CXLIX. Statistics Functions

導入

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.

インストール手順

この PECL 拡張 モジュールは PHP にバンドルされていません。

この PECL 拡張モジュールをインストールする方法は、 マニュアルの PECL 拡張モジュールのインストール という章にあります。 新規リリース・ダウンロード・ソースファイル・管理者情報・CHANGELOG といった関連する情報については、次の場所にあります。 http://pecl.php.net/package/stats.

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要件

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

目次
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