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\name{Beta}\title{The Beta Distribution}\usage{dbeta(x, shape1, shape2, ncp=0)pbeta(q, shape1, shape2, ncp=0)qbeta(p, shape1, shape2)rbeta(n, shape1, shape2)}\alias{dbeta}\alias{pbeta}\alias{qbeta}\alias{rbeta}\arguments{\item{x,q}{vector of quantiles.}\item{p}{vector of probabilities.}\item{n}{number of observations to generate.}\item{shape1,shape2}{positive parameters of the beta distribution.}\item{ncp}{non-centrality parameter.}}\value{These functions provide information about the Beta distributionwith parameters \code{shape1} and \code{shape2} (and optional non-centralityparameter \code{ncp}). \code{dbeta} gives the density,\code{pbeta} the distribution function, \code{qbeta} thequantile function and \code{rbeta} generates random deviates.The Beta distribution with parameters \code{shape1} \eqn{= a} and \code{shape2}\eqn{= b} has density\deqn{f(x)=\frac{\Gamma (a + b )}{\Gamma (a) \Gamma (b)}{x}^{a} {(1-x)}^{b}%}{Gamma(a+b)/(Gamma(a)Gamma(b))x^(a-1)(1-x)^(b-1)}for \eqn{a > 0}, \eqn{b > 0} and \eqn{0 < x < 1}.}\seealso{\code{\link{beta}} for the beta function, and \code{\link{dgamma}} for theGamma distribution.}\examples{x <- seq(0,1, length=21)dbeta(x, 1, 1)pbeta(x, 1, 1)}\keyword{distribution}