# Copied from github.com/kbroman/broman package
#' @importFrom stats sd runif qnorm
nqrank <- function (x, jitter = FALSE)
{
## qtl::nqrank(x, jitter)
y <- x[!is.na(x)]
themean <- mean(y, na.rm = TRUE)
thesd <- stats::sd(y, na.rm = TRUE)
y[y == Inf] <- max(y[y < Inf]) + 10
y[y == -Inf] <- min(y[y > -Inf]) - 10
if (jitter)
y <- rank(y + stats::runif(length(y)) / (stats::sd(y) * 10^8))
else y <- rank(y)
x[!is.na(x)] <- stats::qnorm((y - 0.5)/length(y))
x * thesd / stats::sd(x, na.rm = TRUE) - mean(x, na.rm = TRUE) + themean
}
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