R: The Bernoulli Distribution

bernoulli {mc2d} | R Documentation

## 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], 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))

[Package mc2d version 0.1-18 Index]