stats Namespace Reference

Functions
auto	sum (A)
	Sum function.
auto	sumReciprocals (A)
	Sum of reciprocals function.
auto	sumSquares (A)
	Sum of squares function (or dot product with itself)
auto	sumOfSquares (A, m)
	Sum of squared deviations from the mean function (SS / SDM)
auto	dot (A, B)
	Dot product.
auto	prod (A)
	Product function.
auto	cumsum (A)
	Cumulative sum function.
auto	cumprod (A)
	Cumulative product function.
auto	mean (A, l)
	Arithmetic mean function (AM / M_1)
auto	harMean (A, l)
	Harmonic mean function (HM / M_-1)
auto	geoMean (A, l)
	Geometric mean function (GM / M_0)
auto	quadraticMean (A, l)
	Quadratic mean function (or root mean square) (QM/RMS / M_2)
auto	generalizedMean (A, n)
	Generalized mean function (M_n)
auto	mid (A, l)
	Middle element of an array. If there are 2, get the arithmetic mean of both.
auto	midLow (A, l)
	Middle element of an array. If there are 2, get the lower indexed one.
auto	midHigh (A, l)
	Middle element of an array. If there are 2, get the higher indexed one.
auto	median (A)
	Median function.
auto	medianLow (A)
	Median low function.
auto	medianHigh (A)
	Median high function.
auto	min (A)
	Minimum of an array.
auto	max (A)
	Maximum of an array.
auto	extrema (A, ex)
	Minimum and maximum of an array.
auto	range (A)
	Range function (maximum - minimum)
auto	midrange (A)
	Mid range function.
unassigned	mode (array A, array modes)
	Mode function.
unassigned	antimode (array A, array amodes)
	Antimode function.
auto	pvar (A, m, l)
	Population variance function.
auto	var (A, m, l)
	Sample variance function.
auto	psd (A, m, l)
	Population standard deviation function.
auto	sd (A, m, l)
	Sample standard deviation function.
auto	cv (A, m, s)
	Coefficient of variation.
auto	pcov (A, B, m1, m2)
	Population covariance function.
auto	cov (A, B, m1, m2)
	Sample covariance function.
auto	pcor (A, B)
	Population Pearson correlation function (PCC / rho)
auto	cor (A, B)
	Sample Pearson correlation function.
auto	pskewness (A, l)
	Population skewness function.
auto	skewness (A, m, s, l)
	Sample skewness function.
auto	pkurtosis (A, l)
	Population kurtosis function.
auto	kurtosis (A, m, s, l)
	Sample kurtosis function.
auto	_stat_push (s, x)
auto	stat_push (s, x)
	Update moment statistics to array "s" /**.
auto	stat_calc (s, stats)
	Update central moments statistics to array "s" mean: Arithmetic mean (1° moment) pvar: Population variance (2° central moment) var: Sample variance psd: Population standard deviation sd: Sample standard deviation pskewness: Population skewness (3° standardized moment) skewness: Sample skewness pkurtosis: Population kurtosis (4° standardized moment) kurtosis: Sample kurtosis More efficient than computing each one separately?

Function Documentation

_stat_push()

auto stats::_stat_push	(	s	,
		x	)

antimode()

unassigned stats::antimode	(	array	A,
		array	amodes )

Antimode function.

Parameters

[in]	A	Data array
[out]	amodes	Array to be filled with the antimodes

Returns

cor()

auto stats::cor	(	A	,
		B	)

Sample Pearson correlation function.

cov()

auto stats::cov	(	A	,
		B	,
		m1	,
		m2	)

Sample covariance function.

cumprod()

auto stats::cumprod

(

A

)

Cumulative product function.

Todo

not in-place version

cumsum()

auto stats::cumsum

(

A

)

Cumulative sum function.

