Generate a Random Vector from a Bernoulli Sampling Model

Description

rvbern generates a random vector where each simulation comes from a Bernoulli sampling distribution.

Usage

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  rvbern(n=1, prob, logical=FALSE)

Arguments

n

number of random scalars to draw

prob

probability of “success”; may be a random vector itself

logical

logical; return a logical random variable instead

Details

rvbern is a special case of rvbinom with the argument size=1.

If logical is TRUE, the function returns a logical random variable which has TRUE for 1, FALSE for 0. (The printed summary of this object is slightly different from a regular continuous numeric random variable.)

Value

A random vector (an rv object) of length n.

Note

The resulting vector will not be independent and identically distributed Bernoulli unless prob is a fixed number.

Author(s)

Jouni Kerman jouni@kerman.com

References

Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing Posterior Simulations Using Random Variable Objects. Statistics and Computing 17:3, 235-244.

See also vignette("rv").

Examples

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  rvbern(2, prob=0.5)
  rvbinom(2, size=1, prob=0.5) # Equivalent
  print(rvbern(1, 0.5, logical=TRUE)) # won't show the quantiles
  print(as.logical(rvbern(1, 0.5))) # equivalent

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