1  | med1way.crit(n, alpha = 0.05, iter = 1000, TEST = NA, SEED = TRUE)
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n | 
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alpha | 
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iter | 
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TEST | 
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SEED | 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34  | ##---- 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 (n, alpha = 0.05, iter = 1000, TEST = NA, SEED = TRUE) 
{
    J <- length(n)
    x <- list()
    w <- vector("numeric", J)
    xbar <- vector("numeric", J)
    if (SEED) 
        set.seed(2)
    chk <- NA
    grp <- c(1:J)
    for (it in 1:iter) {
        for (j in 1:J) {
            x[[j]] <- rnorm(n[j])
            w[j] <- 1/msmedse(x[[grp[j]]])^2
            xbar[j] <- median(x[[grp[j]]])
            n[j] <- length(x[[grp[j]]])
        }
        u <- sum(w)
        xtil <- sum(w * xbar)/u
        chk[it] <- sum(w * (xbar - xtil)^2)/(J - 1)
    }
    chk <- sort(chk)
    iv <- round((1 - alpha) * iter)
    crit.val <- chk[iv]
    pval <- NA
    if (!is.na(TEST)) 
        pval <- sum((TEST <= chk))/iter
    list(crit.val = crit.val, p.value = pval)
  }
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