rvboot: Generate a Random Vector from an Empirical Distribution
In jsta/rv: Simulation-Based Random Variable Objects

Description Usage Arguments Details Author(s) References Examples

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

1	rvboot(data)

data

A vector of constants

rvboot

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").

  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.