rv (version 2.3.2)

rvvar: Variances of Components of Random Vectors

Description

Computes variances of the simulations of components of a random vector of array.

Usage

rvvar(x)
  # S3 method for rv
rvvar(x)
  # S3 method for rvsummary
rvvar(x)
  rvsd(x)
  # S3 method for rv
rvsd(x)
  # S3 method for rvsummary
rvsd(x)

Arguments

x

an object

Value

A numeric vector or array (of the same dimension as that of x)

Details

rvvar computes the means of the simulations of all individual components of a random vector (rv) object. That is, rvvar applies the function var to the vector of simulations of each component of x, thus computing "columnwise" variances of the matrix of simulations of x. rvsd applies the function sd to the vector of simulations of each component of x, thus computing "columnwise" standard deviations of the matrix of simulations of x.

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").

See Also

rvmin, rvmax, rvmedian, rvsd.

Examples

  x <- rvnorm(mean=0, var=1:10)
  rvvar(x)
  rvsd(x)