Draw a random sample from a Bernoulli distribution

Usage

# S3 method for class 'Bernoulli'
random(x, n = 1L, drop = TRUE, ...)

Arguments

x: A Bernoulli object created by a call to Bernoulli().
n: The number of samples to draw. Defaults to 1L.
drop: logical. Should the result be simplified to a vector if possible?
...: Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Value

In case of a single distribution object or n = 1, either a numeric vector of length n (if drop = TRUE, default) or a matrix with n columns (if drop = FALSE).

Examples


set.seed(27)

X <- Bernoulli(0.7)
X
#> [1] "Bernoulli(p = 0.7)"

mean(X)
#> [1] 0.7
variance(X)
#> [1] 0.21
skewness(X)
#> [1] -0.8728716
kurtosis(X)
#> [1] -1.238095

random(X, 10)
#>  [1] 0 1 0 1 1 1 1 1 1 1
pdf(X, 1)
#> [1] 0.7
log_pdf(X, 1)
#> [1] -0.3566749
cdf(X, 0)
#> [1] 0.3
quantile(X, 0.7)
#> [1] 1

cdf(X, quantile(X, 0.7))
#> [1] 1
quantile(X, cdf(X, 0.7))
#> [1] 0