The R Project SVN R

Rev

Rev 88603 | Show entire file | Ignore whitespace | Details | Blame | Last modification | View Log | RSS feed

Rev 88603 Rev 90223
Line 1... Line 1...
1 
% File src/library/stats/man/Hypergeometric.Rd
 1 
% File src/library/stats/man/Hypergeometric.Rd
2 
% Part of the R package, https://www.R-project.org
 2 
% Part of the R package, https://www.R-project.org
3 
% Copyright 1995-2023 R Core Team
 3 
% Copyright 1995-2026 R Core Team
4 
% Distributed under GPL 2 or later
 4 
% Distributed under GPL 2 or later
5 
 
 5 
 
6 
\name{Hypergeometric}
 6 
\name{Hypergeometric}
7 
\alias{Hypergeometric}
 7 
\alias{Hypergeometric}
8 
\alias{dhyper}
 8 
\alias{dhyper}
Line 75... Line 75...
75 
  hypergeometric has smaller variance unless \eqn{k = 1}).
 75 
  hypergeometric has smaller variance unless \eqn{k = 1}).
76 
 
 76 
 
77 
  The quantile is defined as the smallest value \eqn{x} such that
 77 
  The quantile is defined as the smallest value \eqn{x} such that
78 
  \eqn{F(x) \ge p}, where \eqn{F} is the distribution function.
 78 
  \eqn{F(x) \ge p}, where \eqn{F} is the distribution function.
79 
 
 79 
 
80 
  In \code{rhyper()}, if one of \eqn{m, n, k} exceeds \code{\link{.Machine}$integer.max},
 80 
  In \code{rhyper()}, if \eqn{m+n} or \eqn{k} exceeds \code{\link{.Machine}$integer.max},
81 
  currently the equivalent of \code{qhyper(runif(nn), m,n,k)} is used
 81 
  currently the equivalent of \code{qhyper(runif(nn), m,n,k)} is used
82 
  which is comparably slow while instead a binomial approximation may be
 82 
  which is comparably slow while instead a binomial approximation may be
83 
  considerably more efficient.
 83 
  considerably more efficient.
84 
}
 84 
}
85 
\source{
 85 
\source{