bg2ci:

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

Usage

bg2ci(x, alpha = 0.05)

Arguments

x
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 (x, alpha = 0.05) 
{
    n <- length(x)
    up <- 1 - alpha/2
    med <- median(x)
    ln <- max(1, floor(n/2) - ceiling(0.5 * n^0.8))
    un <- n - ln
    rdf <- un - ln - 1
    cut <- qt(up, rdf)
    d <- sort(x)
    se2 <- (d[un] - d[ln])/(2 * n^0.3)
    rval <- cut * se2
    rlo2 <- med - rval
    rhi2 <- med + rval
    list(int = c(rlo2, rhi2), med = med, se2 = se2)
  }

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