Binomial {base} | R Documentation |
Density, distribution function, quantile function and random
generation for the binomial distribution with parameters size
and prob
.
dbinom(x, size, prob, log = FALSE) pbinom(q, size, prob, lower.tail = TRUE, log.p = FALSE) qbinom(p, size, prob, lower.tail = TRUE, log.p = FALSE) rbinom(n, size, prob)
x, q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations to generate. |
size |
number of trials. |
prob |
probability of success on each trial. |
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 binomial distribution with size
= n and
prob
= p has density
p(x) = Choose(n,x) p^x (1-p)^(n-x)
for x = 0, ..., n.
If an element of x
is not integer, the result of dbinom
is zero, with a warning.
The quantile is defined as the smallest value x such that F(x) >= p, where F is the distribution function.
dbinom
gives the density, pbinom
gives the distribution
function, qbinom
gives the quantile function and rbinom
generates random deviates.
dnbinom
for the negative binomial, and
dpois
for the Poisson distribution.
# Compute P(45 < X < 55) for X Binomial(100,0.5) sum(dbinom(46:54, 100, 0.5)) ## Using "log = TRUE" for an extended range : n <- 2000 plot (0:n, dbinom(0:n, n, pi/10, log=TRUE), type='l', main = "dbinom(*, log=TRUE) is better than log(dbinom(*))") lines(0:n, log(dbinom(0:n, n, pi/10)), col='red', lwd=2) mtext("dbinom(k, log=TRUE)", adj=0) mtext("extended range", adj=0, line = -1, font=4) mtext("log(dbinom(k))", col="red", adj=1)