rvdiscrete: Generate Random Vectors from a Discrete Sampling Model
In jsta/rv: Simulation-Based Random Variable Objects

Description Usage Arguments Details Author(s) References Examples

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

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

`n`	integer: number of scalars to generate
`x`	values of the distribution
`prob`	probabilities (optional, default: all equal)

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.

Jouni Kerman jouni@kerman.com

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").

## 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)