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weighted.sd <- function(x, weights = NULL, na.rm = FALSE) {
if(is.null(weights)) weights <- rep(1, length(x))
if(any(is.na(weights))) stop("There are empty values in weights.")
if(na.rm) {
complete <- !is.na(x)
x <- x[complete]
weights <- weights[complete]
} else {
if(any(is.na(x))) stop("There are empty values in x. \nPlease consider transforming your data (filtering, recoding, imputation, etc.) or set na.rm to TRUE.")
}
mx <- stats::weighted.mean(x, weights)
var <- stats::weighted.mean((x-mx)^2, weights)
sd <- sqrt(var)
return(sd)
}
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