qdtest:

In musto101/wilcox_R: What the package does (short line)

Usage

qdtest(x, y = NA, q = 0.5, bop = FALSE, nboot = 100, se.val = NA)

Arguments

x
y
q
bop
nboot
se.val

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (x, y = NA, q = 0.5, bop = FALSE, nboot = 100, se.val = NA) 
{
    if (!is.na(y[1])) 
        x <- cbind(x, y)
    if (!is.matrix(x)) 
        stop("Something is wrong, with x or y")
    x <- elimna(x)
    y <- x[, 2]
    x <- x[, 1]
    n <- length(y)
    df <- n - 1
    if (is.na(se.val[1])) {
        if (!bop) 
            se.val <- sedm(x, y, q = q)
        if (bop) 
            se.val <- bootdse(x, y, est = qest, q = q, pr = FALSE, 
                nboot = nboot)
    }
    test <- (qest(x, q) - qest(y, q))/se.val
    sig.level <- 2 * (1 - pt(abs(test), df))
    list(test.stat = test, p.value = sig.level, se = se.val)
  }

musto101/wilcox_R documentation built on May 23, 2019, 10:52 a.m.