bootcov:

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

Usage

bootcov(x, est = median, nboot = 100, pr = TRUE, SEED = FALSE, ...)

Arguments

x
est
nboot
pr
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, est = median, nboot = 100, pr = TRUE, SEED = FALSE, 
    ...) 
{
    if (SEED) 
        set.seed(2)
    if (is.list(x)) 
        x <- matl(x)
    x <- elimna(x)
    bvec <- matrix(NA, ncol = ncol(x), nrow = nboot)
    if (pr) 
        print("Taking Bootstrap Samples. Please wait.")
    for (i in 1:nboot) {
        data <- sample(nrow(x), size = nrow(x), replace = TRUE)
        bvec[i, ] <- apply(x[data, ], 2, FUN = est, ...)
    }
    covmat <- var(bvec)
    covmat
  }

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