rvdiscrete: Generate Random Vectors from a Discrete Sampling Model

rvdiscreteR Documentation

Generate Random Vectors from a Discrete Sampling Model

Description

Generates random variables from a discrete distribution (from a finite population with replacement).

Usage

rvdiscrete(n = 1, x, prob = NULL)

Arguments

n

integer: number of scalars to generate

x

values of the distribution

prob

probabilities (optional, default: all equal)

Details

Computes a random vector of length n, consisting of identicallly distributed discrete random scalars with the discrete distribution with values x and corresponding probabilities prob. If prob is not given, all values are considered equally distributed.

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

## Not run: 

  # 8 people draw a number each from 1..10 with replacement.
  # What is the probability that the highest number of the eight is "10"?
  u <- rvdiscrete(n=8, x=1:10) # 8 iid variables from the discrete uniform 1:10.
  Pr(max(u)==10)
  # What is the probability that the person with the 3rd smallest number
  # has at least "3"?
  s <- sort(u) # order distribution
  Pr(s[3]>=3)
  
## End(Not run)


rv documentation built on March 18, 2022, 5:55 p.m.