ancovaV2.pv:

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

Usage

ancovaV2.pv(n1, n2, nreps = 2000, MC = FALSE, qpts = FALSE, qvals = c(0.25, 0.5, 0.75), nboot = 500, SEED = TRUE, est = tmean, alpha = 0.05)

Arguments

n1
n2
nreps
MC
qpts
qvals
nboot
SEED
est
alpha

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, nreps = 2000, MC = FALSE, qpts = FALSE, qvals = c(0.25, 
    0.5, 0.75), nboot = 500, SEED = TRUE, est = tmean, alpha = 0.05) 
{
    iter = nreps
    if (SEED) 
        set.seed(45)
    xy = list()
    for (i in 1:iter) {
        xy[[i]] = list()
        xy[[i]][[1]] = rnorm(n1)
        xy[[i]][[2]] = rnorm(n1)
        xy[[i]][[3]] = rnorm(n2)
        xy[[i]][[4]] = rnorm(n2)
    }
    if (!MC) 
        pv = lapply(xy, ancovaV2pv.sub, qpts = qpts, qvals = qvals, 
            nboot = nboot, MC = FALSE, est = est)
    if (MC) {
        library(parallel)
        pv = mclapply(xy, ancovaV2pv.sub, qpts = qpts, qvals = qvals, 
            nboot = nboot, MC = FALSE, est = est)
    }
    pv = as.vector(matl(pv))
    p = hd(pv, q = alpha)
    list(p.crit = p)
  }

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