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\name{F}\title{The F Distribution}\usage{df(x, n1, n2)pf(q, n1, n2)qf(p, n1, n2)rf(n, n1, n2)}\alias{df}\alias{pf}\alias{qf}\alias{rf}\value{These functions provide information about the F distribution with\code{n1} and \code{n2} degrees of freedom.\code{df} gives the density,\code{pf} gives the distribution function\code{qf} gives the quantile functionand\code{rf} generates random deviates.The F distribution with \eqn{n_1}{n1} and \eqn{n_2}{n2} degrees offreedom has density\deqn{f(x) =\frac{\Gamma(n_1/2 + n_2/2)}{\Gamma(n_1/2)\Gamma(n_2/2)}\left(\frac{n_1}{n_2}\right)^{n_1/2}x^{n_1/2-1}\left(1 + \frac{n_1 x}{n_2}\right)^{-(n_1 + n_2) / 2}}{f(x) =Gamma((n1 + n2)/2) / (Gamma(n1/2) Gamma(n2/2))(n1/n2)^(n1/2) x^(n1/2 - 1)(1 + (n1/n2) x)^-(n1 + n2)/2}for \eqn{x > 0}.}\seealso{\code{\link{dt}} for Student's t distribution which is (almost)equivalent to \code{*f(\dots, n2 = 1)}.}\examples{df(1,1,1) == dt(1,1)}\keyword{distribution}