Beta {base} | R Documentation |
Density, distribution function, quantile function and random
generation for the Beta distribution with parameters shape1
and
shape2
(and optional non-centrality parameter ncp
).
dbeta(x, shape1, shape2, ncp=0, log = FALSE) pbeta(q, shape1, shape2, ncp=0, lower.tail = TRUE, log.p = FALSE) qbeta(p, shape1, shape2, lower.tail = TRUE, log.p = FALSE) rbeta(n, shape1, shape2)
x, q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations to generate. |
shape1, shape2 |
positive parameters of the Beta distribution. |
ncp |
non-centrality parameter. |
log, log.p |
logical; if TRUE, probabilities p are given as log(p). |
lower.tail |
logical; if TRUE (default), probabilities are P[X <= x], otherwise, P[X > x]. |
The Beta distribution with parameters shape1
= a and
shape2
= b has density
Gamma(a+b)/(Gamma(a)Gamma(b))x^(a-1)(1-x)^(b-1)
for a > 0, b > 0 and 0 < x < 1.
dbeta
gives the density, pbeta
the distribution
function, qbeta
the quantile function, and rbeta
generates random deviates.
beta
for the Beta function, and dgamma
for
the Gamma distribution.
x <- seq(0, 1, length=21) dbeta(x, 1, 1) pbeta(x, 1, 1)