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# file MASS/R/mvrnorm.R
# copyright (C) 1994-2015 W. N. Venables and B. D. Ripley
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 or 3 of the License
# (at your option).
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# A copy of the GNU General Public License is available at
# http://www.r-project.org/Licenses/
#
mvrnorm <-
function(n = 1, mu, Sigma, tol=1e-6, empirical = FALSE, EISPACK = FALSE)
{
p <- length(mu)
if(!all(dim(Sigma) == c(p,p))) stop("incompatible arguments")
if(EISPACK) stop("'EISPACK' is no longer supported by R", domain = NA)
eS <- eigen(Sigma, symmetric = TRUE)
ev <- eS$values
if(!all(ev >= -tol*abs(ev[1L]))) stop("'Sigma' is not positive definite")
X <- matrix(rnorm(p * n), n)
if(empirical) {
X <- scale(X, TRUE, FALSE) # remove means
X <- X %*% svd(X, nu = 0)$v # rotate to PCs
X <- scale(X, FALSE, TRUE) # rescale PCs to unit variance
}
X <- drop(mu) + eS$vectors %*% diag(sqrt(pmax(ev, 0)), p) %*% t(X)
nm <- names(mu)
if(is.null(nm) && !is.null(dn <- dimnames(Sigma))) nm <- dn[[1L]]
dimnames(X) <- list(nm, NULL)
if(n == 1) drop(X) else t(X)
}
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