# Bernoulli

From extraDistr v1.9.1
by Tymoteusz Wolodzko

##### Bernoulli distribution

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

- Keywords
- 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

##### Examples

```
# NOT RUN {
prop.table(table(rbern(1e5, 0.5)))
# }
```

*Documentation reproduced from package extraDistr, version 1.9.1, License: GPL-2*

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