Bernoulli: Bernoulli distribution

Description Usage Arguments See Also Examples

Description

Probability mass function, distribution function, quantile function and random generation for the Bernoulli distribution.

Usage

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dbern(x, prob = 0.5, log = FALSE)

pbern(q, prob = 0.5, lower.tail = TRUE, log.p = FALSE)

qbern(p, prob = 0.5, lower.tail = TRUE, log.p = FALSE)

rbern(n, prob = 0.5)

Arguments

x, q

vector of quantiles.

prob

probability of success; (0 < prob < 1).

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].

p

vector of probabilities.

n

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

See Also

Binomial

Examples

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prop.table(table(rbern(1e5, 0.5)))

extraDistr documentation built on Sept. 7, 2020, 5:09 p.m.