rvsims takes a vector, matrix, or list (
simulations, and returns a random vector (an object of type 'rv')
an array of simulations (1, or 2-dimensional) or a list
number of simulations to save
logical, indicate if scramble the simulations
sims is a plain numeric vector, this is interpreted to be
equivalent to a one-dimensional array, containing simulations for one single
If the array
sims is one-dimensional, this is interpreted to be
equivalent to a two-dimensional array with 1 column.
sims is two-dimensional, the columns are supposed to
contain simulations for one or more several random variables.
sims is a list, the numeric vectors are recursively combined to a
list of random vectors: each component of the list is supposed to be
containing one (joint) draw from some distribution—this may be a
TRUE, the simulations are scrambled, i.e. the
joint draws are permuted randomly.
Jouni Kerman email@example.com
Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing Posterior Simulations Using Random Variable Objects. Statistics and Computing 17:3, 235-244.
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## x and y have the same distributions but not the same simulations: n.sims <- 200L setnsims(n.sims) y <- rvnorm(1) x1 <- rvsims(rnorm(n.sims)) ## s <- sims(x1) z <- array(s) ## One-dimensional array x2 <- rvsims(z) ## Same as ## identical(x1, x2) ## TRUE ## s <- t(array(rnorm(n.sims * 2, mean=c(0, 10)), dim=c(2, n.sims))) x3 <- rvsims(s) identical(2L, length(x3)) ## TRUE
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