qcom.sub:

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

Usage

qcom.sub(x, y, q, alpha = 0.05, nboot = 2000, SEED = TRUE)

Arguments

x
y
q
alpha
nboot
SEED

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, q, alpha = 0.05, nboot = 2000, SEED = TRUE) 
{
    x <- x[!is.na(x)]
    y <- y[!is.na(y)]
    if (SEED) 
        set.seed(2)
    datax <- matrix(sample(x, size = length(x) * nboot, replace = TRUE), 
        nrow = nboot)
    datay <- matrix(sample(y, size = length(y) * nboot, replace = TRUE), 
        nrow = nboot)
    datax = listm(t(datax))
    datay = listm(t(datay))
    bvecx <- mclapply(datax, hd, q, mc.preschedule = TRUE)
    bvecy <- mclapply(datay, hd, q, mc.preschedule = TRUE)
    bvecx = as.vector(matl(bvecx))
    bvecy = as.vector(matl(bvecy))
    bvec <- sort(bvecx - bvecy)
    low <- round((alpha/2) * nboot) + 1
    up <- nboot - low
    temp <- sum(bvec < 0)/nboot + sum(bvec == 0)/(2 * nboot)
    sig.level <- 2 * (min(temp, 1 - temp))
    se <- var(bvec)
    list(est.1 = hd(x, q), est.2 = hd(y, q), ci = c(bvec[low], 
        bvec[up]), p.value = sig.level, sq.se = se, n1 = length(x), 
        n2 = length(y))
  }

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