stats.awk File Reference

Namespaces
namespace	stats

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