covmmed:

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

Usage

covmmed(x, p = length(x), grp = c(1:p), q = 0.5)

Arguments

x
p
grp
q

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, p = length(x), grp = c(1:p), q = 0.5) 
{
    if (is.matrix(x)) 
        x <- listm(x)
    if (!is.list(x)) 
        stop("The data are not stored in a matrix or list mode.")
    p <- length(grp)
    pm1 <- p - 1
    for (i in 1:pm1) {
        ip <- i + 1
        if (length(x[[grp[ip]]]) != length(x[[grp[i]]])) 
            stop("The number of observations in each group must be equal")
    }
    n <- length(x[[grp[1]]])
    covest <- matrix(0, p, p)
    for (j in 1:p) {
        for (k in 1:p) {
            if (j == k) 
                covest[j, j] <- cov2med(x[[grp[j]]], q = q)
            if (j < k) {
                covest[j, k] <- cov2med(x[[grp[j]]], x[[grp[k]]], 
                  q = q)
                covest[k, j] <- covest[j, k]
            }
        }
    }
    covest
  }

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