med2ci:

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

Usage

med2ci(x, cc = 4, alpha = 0.05)

Arguments

x
cc
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, cc = 4, alpha = 0.05) 
{
    up <- 1 - alpha/2
    n <- length(x)
    med <- median(x)
    ln <- floor(n/2) - ceiling(sqrt(n/cc))
    un <- n - ln
    low <- ln + 1
    d <- sort(x)
    if (ln > 0) {
        d[1:ln] <- d[(low)]
        d[(un + 1):n] <- d[un]
    }
    den <- ((un - ln)/n)^2
    swv <- var(d)/den
    rdf <- un - low
    rval <- qt(up, rdf) * sqrt(swv/n)
    rlo <- med - rval
    rhi <- med + rval
    list(int = c(rlo, rhi), med = med, swv = swv)
  }

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