var.rv, cov.rv and cor.rv compute the distribution
of the variance statistic of x and the distribution of the covariance
statistic or the correlation statistic of x and y if these are vectors.
If x and y are matrices then the covariances (or correlations)
between the columns of x and the columns of y are computed.
sd.rv(x, na.rm=FALSE) cov.rv(x, y=NULL, ...) cor.rv(x, y=NULL, ...) var.rv(x, ...)NULL (default) or a vector, matrix or data frame with compatible dimensions to x. The default is equivalent to y = x (but more efficient). These functions are compatible with both numeric and rv
objects.
To make your code compatible with rv objects, use
e.g. sd.rv instead of sd.
The functions cov.rv is implemented by
applying the corresponding numerical
function to the rows of the simulation matrices
of x and y and forming a new rv object
from the resulting vector of simulations.
Alternatively x may be a random matrix (and y NULL).
cor.rv works similarly, but returns the distribution of the
correlation statistic (i.e. function).
var.rv computes the distribution of the variance statistic.
sd.rv is the square root of the result obtained by var.rv.
See also vignette("rv").