R/rowSe.R

rowSe <- function (x, na.rm = TRUE) {
    if (na.rm) {
        n <- rowSums(!is.na(x))
    } else {
        n <- nrow(x)
    }
    rowVar <- rowMeans(x*x, na.rm = na.rm) - (rowMeans(x, na.rm = na.rm))^2
    return(sqrt(rowVar/n))
}
mcanouil/myScriptsMickael documentation built on May 22, 2019, 12:59 p.m.