bicov:

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

Usage

bicov(x, y)

Arguments

x
y

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) 
{
    mx <- median(x)
    my <- median(y)
    ux <- abs((x - mx)/(9 * qnorm(0.75) * mad(x)))
    uy <- abs((y - my)/(9 * qnorm(0.75) * mad(y)))
    aval <- ifelse(ux <= 1, 1, 0)
    bval <- ifelse(uy <= 1, 1, 0)
    top <- sum(aval * (x - mx) * (1 - ux^2)^2 * bval * (y - my) * 
        (1 - uy^2)^2)
    top <- length(x) * top
    botx <- sum(aval * (1 - ux^2) * (1 - 5 * ux^2))
    boty <- sum(bval * (1 - uy^2) * (1 - 5 * uy^2))
    bi <- top/(botx * boty)
    bi
  }

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