Public Types
enum	Type { unknown = -1, min = 0, max, range, nmin, nmax, mean, median, sum, stdDev, variance, rms, stdDevMAD, minority, majority, pdens, pcount, quantile, shannonEntropy, quadraticEntropy, center, rank, posOpenness, negOpenness, pdist, null, Count }
	Enumeration defining different cell feature types (used by opalsCell) More...

enum	Mode { undefined = 0, accumulative, selective, selectiveUpper = selective, selectiveLower }

Public Member Functions
	StatFeature (Type type, Mode m=Mode::undefined)
	depending on type, m is ignored.

	StatFeature (Type type, unsigned n)
	only for nmin and nmax

	StatFeature (Type type, double pOrBinWidth, Mode m=Mode::accumulative)
	only for quantile, minority, majority, shannonEntropy, quadraticEntropy. m is ignored except for Type::quantile

Type	featureType () const

unsigned	n () const

double	p () const

double	binWidth () const

Mode	mode () const

void	featureType (const Type &Ire_featureType)

void	n (const unsigned &Iru_n)

void	p (const double &Ird_p)

void	binWidth (const double &Ird_binWidth)

void	mode (const Mode &m)

unsigned	minCount () const
	returns minimum number of elements needed to be computable

Member Enumeration Documentation

◆ Type

enum Type

Enumeration defining different cell feature types (used by opalsCell)

Used for indexing. Hence unscoped, with implicit conversion to int.

Enumerator
min	lowest
max	highest
range	difference between highest and lowest
nmin	n lowest
nmax	n highest
mean	mean
median	median
sum	sum
stdDev	standard deviation \(\sqrt{\sum_{i=1}^{N}(r_i - \bar{r})^2 / (N-1) }\)
variance	(sample) variance \(\sum_{i=1}^{N}(r_i - \bar{r})^2 / (N-1)\)
rms	root mean square \(\sqrt{\sum_{i=1}^{N} r_i^2 / N}\)
stdDevMAD	robust standard deviation estimator computed from the median of absolute deviations from the median \(1.4826 \cdot median_i(\left\|r_i - median_j(r_j)\right\|)\). In literature this robust estimator is often referred to as normalized MAD (NMAD)
minority	the class with the lowest relative frequency (histogram based)
majority	the class with the highest relative frequency (histogram based)
pdens	point density
pcount	point count
quantile	p-quantile (p=0..1)
shannonEntropy	shannon entropy, measure of information content
quadraticEntropy	quadratic entropy, measure of information content
center	select closest to cell center
rank	quantile rank [0..100]
posOpenness	positive openness
negOpenness	negative openness
pdist	average linear point distance (see DM::ILinearDistance2D for details)
null	representing void feature
Count	number of available StatFeatures