ancJNmpcp:

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

Usage

ancJNmpcp(n1, n2, regfun = qreg, nreps = 1000, alpha = 0.05, MC = FALSE, SEED = TRUE, cov1 = TRUE, DEEP = TRUE)

Arguments

n1
n2
regfun
nreps
alpha
MC
SEED
cov1
DEEP

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 (n1, n2, regfun = qreg, nreps = 1000, alpha = 0.05, 
    MC = FALSE, SEED = TRUE, cov1 = TRUE, DEEP = TRUE) 
{
    if (MC) 
        library(parallel)
    if (SEED) 
        set.seed(2)
    x = list()
    n = max(c(n1, n2))
    nmiss = n - min(c(n1, n2))
    for (i in 1:nreps) {
        x[[i]] = rmul(n, p = 6)
        if (n1 < n2) {
            if (nmiss > 0) 
                x[[i]][1:nmiss, 1:3] = NA
        }
        if (n1 > n2) {
            if (nmiss > 0) 
                x[[i]][1:nmiss, 4:6] = NA
        }
    }
    if (!MC) 
        vals = lapply(x, ancJNmpcp.sub, regfun = regfun, cov1 = cov1, 
            DEEP = DEEP)
    if (MC) 
        vals = mclapply(x, ancJNmpcp.sub, regfun = regfun, cov1 = cov1, 
            DEEP = DEEP)
    vals = as.vector(matl(vals))
    pc.est = hd(vals, alpha)
    list(pc.est = pc.est)
  }

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