stats_cdf_t
(PECL stats >= 1.0.0)
stats_cdf_t — Calculates any one parameter of the T distribution given values for the others.
Description
float stats_cdf_t
( float
$par1
, float $par2
, int $which
)Warning
This function is currently not documented; only its argument list is available.
Parameters
-
par1 -
-
par2 -
-
which -
Return Values
- PHP Руководство
- Функции по категориям
- Индекс функций
- Справочник функций
- Математические расширения
- Статистика
- stats_absolute_deviation
- stats_cdf_beta
- stats_cdf_binomial
- stats_cdf_cauchy
- stats_cdf_chisquare
- stats_cdf_exponential
- stats_cdf_f
- stats_cdf_gamma
- stats_cdf_laplace
- stats_cdf_logistic
- stats_cdf_negative_binomial
- stats_cdf_noncentral_chisquare
- stats_cdf_noncentral_f
- stats_cdf_poisson
- stats_cdf_t
- stats_cdf_uniform
- stats_cdf_weibull
- stats_covariance
- stats_den_uniform
- stats_dens_beta
- stats_dens_cauchy
- stats_dens_chisquare
- stats_dens_exponential
- stats_dens_f
- stats_dens_gamma
- stats_dens_laplace
- stats_dens_logistic
- stats_dens_negative_binomial
- stats_dens_normal
- stats_dens_pmf_binomial
- stats_dens_pmf_hypergeometric
- stats_dens_pmf_poisson
- stats_dens_t
- stats_dens_weibull
- stats_harmonic_mean
- stats_kurtosis
- stats_rand_gen_beta
- stats_rand_gen_chisquare
- stats_rand_gen_exponential
- stats_rand_gen_f
- stats_rand_gen_funiform
- stats_rand_gen_gamma
- stats_rand_gen_ibinomial_negative
- stats_rand_gen_ibinomial
- stats_rand_gen_int
- stats_rand_gen_ipoisson
- stats_rand_gen_iuniform
- stats_rand_gen_noncenral_chisquare
- stats_rand_gen_noncentral_f
- stats_rand_gen_noncentral_t
- stats_rand_gen_normal
- stats_rand_gen_t
- stats_rand_get_seeds
- stats_rand_phrase_to_seeds
- stats_rand_ranf
- stats_rand_setall
- stats_skew
- stats_standard_deviation
- stats_stat_binomial_coef
- stats_stat_correlation
- stats_stat_gennch
- stats_stat_independent_t
- stats_stat_innerproduct
- stats_stat_noncentral_t
- stats_stat_paired_t
- stats_stat_percentile
- stats_stat_powersum
- stats_variance
Коментарии
In order to match the output of this function with Excel's TDIST function, you must take 1 - the value. For example, for a two-tailed T-distribution for x=4 and degrees of freedom=2, the formula would be:
(1 - stats_cdf_t(4, 2, 1)) * 2
For a single tail, do not include the multiply by 2 portion.
Input and return values of stats_cdf_t depends on the $which-parameter:<?php
function get_t_p($t, $df){
return stats_cdf_t($t, $df, 1);
}
function get_t_t($p, $df){
return stats_cdf_t($p, $df, 2);
}
function get_t_df($p, $t){
return stats_cdf_t($p, $t, 3);
}
?>