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% File src/library/stats/man/Geometric.Rd
% Part of the R package, https://www.R-project.org
% Copyright 1995-2020 R Core Team
% Distributed under GPL 2 or later
\name{Geometric}
\alias{Geometric}
\alias{dgeom}
\alias{pgeom}
\alias{qgeom}
\alias{rgeom}
\title{The Geometric Distribution}
\description{
Density, distribution function, quantile function and random
generation for the geometric distribution with parameter \code{prob}.
}
\usage{
dgeom(x, prob, log = FALSE)
pgeom(q, prob, lower.tail = TRUE, log.p = FALSE)
qgeom(p, prob, lower.tail = TRUE, log.p = FALSE)
rgeom(n, prob)
}
\arguments{
\item{x, q}{vector of quantiles representing the number of failures in
a sequence of Bernoulli trials before success occurs.}
\item{p}{vector of probabilities.}
\item{n}{number of observations. If \code{length(n) > 1}, the length
is taken to be the number required.}
\item{prob}{probability of success in each trial. \code{0 < prob <= 1}.}
\item{log, log.p}{logical; if TRUE, probabilities p are given as log(p).}
\item{lower.tail}{logical; if TRUE (default), probabilities are
\eqn{P[X \le x]}, otherwise, \eqn{P[X > x]}.}
}
\details{
The geometric distribution with \code{prob} \eqn{= p} has density
\deqn{p(x) = p {(1-p)}^{x}}{p(x) = p (1-p)^x}
for \eqn{x = 0, 1, 2, \ldots}, \eqn{0 < p \le 1}.
If an element of \code{x} is not integer, the result of \code{dgeom}
is zero, with a warning.
The quantile is defined as the smallest value \eqn{x} such that
\eqn{F(x) \ge p}, where \eqn{F} is the distribution function.
}
\value{
\code{dgeom} gives the density,
\code{pgeom} gives the distribution function,
\code{qgeom} gives the quantile function, and
\code{rgeom} generates random deviates.
Invalid \code{prob} will result in return value \code{NaN}, with a warning.
The length of the result is determined by \code{n} for
\code{rgeom}, and is the maximum of the lengths of the
numerical arguments for the other functions.
The numerical arguments other than \code{n} are recycled to the
length of the result. Only the first elements of the logical
arguments are used.
\code{rgeom} returns a vector of type \link{integer}: if generated
values exceed the maximum representable integer they are returned as
\code{NA} and a warning is given.
}
\source{
\code{dgeom} computes via \code{dbinom}, using code contributed by
Catherine Loader (see \code{\link{dbinom}}).
\code{pgeom} and \code{qgeom} are based on the closed-form formulae.
\code{rgeom} uses the derivation as an exponential mixture of Poissons, see
Devroye, L. (1986) \emph{Non-Uniform Random Variate Generation.}
Springer-Verlag, New York. Page 480.
}
\seealso{
\link{Distributions} for other standard distributions, including
\code{\link{dnbinom}} for the negative binomial which generalizes
the geometric distribution.
}
\examples{
qgeom((1:9)/10, prob = .2)
Ni <- rgeom(20, prob = 1/4); table(factor(Ni, 0:max(Ni)))
}
\keyword{distribution}