Generate Binomial Distributed Values

Generates a set of Binomial distributed values.

r_binom(size, prob = 0.5, ..., n = default_n(size, prob), .seed = NULL)

Arguments

size	vector of number of trials, positive integer
prob	vector of probabilities of success on each trial, 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_binom(10)
#> [1] 4 7 6 3 7

r_binom(1:10)
#>  [1] 1 1 3 2 4 2 1 3 6 4

r_binom(10, 0.2)
#> [1] 1 0 4 1 3

r_binom(1, 0.2, n = 10)
#>  [1] 0 1 0 1 0 0 1 0 0 0