rbernoulli: Generate Random Draws from a Bernoulli Distribution

In simDAG: Simulate Data from a DAG and Associated Node Information

Generate Random Draws from a Bernoulli Distribution

Description

A very fast implementation for generating bernoulli trials. Can take a vector of probabilities which makes it very useful for simulation studies.

Usage

rbernoulli(n, p=0.5, output="logical", reference=NULL)

Arguments

n	How many draws to make.
p	A numeric vector of probabilities, used when drawing the trials.
output	A single character string, specifying which format the output should be returned as. Must be one of "logical" (default), "numeric", "character" or "factor".
reference	A single character string, specifying which of the two possible values should be considered the reference when output="factor" (ignored otherwise).

Details

Internally, it uses only a single call to runif, making it much faster and more memory efficient than using rbinomial.

Note that this function accepts values of p that are smaller then 0 and greater than 1. For p < 0 it will always return FALSE, for p > 1 it will always return TRUE.

Value

Returns a vector of length n in the desired output format.

Author(s)

Robin Denz

Examples

library(simDAG)

# generating 5 bernoulli random draws from an unbiased coin
rbernoulli(n=5, p=0.5)

# using different probabilities for each coin throw
rbernoulli(n=5, p=c(0.1, 0.2, 0.3, 0.2, 0.7))

# return as numeric instead
rbernoulli(n=5, p=0.5, output="numeric")

simDAG documentation built on April 3, 2025, 10:35 p.m.