The Beta Distribution

Density, distribution function, quantile function and random generation for the Beta distribution with parameters shape1 and shape2 (and optional non-centrality parameter ncp).

Usage

rbeta2(n, prob, kappa)

Arguments

n

number of observations

prob

the mean probability (vectorised)

kappa

a coefficient of variation. where 0 is no variability and 1 is maximally variability (vectorised)

Value

dbeta gives the density, pbeta the distribution function, qbeta the quantile function, and rbeta generates random deviates.

Invalid arguments will result in return value NaN, with a warning.

The length of the result is determined by n for rbeta, and is the maximum of the lengths of the numerical arguments for the other functions.

The numerical arguments other than n are recycled to the length of the result. Only the first elements of the logical arguments are used.

See also

stats::rbeta()

Examples

rbeta2(3, c(0.1,0.5,0.9),0.1)
#> [1] 0.09732764 0.48592140 0.90113089