| Beta {base} | R Documentation |
The Beta Distribution
Usage
dbeta(x, a, b)
pbeta(q, a, b)
qbeta(p, a, b)
rbeta(n, a, b)
Arguments
x, q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations to generate. |
a, b |
positive parameters of the beta distribution. |
Value
These functions provide information about the Beta distribution
with parameters a and b. dbeta gives the density,
pbeta the distribution function, qbeta the
quantile function and rbeta generates random deviates.
The Beta distribution has density
f(x) =
\frac{\Gamma (a + b )}{\Gamma (a) \Gamma (b)}
{x}^{a} {(1-x)}^{b}
for a > 0,
b > 0
and
0 < x < 1.
See Also
beta for the beta function, and dgamma for the
Gamma distribution.
Examples
x <- seq(0,1, length=21)
dbeta(x, 1, 1)
pbeta(x, 1, 1)