Todo

not in-place version

cv()

auto stats::cv	(	A	,
		m	,
		s	)

Coefficient of variation.

dot()

auto stats::dot	(	A	,
		B	)

Dot product.

extrema()

auto stats::extrema	(	A	,
		ex	)

Minimum and maximum of an array.

generalizedMean()

auto stats::generalizedMean	(	A	,
		n	)

Generalized mean function (M_n)

geoMean()

auto stats::geoMean	(	A	,
		l	)

Geometric mean function (GM / M_0)

harMean()

auto stats::harMean	(	A	,
		l	)

Harmonic mean function (HM / M_-1)

kurtosis()

auto stats::kurtosis	(	A	,
		m	,
		s	,
		l	)

Sample kurtosis function.

max()

auto stats::max

(

A

)

Maximum of an array.

mean()

auto stats::mean	(	A	,
		l	)

Arithmetic mean function (AM / M_1)

median()

auto stats::median

(

A

)

Median function.

medianHigh()

auto stats::medianHigh

(

A

)

Median high function.

medianLow()

auto stats::medianLow

(

A

)

Median low function.

mid()

auto stats::mid	(	A	,
		l	)

Middle element of an array. If there are 2, get the arithmetic mean of both.

Note

assuming indexed starting at 1, no gaps

Todo

don't make assumptions, maybe asorti() first

midHigh()

auto stats::midHigh	(	A	,
		l	)

Middle element of an array. If there are 2, get the higher indexed one.

Note

assuming indexed starting at 1, no gaps

midLow()

auto stats::midLow	(	A	,
		l	)

Middle element of an array. If there are 2, get the lower indexed one.

Note

assuming indexed starting at 1, no gaps

midrange()

auto stats::midrange

(

A

)

Mid range function.

min()

auto stats::min

(

A

)

Minimum of an array.

mode()

unassigned stats::mode	(	array	A,
		array	modes )

Mode function.

Parameters

[in]	A	Data array
[out]	modes	Array to be filled with the modes

Returns

pcor()

auto stats::pcor	(	A	,
		B	)

Population Pearson correlation function (PCC / rho)

pcov()

auto stats::pcov	(	A	,
		B	,
		m1	,
		m2	)

Population covariance function.

pkurtosis()

auto stats::pkurtosis	(	A	,
		l	)

Population kurtosis function.

prod()

auto stats::prod

(

A

)

Product function.

psd()

auto stats::psd	(	A	,
		m	,
		l	)

Population standard deviation function.

pskewness()

auto stats::pskewness	(	A	,
		l	)

Population skewness function.

pvar()

auto stats::pvar	(	A	,
		m	,
		l	)

Population variance function.

quadraticMean()

auto stats::quadraticMean	(	A	,
		l	)

Quadratic mean function (or root mean square) (QM/RMS / M_2)

range()

auto stats::range

(

A

)

Range function (maximum - minimum)

sd()

auto stats::sd	(	A	,
		m	,
		l	)

Sample standard deviation function.

skewness()

auto stats::skewness	(	A	,
		m	,
		s	,
		l	)

Sample skewness function.

stat_calc()

auto stats::stat_calc	(	s	,
		stats	)

Update central moments statistics to array "s" mean: Arithmetic mean (1° moment) pvar: Population variance (2° central moment) var: Sample variance psd: Population standard deviation sd: Sample standard deviation pskewness: Population skewness (3° standardized moment) skewness: Sample skewness pkurtosis: Population kurtosis (4° standardized moment) kurtosis: Sample kurtosis More efficient than computing each one separately?

stat_push()

auto stats::stat_push	(	s	,
		x	)

Update moment statistics to array "s" /**.

Compute running statistics for the first 4 degrees of moments of a series n: Length min: Minimum max: Maximum sum: Sum mom1: 1° moment mom2: 2° moment mom3: 3° moment mom4: 4° moment

sum()

auto stats::sum

(

A

)

Sum function.

sumOfSquares()

auto stats::sumOfSquares	(	A	,
		m	)

Sum of squared deviations from the mean function (SS / SDM)

sumReciprocals()

auto stats::sumReciprocals

(

A

)

Sum of reciprocals function.

sumSquares()

auto stats::sumSquares

(

A

)

Sum of squares function (or dot product with itself)

var()

auto stats::var	(	A	,
		m	,
		l	)

Sample variance function.