes the object from an MPI receive buffer Used by the simulation kernel for parallel execution. See cObject for more details.

Reimplemented from cStdDev.

Reimplemented in cKSplit.

◆ collect() [1/3]

virtual void collect ( double value )

overridevirtual

Collects one value. In the precollection phase, this method simply adds the value to the table of pre-collected values. When the number of pre-collected observations reaches a limit, the setUpBins() method is called. After transformation, it calls collectIntoHistogram() to update the stored statistics with this value.

Reimplemented from cStdDev.

◆ collectWeighted() [1/5]

virtual void collectWeighted	(	double	value,
		double	weight
	)

overridevirtual

Collects one observation with a given weight. The weight must not be negative. (Zero-weight observations are allowed, but will not affect mean and stddev.)

Reimplemented from cStdDev.

◆ merge()

virtual void merge ( const cStatistic * other )

overridevirtual

Updates this object with data coming from another statistics object – as if this object had collected observations fed into the other object as well. Throws an error if the other object is not a cPrecollectionBasedDensityEst.

Reimplemented from cStdDev.

Reimplemented in cKSplit.

◆ clear()

virtual void clear ( )

overridevirtual

Clears the results collected so far.

Reimplemented from cStdDev.

Reimplemented in cKSplit.

◆ saveToFile()

virtual void saveToFile ( FILE * ) const

overridevirtual

Writes the contents of the object into a text file.

Reimplemented from cStdDev.

Reimplemented in cKSplit.

◆ loadFromFile()

virtual void loadFromFile ( FILE * )

overridevirtual

Reads the object data from a file, in the format written out by saveToFile().

Reimplemented from cStdDev.

Reimplemented in cKSplit.

◆ setRange()

virtual void setRange	(	double	lower,
		double	upper
	)

virtual

Sets the histogram range explicitly to [lower, upper]. When this method is used, setNumPrecollectedValues() is not needed.

◆ setRangeAuto()

virtual void setRangeAuto	(	int	numPrecollect = `100`,
		double	rangeExtensionFactor = `2.0`
	)

virtual

Selects a histogram range setup method where the range will be determined entirely from a set of pre-collected values.

When called, the histogram range will be determined from the first numPrecollect values, extending their range symmetrically by rangeExtensionFactor. For example, after a call to setRangeAuto(100, 1.3), the histogram will be set up after pre-collecting 100 values, the range being the range of the 100 pre-collected values extended 1.3 times symmetrically.

◆ setRangeAutoLower()

virtual void setRangeAutoLower	(	double	upper,
		int	numPrecollect = `100`,
		double	rangeExtensionFactor = `2.0`
	)

virtual

Selects a histogram range setup method where the upper bound of the range is fixed and the lower bound is determined from a set of pre-collected values.

The lower bound is calculated by extending the range (minimum of observations, upper) rangeExtensionFactor times.

◆ setRangeAutoUpper()

virtual void setRangeAutoUpper	(	double	lower,
		int	numPrecollect = `100`,
		double	rangeExtensionFactor = `2.0`
	)

virtual

Selects a histogram range setup method where the lower bound of the range is fixed and the upper bound is determined from a set of pre-collected values.

The upper bound is calculated by extending the range (lower, maximum of observations) rangeExtensionFactor times.

◆ setNumPrecollectedValues()

virtual void setNumPrecollectedValues ( int numPrecollect )

virtual

Sets the number of values to be pre-collected before transformation takes place. See setUpBins().

◆ getNumPrecollectedValues()

virtual int getNumPrecollectedValues ( ) const

inlinevirtual

Returns the number of values to be pre-collected before transformation takes place. See setUpBins().

◆ getRangeExtensionFactor()

virtual double getRangeExtensionFactor ( ) const

inlinevirtual

Returns the range extension factor, used with histogram range setup. See setRangeAuto() and setUpBins().

◆ setupRange()

virtual void setupRange ( )

protectedvirtual

Called internally by setUpBins(), this method should determine and set up the histogram range, based on the pre-collected data and the range setup method selected by calls to the setRange(), setRangeAuto(), setRangeAutoLower(), setRangeAutoUpper() methods.

◆ collectIntoHistogram()

virtual void collectIntoHistogram ( double value )

protectedpure virtual

Called internally by collect(), this method collects a value after the histogram bins have been set up. Updating the underflow/overflow bins must be handled within this function. This is a pure virtual function; it must be redefined in subclasses.

Implemented in cKSplit.

