Various statistics related methods for the statistics framework. More...

#include <StatisticsUtilities.h>

Public Member Functions
	StatisticsUtilities ()=delete

	~StatisticsUtilities ()

Static Public Member Functions
static void	accumulate (Double &npts, AccumType &sum, AccumType &mean, const AccumType &datum)
	accumulate values. More...

static void	waccumulate (Double &npts, AccumType &sumweights, AccumType &wsum, AccumType &wmean, const AccumType &datum, const AccumType &weight)
	in order to optimize performance, no checking is done for the weight == 0 case callers should ensure that the weigth is not zero before calling this method, and shouldn't call this method if the weight is 0. More...

static void	accumulate (Double &npts, AccumType &sum, AccumType &mean, AccumType &nvariance, AccumType &sumsq, const AccumType &datum)

static void	waccumulate (Double &npts, AccumType &sumweights, AccumType &wsum, AccumType &wmean, AccumType &wnvariance, AccumType &wsumsq, const AccumType &datum, const AccumType &weight)
	wsumsq is the weighted sum of squares, sum(w_ix_ix_i) More...

template<class LocationType >
static void	accumulate (Double &npts, AccumType &sum, AccumType &mean, AccumType &nvariance, AccumType &sumsq, AccumType &datamin, AccumType &datamax, LocationType &minpos, LocationType &maxpos, const AccumType &datum, const LocationType &location)
	The assignment operator of class LocationType should use copy, not reference, semantics. More...

template<class LocationType , class DataType >
static void	accumulate (Double &npts, AccumType &sum, AccumType &mean, AccumType &nvariance, AccumType &sumsq, DataType &datamin, DataType &datamax, LocationType &minpos, LocationType &maxpos, const DataType &datum, const LocationType &location)

template<class LocationType >
static void	waccumulate (Double &npts, AccumType &sumofweights, AccumType &sum, AccumType &mean, AccumType &nvariance, AccumType &sumsq, AccumType &datamin, AccumType &datamax, LocationType &minpos, LocationType &maxpos, const AccumType &datum, const AccumType &weight, const LocationType &location)

template<class LocationType >
static Bool	doMax (AccumType &datamax, LocationType &maxpos, Bool isFirst, const AccumType &datum, const LocationType &location)
	return True if the max or min was updated, False otherwise. More...

template<class LocationType >
static Bool	doMin (AccumType &datamin, LocationType &minpos, Bool isFirst, const AccumType &datum, const LocationType &location)

static void	accumulateSym (Double &npts, AccumType &nvariance, AccumType &sumsq, const AccumType &datum, const AccumType &center)
	These versions are for symmetric accumulation about a specified center point. More...

static void	waccumulateSym (Double &npts, AccumType &sumweights, AccumType &wnvariance, AccumType &wsumsq, const AccumType &datum, const AccumType &weight, const AccumType &center)
	wsumsq is the weighted sum of squares, sum(w_ix_ix_i) More...

template<class LocationType >
static void	accumulateSym (Double &npts, AccumType &nvariance, AccumType &sumsq, AccumType &datamin, AccumType &datamax, LocationType &minpos, LocationType &maxpos, const AccumType &datum, const LocationType &location, const AccumType &center)
	`maxpos` and `minpos` refer to actual, not virtually created, data only. More...

template<class LocationType >
static void	waccumulateSym (Double &npts, AccumType &sumofweights, AccumType &nvariance, AccumType &sumsq, AccumType &datamin, AccumType &datamax, LocationType &minpos, LocationType &maxpos, const AccumType &datum, const AccumType &weight, const LocationType &location, const AccumType &center)

static void	convertToAbsDevMedArray (DataArray &myArray, AccumType median)
	convert in place by taking the absolute value of the difference of the std::vector and the median More...

static Bool	includeDatum (const AccumType &datum, typename DataRanges::const_iterator beginRange, typename DataRanges::const_iterator endRange, Bool isInclude)

static std::map< uInt64, AccumType >	indicesToValues (std::vector< AccumType > &myArray, const std::set< uInt64 > &indices)
	The array can be changed by partially sorting it up to the largest index. More...

static void	mergeResults (std::vector< BinCountArray > &bins, std::vector< CountedPtr< AccumType > > &sameVal, std::vector< Bool > &allSame, const PtrHolder< std::vector< BinCountArray >> &tBins, const PtrHolder< std::vector< CountedPtr< AccumType >>> &tSameVal, const PtrHolder< std::vector< Bool >> &tAllSame, uInt nThreadsMax)

static StatsData< AccumType >	combine (const std::vector< StatsData< AccumType >> &stats)
	use two statistics sets to get the statistics set that would result in combining the two data sets used to produce the individual statistics sets. More...

template<class DataIterator , class MaskIterator , class WeightsIterator >
static uInt	nThreadsMax (const StatsDataProvider< CASA_STATP > *const dataProvider)

static uInt	threadIdx ()

Static Private Attributes
static const AccumType	TWO

Detailed Description

template<class AccumType>
class casacore::StatisticsUtilities< AccumType >

Various statistics related methods for the statistics framework.

