Generate Bernoulli Distributed Values

Generates a set of Bernoulli distributed values.

r_bern(prob = 0.5, ..., n = default_n(prob), .seed = NULL)

Arguments

prob	vector of probability of successes, between 0 & 1
...	Unused
n	number of observations to generate. The default_n() function will provide a default value within context
.seed	One of the following: NULL (default) will not change the current seed. This is the usual case for generating random numbers. A numeric value. This will be used to set the seed before generating the random numbers. This seed will be stored with the results. TRUE. A random seed value will be generated and set as the seed before the results are generated. Again, this will be stored with the results. To extract the random seed from a previously generated set of values, use pull_seed()

Value

A numeric vector of length n

Examples

set_n(5)

r_bern(0.9)
#> [1] 1 1 1 1 1

r_bern(seq(0, 1, 0.1))
#>  [1] 0 0 1 0 0 1 1 1 0 1 1

r_bern(1 / 4, n = 10)
#>  [1] 0 1 1 0 0 1 0 0 0 0