◆ collectWeightedIntoHistogram()

virtual void collectWeightedIntoHistogram	(	double	value,
		double	weight
	)

protectedpure virtual

Called internally by collect(), this method collects a value after the histogram bin have been set up. Updating the underflow/overflow bins must be handled within this function. This is a pure virtual function; it must be redefined in subclasses.

Implemented in cKSplit.

◆ binsAlreadySetUp()

virtual bool binsAlreadySetUp ( ) const

inlineoverridevirtual

Returns true if the histogram bins have already been set up. See setUpBins().

Implements cAbstractHistogram.

◆ getNumUnderflows()

virtual int64_t getNumUnderflows ( ) const

inlineoverridevirtual

Returns number of observations that were below the histogram range, independent of their weights.

Implements cAbstractHistogram.

◆ getNumOverflows()

virtual int64_t getNumOverflows ( ) const

inlineoverridevirtual

Returns number of observations that were above the histogram range, independent of their weights.

Implements cAbstractHistogram.

◆ getUnderflowSumWeights()

virtual double getUnderflowSumWeights ( ) const

inlineoverridevirtual

Returns the total weight of the observations that were below the histogram range.

Implements cAbstractHistogram.

◆ getOverflowSumWeights()

virtual double getOverflowSumWeights ( ) const

inlineoverridevirtual

Returns the total weight of the observations that were above the histogram range.

Implements cAbstractHistogram.

◆ getNumNegInfs()

virtual int64_t getNumNegInfs ( ) const

inlineoverridevirtual

Returns number of observations that were negative infinity, independent of their weights.

Implements cAbstractHistogram.

◆ getNumPosInfs()

virtual int64_t getNumPosInfs ( ) const

inlineoverridevirtual

Returns number of observations that were positive infinity, independent of their weights.

Implements cAbstractHistogram.

◆ getNegInfSumWeights()

virtual double getNegInfSumWeights ( ) const

inlineoverridevirtual

Returns the total weight of the observations that were negative infinity.

Implements cAbstractHistogram.

◆ getPosInfSumWeights()

virtual double getPosInfSumWeights ( ) const

inlineoverridevirtual

Returns the total weight of the observations that were positive infinity.

Implements cAbstractHistogram.

◆ collect() [2/3]

virtual void collect

Collects one value.

◆ collect() [3/3]

virtual void collect

inline

Convenience method, delegates to collect(double).

◆ collectWeighted() [2/5]

virtual void collectWeighted

Collects one value with a given weight.

◆ collectWeighted() [3/5]

virtual void collectWeighted

inline

Convenience method, delegates to collectWeighted(double, double).

◆ collectWeighted() [4/5]

virtual void collectWeighted

inline

Convenience method, delegates to collectWeighted(double, double).

◆ collectWeighted() [5/5]

virtual void collectWeighted

inline

Convenience method, delegates to collectWeighted(double, double).

The documentation for this class was generated from the following file:

cprecolldensityest.h

	OMNeT++ API 6.1 Discrete Event Simulation Library

Description

Public Types

Public Member Functions

Selecting the method of setting up the histogram range.

Additional Inherited Members

Member Enumeration Documentation

◆ RangeMode

Constructor & Destructor Documentation

◆ cPrecollectionBasedDensityEst() [1/2]

◆ cPrecollectionBasedDensityEst() [2/2]

◆ ~cPrecollectionBasedDensityEst()

Member Function Documentation

◆ operator=()

◆ parsimPack()

◆ parsimUnpack()

◆ collect() [1/3]

◆ collectWeighted() [1/5]

◆ merge()

◆ clear()

◆ saveToFile()

◆ loadFromFile()

◆ setRange()

◆ setRangeAuto()

◆ setRangeAutoLower()

◆ setRangeAutoUpper()

◆ setNumPrecollectedValues()

◆ getNumPrecollectedValues()

◆ getRangeExtensionFactor()

◆ setupRange()

◆ collectIntoHistogram()

◆ collectWeightedIntoHistogram()

◆ binsAlreadySetUp()

◆ getNumUnderflows()

◆ getNumOverflows()

◆ getUnderflowSumWeights()

◆ getOverflowSumWeights()

◆ getNumNegInfs()

◆ getNumPosInfs()

◆ getNegInfSumWeights()

◆ getPosInfSumWeights()

◆ collect() [2/3]

◆ collect() [3/3]

◆ collectWeighted() [2/5]

◆ collectWeighted() [3/5]

◆ collectWeighted() [4/5]

◆ collectWeighted() [5/5]