bernoulli: The Bernoulli Distribution

In mc2d: Tools for Two-Dimensional Monte-Carlo Simulations

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], otherwise, P[X > x].

Details

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

Value

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

See Also

Binomial

Examples

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

mc2d documentation built on July 5, 2021, 3:01 p.m.