Definition at line 46 of file StatisticsUtilities.h.

Constructor & Destructor Documentation

template<class AccumType >

casacore::StatisticsUtilities< AccumType >::StatisticsUtilities ( )

delete

template<class AccumType >

casacore::StatisticsUtilities< AccumType >::~StatisticsUtilities ( )

inline

Definition at line 51 of file StatisticsUtilities.h.

Member Function Documentation

template<class AccumType >

static void casacore::StatisticsUtilities< AccumType >::accumulate	(	Double &	npts,
		AccumType &	sum,
		AccumType &	mean,
		const AccumType &	datum
	)

inlinestatic

accumulate values.

It is the responsibility of the caller to keep track of the accumulated values after each call. This class does not since it has no state. The accumulation derivation for mean and variance can be found at www.itl.nist.gov/div898/software/dataplot/refman2/ch2/weighvar.pdf nvariance is an accumulated value. It is related to the variance via variance = nvariance/npts or nvariance/(npts-1) depending on your preferred definition in the non-weighted case and wvariance = wnvariance/sumofweights or wnvariance/(sumofweights-1) in the weighted case Its basic definition is nvariance = sum((x_i - mean)**2), wnvariance = sum((weight_i*(x_i - mean)**2) npts is a Double rather than an Int64 because of compilation issues when T is a Complex

template<class AccumType >

static void casacore::StatisticsUtilities< AccumType >::accumulate	(	Double &	npts,
		AccumType &	sum,
		AccumType &	mean,
		AccumType &	nvariance,
		AccumType &	sumsq,
		const AccumType &	datum
	)

inlinestatic

template<class AccumType >

template<class LocationType >

static void casacore::StatisticsUtilities< AccumType >::accumulate	(	Double &	npts,
		AccumType &	sum,
		AccumType &	mean,
		AccumType &	nvariance,
		AccumType &	sumsq,
		AccumType &	datamin,
		AccumType &	datamax,
		LocationType &	minpos,
		LocationType &	maxpos,
		const AccumType &	datum,
		const LocationType &	location
	)

inlinestatic

The assignment operator of class LocationType should use copy, not reference, semantics.

template<class AccumType >

template<class LocationType , class DataType >

static void casacore::StatisticsUtilities< AccumType >::accumulate	(	Double &	npts,
		AccumType &	sum,
		AccumType &	mean,
		AccumType &	nvariance,
		AccumType &	sumsq,
		DataType &	datamin,
		DataType &	datamax,
		LocationType &	minpos,
		LocationType &	maxpos,
		const DataType &	datum,
		const LocationType &	location
	)

inlinestatic

template<class AccumType >

static void casacore::StatisticsUtilities< AccumType >::accumulateSym	(	Double &	npts,
		AccumType &	nvariance,
		AccumType &	sumsq,
		const AccumType &	datum,
		const AccumType &	center
	)

inlinestatic

These versions are for symmetric accumulation about a specified center point.

The actual point is accumulated, as is a "virtual" point that is symmetric about the specified center. Of course, the trivial relationship that the mean is the specified center is used to simplify things

template<class AccumType >

template<class LocationType >

static void casacore::StatisticsUtilities< AccumType >::accumulateSym	(	Double &	npts,
		AccumType &	nvariance,
		AccumType &	sumsq,
		AccumType &	datamin,
		AccumType &	datamax,
		LocationType &	minpos,
		LocationType &	maxpos,
		const AccumType &	datum,
		const LocationType &	location,
		const AccumType &	center
	)

inlinestatic

maxpos and minpos refer to actual, not virtually created, data only.

template<class AccumType >

static StatsData<AccumType> casacore::StatisticsUtilities< AccumType >::combine ( const std::vector< StatsData< AccumType >> & stats )

static

use two statistics sets to get the statistics set that would result in combining the two data sets used to produce the individual statistics sets.

