mc2d (version 0.1-17)

bernoulli: The Bernoulli Distribution

Description

Density, distribution function, quantile function and random generation for the Bernoulli distribution with probability equals to prob.

Usage

dbern(x, prob=.5, log=FALSE)
pbern(q, prob=.5, lower.tail=TRUE, log.p=FALSE)
qbern(p, prob=.5, lower.tail=TRUE, log.p=FALSE)
rbern(n, prob=.5)

Arguments

x,q

vector of quantiles.

p

vector of probabilities.

n

number of observations. If length(n) > 1, the length is taken to be the number required.

prob

vector of probabilities of success of 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]<="" span="">, otherwise, P[X > x].

Value

dbern gives the density, pbern gives the distribution function, qbern gives the quantile function, and rbern generates random deviates.

Details

These fonctions use the corresponding functions from the binomial distribution with argument size = 1. Thus, 1 is for success, 0 is for failure.

See Also

Binomial

Examples

rbern(n=10, prob=.5)
rbern(n=3, prob=c(0, .5, 1))