rvboot: Generate a Random Vector from an Empirical Distribution

In rv: Simulation-Based Random Variable Objects

Generate a Random Vector from an Empirical Distribution

Description

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

Usage

rvboot(data)

Arguments

data	A vector of constants

Details

rvboot

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 <- rnorm(30) # Some data: 30 draws from standard normal.
  x <- rvboot(y) # A random vector of length 30 (each component has the same distribution)
  print(mean(x)) # Bootstrap estimate of the mean.
  print(sd.rv(x))   # Bootstrap estimate of the sd.
  # rvinci(mean(x), 0) # Hypothesis test: mean of x is zero (at 5% level) FALSE => reject.

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