The quantile related stats are not considered, since it is not in general possible to determine the resultant quantiles from the information provided; only the aggregate statistics make sense.

template<class AccumType >

static void casacore::StatisticsUtilities< AccumType >::convertToAbsDevMedArray	(	DataArray &	myArray,
		AccumType	median
	)

inlinestatic

convert in place by taking the absolute value of the difference of the std::vector and the median

template<class AccumType >

template<class LocationType >

static Bool casacore::StatisticsUtilities< AccumType >::doMax	(	AccumType &	datamax,
		LocationType &	maxpos,
		Bool	isFirst,
		const AccumType &	datum,
		const LocationType &	location
	)

inlinestatic

return True if the max or min was updated, False otherwise.

template<class AccumType >

template<class LocationType >

static Bool casacore::StatisticsUtilities< AccumType >::doMin	(	AccumType &	datamin,
		LocationType &	minpos,
		Bool	isFirst,
		const AccumType &	datum,
		const LocationType &	location
	)

inlinestatic

template<class AccumType >

static Bool casacore::StatisticsUtilities< AccumType >::includeDatum	(	const AccumType &	datum,
		typename DataRanges::const_iterator	beginRange,
		typename DataRanges::const_iterator	endRange,
		Bool	isInclude
	)

inlinestatic

template<class AccumType >

static std::map<uInt64, AccumType> casacore::StatisticsUtilities< AccumType >::indicesToValues	(	std::vector< AccumType > &	myArray,
		const std::set< uInt64 > &	indices
	)

static

The array can be changed by partially sorting it up to the largest index.

Return a map of index to value in the sorted array.

template<class AccumType >

static void casacore::StatisticsUtilities< AccumType >::mergeResults	(	std::vector< BinCountArray > &	bins,
		std::vector< CountedPtr< AccumType > > &	sameVal,
		std::vector< Bool > &	allSame,
		const PtrHolder< std::vector< BinCountArray >> &	tBins,
		const PtrHolder< std::vector< CountedPtr< AccumType >>> &	tSameVal,
		const PtrHolder< std::vector< Bool >> &	tAllSame,
		uInt	nThreadsMax
	)

static

template<class AccumType >

template<class DataIterator , class MaskIterator , class WeightsIterator >

static uInt casacore::StatisticsUtilities< AccumType >::nThreadsMax ( const StatsDataProvider< CASA_STATP > *const dataProvider )

static

template<class AccumType >

static uInt casacore::StatisticsUtilities< AccumType >::threadIdx ( )

static

template<class AccumType >

static void casacore::StatisticsUtilities< AccumType >::waccumulate	(	Double &	npts,
		AccumType &	sumweights,
		AccumType &	wsum,
		AccumType &	wmean,
		const AccumType &	datum,
		const AccumType &	weight
	)

inlinestatic

in order to optimize performance, no checking is done for the weight == 0 case callers should ensure that the weigth is not zero before calling this method, and shouldn't call this method if the weight is 0.

Expect a segfault because of division by zero if sumweights and weight are both zero.

template<class AccumType >

static void casacore::StatisticsUtilities< AccumType >::waccumulate	(	Double &	npts,
		AccumType &	sumweights,
		AccumType &	wsum,
		AccumType &	wmean,
		AccumType &	wnvariance,
		AccumType &	wsumsq,
		const AccumType &	datum,
		const AccumType &	weight
	)

inlinestatic

wsumsq is the weighted sum of squares, sum(w_i*x_i*x_i)

template<class AccumType >

template<class LocationType >

static void casacore::StatisticsUtilities< AccumType >::waccumulate	(	Double &	npts,
		AccumType &	sumofweights,
		AccumType &	sum,
		AccumType &	mean,
		AccumType &	nvariance,
		AccumType &	sumsq,
		AccumType &	datamin,
		AccumType &	datamax,
		LocationType &	minpos,
		LocationType &	maxpos,
		const AccumType &	datum,
		const AccumType &	weight,
		const LocationType &	location
	)

inlinestatic

template<class AccumType >

static void casacore::StatisticsUtilities< AccumType >::waccumulateSym	(	Double &	npts,
		AccumType &	sumweights,
		AccumType &	wnvariance,
		AccumType &	wsumsq,
		const AccumType &	datum,
		const AccumType &	weight,
		const AccumType &	center
	)

inlinestatic

wsumsq is the weighted sum of squares, sum(w_i*x_i*x_i)

template<class AccumType >

template<class LocationType >

static void casacore::StatisticsUtilities< AccumType >::waccumulateSym	(	Double &	npts,
		AccumType &	sumofweights,
		AccumType &	nvariance,
		AccumType &	sumsq,
		AccumType &	datamin,
		AccumType &	datamax,
		LocationType &	minpos,
		LocationType &	maxpos,
		const AccumType &	datum,
		const AccumType &	weight,
		const LocationType &	location,
		const AccumType &	center
	)

inlinestatic

Member Data Documentation

template<class AccumType >

const AccumType casacore::StatisticsUtilities< AccumType >::TWO

staticprivate

Definition at line 219 of file StatisticsUtilities.h.

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

scimath/StatsFramework/StatisticsUtilities.h

Public Member Functions

Static Public Member Functions

Static Private Attributes

Detailed Description

template<class AccumType> class casacore::StatisticsUtilities< AccumType >

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class AccumType>
class casacore::StatisticsUtilities< AccumType >