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

Usage Arguments Examples

1	trimww(J, K, x, grp = c(1:p), p = J * K, tr = 0.2)

`J`
`K`
`x`
`grp`
`p`
`tr`

##---- 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 (J, K, x, grp = c(1:p), p = J * K, tr = 0.2) 
{
    if (is.list(x)) 
        x <- elimna(matl(x))
    if (is.matrix(x)) 
        x <- elimna(x)
    data <- x
    if (is.matrix(data)) 
        data <- listm(data)
    if (!is.list(data)) 
        stop("Data are not stored in list mode or a matrix")
    if (p != length(data)) {
        print("The total number of groups, based on the specified levels, is")
        print(p)
        print("The number of groups stored in x is")
        print(length(data))
        print("Warning: These two values are not equal")
    }
    if (p != length(grp)) 
        stop("Apparently a subset of the groups was specified that does not match the total number of groups indicated by the values for J and K.")
    tmeans <- 0
    h <- length(data[[grp[1]]])
    v <- matrix(0, p, p)
    for (i in 1:p) tmeans[i] <- mean(data[[grp[i]]], tr = tr, 
        na.rm = TRUE)
    v <- covmtrim(data, tr = tr)
    ij <- matrix(c(rep(1, J)), 1, J)
    ik <- matrix(c(rep(1, K)), 1, K)
    jm1 <- J - 1
    cj <- diag(1, jm1, J)
    for (i in 1:jm1) cj[i, i + 1] <- 0 - 1
    km1 <- K - 1
    ck <- diag(1, km1, K)
    for (i in 1:km1) ck[i, i + 1] <- 0 - 1
    cmat <- kron(cj, ik)
    Qa <- trimww.sub(cmat, tmeans, v, h, J, K)
    Qa.siglevel <- 1 - pf(Qa, J - 1, 999)
    cmat <- kron(ij, ck)
    Qb <- trimww.sub(cmat, tmeans, v, h, J, K)
    Qb.siglevel <- 1 - pf(Qb, K - 1, 999)
    cmat <- kron(cj, ck)
    Qab <- trimww.sub(cmat, tmeans, v, h, J, K)
    Qab.siglevel <- 1 - pf(Qab, (J - 1) * (K - 1), 999)
    list(Qa = Qa, Qa.siglevel = Qa.siglevel, Qb = Qb, Qb.siglevel = Qb.siglevel, 
        Qab = Qab, Qab.siglevel = Qab.siglevel)
  }