bicovm:

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

Usage

bicovm(x)

Arguments

x

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) 
{
    if (is.matrix(x)) {
        mcov <- matrix(0, ncol(x), ncol(x))
        mcor <- matrix(0, ncol(x), ncol(x))
        for (i in 1:ncol(x)) {
            for (j in 1:ncol(x)) mcov[i, j] <- bicov(x[, i], 
                x[, j])
        }
    }
    if (is.list(x)) {
        mcov <- matrix(0, length(x), length(x))
        mcor <- matrix(0, length(x), length(x))
        for (i in 1:length(x)) {
            for (j in 1:length(x)) mcov[i, j] <- bicov(x[[i]], 
                x[[j]])
        }
    }
    for (i in 1:ncol(mcov)) {
        for (j in 1:ncol(mcov)) mcor[i, j] <- mcov[i, j]/sqrt(mcov[i, 
            i] * mcov[j, j])
    }
    list(mcov = mcov, mcor = mcor)
  }

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