Bernoulli: Bernoulli distribution

In twolodzko/extraDistr: Additional Univariate and Multivariate Distributions

Bernoulli distribution

Description

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

Usage

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 \le 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

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

twolodzko/extraDistr documentation built on Dec. 4, 2023, 8:56 p.m.