bernoulli {mc2d} | R Documentation |
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)
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]. |
These fonctions use the corresponding functions from the
binomial
distribution with argument size = 1.
Thus, 1 is for success, 0 is for failure.
dbern gives the density, pbern gives the distribution function, qbern gives the quantile function, and rbern generates random deviates.
rbern(n=10, prob=.5) rbern(n=3, prob=c(0, .5, 1))