dbeta(x, shape1, shape2, ncp=0) pbeta(q, shape1, shape2, ncp=0) qbeta(p, shape1, shape2) 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. |
shape1 and shape2 (and optional non-centrality
parameter ncp). dbeta gives the density,
pbeta the distribution function, qbeta the
quantile function and rbeta generates random deviates.
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.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)