简介

This is the statistics extension. It contains few dozens of functions useful for statistical computations. It is a wrapper around 2 scientific libraries, namely DCDFLIB (Library of C routines for Cumulative Distributions Functions, Inverses, and Other parameters) by B. Brown & J. Lavato and RANDLIB by Barry Brown, James Lavato & Kathy Russell. Includes CD and PD functions.

安装

本 » PECL 扩展未绑定于 PHP 中。

安装此 PECL 扩展库的信息可在手册中标题为 PECL 扩展库安装的一章中找到。 更多信息如新版本，下载，源文件，维护者信息以及更新日志等可以在这里找到： » http://pecl.php.net/package/stats.

可以从 » PHP 下载页面或者 » http://snaps.php.net/ 下载此 PECL 扩展的 DLL 文件。

需求

No external libraries are needed. The extension comes bundled with the libraries used.

目录

stats_absolute_deviation Returns the absolute deviation of an array of values

stats_cdf_beta CDF function for BETA Distribution. Calculates any one parameter of the beta distribution given values for the others.

stats_cdf_binomial Calculates any one parameter of the binomial distribution given values for the others.

stats_cdf_cauchy Not documented

stats_cdf_chisquare Calculates any one parameter of the chi-square distribution given values for the others.

stats_cdf_exponential Not documented

stats_cdf_f Calculates any one parameter of the F distribution given values for the others.

stats_cdf_gamma Calculates any one parameter of the gamma distribution given values for the others.

stats_cdf_laplace Not documented

stats_cdf_logistic Not documented

stats_cdf_negative_binomial Calculates any one parameter of the negative binomial distribution given values for the others.

stats_cdf_noncentral_chisquare Calculates any one parameter of the non-central chi-square distribution given values for the others.

stats_cdf_noncentral_f Calculates any one parameter of the Non-central F distribution given values for the others.

stats_cdf_poisson Calculates any one parameter of the Poisson distribution given values for the others.

stats_cdf_t Calculates any one parameter of the T distribution given values for the others.

stats_cdf_uniform Not documented

stats_cdf_weibull Not documented

stats_covariance Computes the covariance of two data sets

stats_den_uniform Not documented

stats_dens_beta Not documented

stats_dens_cauchy Not documented

stats_dens_chisquare Not documented

stats_dens_exponential Not documented

stats_dens_f

stats_dens_gamma Not documented

stats_dens_laplace Not documented

stats_dens_logistic Not documented

stats_dens_negative_binomial Not documented

stats_dens_normal Not documented

stats_dens_pmf_binomial Not documented

stats_dens_pmf_hypergeometric

stats_dens_pmf_poisson Not documented

stats_dens_t Not documented

stats_dens_weibull Not documented

stats_harmonic_mean Returns the harmonic mean of an array of values

stats_kurtosis Computes the kurtosis of the data in the array

stats_rand_gen_beta Generates beta random deviate

stats_rand_gen_chisquare Generates random deviate from the distribution of a chisquare with "df" degrees of freedom random variable.

stats_rand_gen_exponential Generates a single random deviate from an exponential distribution with mean "av"

stats_rand_gen_f Generates a random deviate from the F (variance ratio) distribution with "dfn" degrees of freedom in the numerator and "dfd" degrees of freedom in the denominator. Method : directly generates ratio of chisquare variates

stats_rand_gen_funiform Generates uniform float between low (exclusive) and high (exclusive)

stats_rand_gen_gamma Generates random deviates from a gamma distribution

stats_rand_gen_ibinomial_negative Generates a single random deviate from a negative binomial distribution. Arguments : n - the number of trials in the negative binomial distribution from which a random deviate is to be generated (n > 0), p - the probability of an event (0 < p < 1)).

stats_rand_gen_ibinomial Generates a single random deviate from a binomial distribution whose number of trials is "n" (n >= 0) and whose probability of an event in each trial is "pp" ([0;1]). Method : algorithm BTPE

stats_rand_gen_int Generates random integer between 1 and 2147483562

stats_rand_gen_ipoisson Generates a single random deviate from a Poisson distribution with mean "mu" (mu >= 0.0).

stats_rand_gen_iuniform Generates integer uniformly distributed between LOW (inclusive) and HIGH (inclusive)

stats_rand_gen_noncenral_chisquare Generates random deviate from the distribution of a noncentral chisquare with "df" degrees of freedom and noncentrality parameter "xnonc". d must be >= 1.0, xnonc must >= 0.0

stats_rand_gen_noncentral_f Generates a random deviate from the noncentral F (variance ratio) distribution with "dfn" degrees of freedom in the numerator, and "dfd" degrees of freedom in the denominator, and noncentrality parameter "xnonc". Method : directly generates ratio of noncentral numerator chisquare variate to central denominator chisquare variate.

stats_rand_gen_noncentral_t Generates a single random deviate from a noncentral T distribution

stats_rand_gen_normal Generates a single random deviate from a normal distribution with mean, av, and standard deviation, sd (sd >= 0). Method : Renames SNORM from TOMS as slightly modified by BWB to use RANF instead of SUNIF.

stats_rand_gen_t Generates a single random deviate from a T distribution

stats_rand_get_seeds Not documented

stats_rand_phrase_to_seeds generate two seeds for the RGN random number generator

stats_rand_ranf Returns a random floating point number from a uniform distribution over 0 - 1 (endpoints of this interval are not returned) using the current generator

stats_rand_setall Not documented

stats_skew Computes the skewness of the data in the array

stats_standard_deviation Returns the standard deviation

stats_stat_binomial_coef Not documented

stats_stat_correlation Not documented

stats_stat_gennch Not documented

stats_stat_independent_t Not documented

stats_stat_innerproduct

stats_stat_noncentral_t Calculates any one parameter of the noncentral t distribution give values for the others.

stats_stat_paired_t Not documented

stats_stat_percentile Not documented

stats_stat_powersum Not documented

stats_variance Returns the population variance