qcipb:

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

Usage

qcipb(x, q = 0.5, alpha = 0.05, nboot = 2000, SEED = TRUE, nv = 0, ...)

Arguments

x
q
alpha
nboot
SEED
nv
...

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, q = 0.5, alpha = 0.05, nboot = 2000, SEED = TRUE, 
    nv = 0, ...) 
{
    if (SEED) 
        set.seed(2)
    x = elimna(x)
    data <- matrix(sample(x, size = length(x) * nboot, replace = TRUE), 
        nrow = nboot)
    bvec <- apply(data, 1, hd, q = q)
    bvec <- sort(bvec)
    low <- round((alpha/2) * nboot)
    up <- nboot - low
    low <- low + 1
    pv = mean(bvec > nv) + 0.5 * mean(bvec == nv)
    pv = 2 * min(c(pv, 1 - pv))
    estimate = hd(x, q = q)
    list(ci = c(bvec[low], bvec[up]), n = length(x), estimate = estimate, 
        p.value = pv)
  }

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