bernoulli function

The Bernoulli Distribution

Density, distribution function, quantile function and random generation for the Bernoulli distribution with probability equals to prob .

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)

Examples

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

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

Returns

dbern gives the density, pbern gives the distribution function, qbern gives the quantile function, and rbern

generates random deviates.

See Also

Binomial