b2ci:

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

Usage

b2ci(x, y, alpha = 0.05, nboot = 2000, est = bivar, ...)

Arguments

x
y
alpha
nboot
est
...

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, alpha = 0.05, nboot = 2000, est = bivar, ...) 
{
    x <- x[!is.na(x)]
    y <- y[!is.na(y)]
    set.seed(2)
    print("Taking bootstrap samples. Please wait.")
    datax <- matrix(sample(x, size = length(x) * nboot, replace = T), 
        nrow = nboot)
    datay <- matrix(sample(y, size = length(y) * nboot, replace = T), 
        nrow = nboot)
    bvecx <- apply(datax, 1, est, ...)
    bvecy <- apply(datay, 1, est, ...)
    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))
    list(ci = c(bvec[low], bvec[up]), p.value = sig.level)
  }

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