Nothing
#' Generate a covariance matrix using a correlation matrix and vector of
#' standard deviations
#'
#' @param C A correlation matrix.
#' @param S A vector of standard deviations.
#'
#' @returns A covariance matrix
#' @examples
#' C <- matrix(c(1,-0.3,0.7,-0.3,1,-0.2,0.7,-0.2,1), 3, 3)
#' S <- c(0.5, 2, 1.25)
#' cor2cov(C,S)
#' @export
cor2cov <- function(C, S) {
if (!is.matrix(C)) {
warning("C must be a matrix")
return(NULL) # Exit to prevent crash
}
if (!is.vector(S)){
warning("S must be a vector")
return(NULL) # Exit to prevent crash
}
if (length(S) != nrow(C)) {
msg <- paste0("S must have the same length (", length(S),
") as the number of rows/columns in C (", nrow(C), ")")
warning(msg)
return(NULL) # Exit to prevent crash
}
sweep(sweep(C, 1, S, "*"), 2, S, "*")
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.