#' Calculate abundance weighted NND
#'
#' @description Calculates abundance weighted minimum
#'
#' @param x a vector or matrix of numerical values
#' @param w a vector or matrix of numerical weights whose positions
#' correspond to the values in \code{x}.
#' @param na.rm A logical indicating whether to ignore missing values.
#'
#' @return A numerical value
#'
#' @author Sam Levin
#'
#' @seealso \code{\link[stats]{weighted.mean}}
#'
#' @export
weighted.min <- function (x, w, na.rm = FALSE)
{
if (missing(w)) {
if (na.rm)
x <- x[!is.na(x)]
return(sum(x)/length(x))
}
if (length(w) != length(x))
stop("'x' and 'w' must have the same length")
w <- as.double(w)
if (na.rm) {
i <- !is.na(x)
w <- w[i]
x <- x[i]
}
min(((x * w)[w != 0])/sum(w))
}
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