rvempirical: Generate a Random Vector from an Empirical Distribution

In jsta/rv: Simulation-Based Random Variable Objects

Description

rvempirical generates a random vector of the same length as data from the empirical distribution of the data.

Usage

rvempirical(n, data)

Arguments

n	Number of i.i.d. rv components to generate
data	Data (constants)

Details

rvempirical

Author(s)

Jouni Kerman [e-mail]

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

  y <- c(1.0, 1.2, 3, 1.1, 0.8, 0.9) ## Some data
  x <- rvempirical(4, data=y) 

jsta/rv documentation built on Feb. 12, 2022, 5:13 p.m.