bwwtrim:

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

Usage

bwwtrim(J, K, L, data, tr = 0.2, grp = c(1:p), alpha = 0.05, p = J * K * L)

Arguments

J
K
L
data
tr
grp
alpha
p

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 (J, K, L, data, tr = 0.2, grp = c(1:p), alpha = 0.05, 
    p = J * K * L) 
{
    if (is.data.frame(data)) 
        data = as.matrix(data)
    if (is.list(data)) 
        data = bwwna(J, K, L, data)
    if (is.matrix(data)) 
        data = bwwmatna(J, K, L, data)
    if (!is.list(data)) 
        stop("The 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 in data is")
        print(length(data))
        print("Warning: These two values are not equal")
    }
    tmeans <- 0
    h <- 0
    v <- 0
    for (i in 1:p) {
        tmeans[i] <- mean(data[[grp[i]]], tr)
        h[i] <- length(data[[grp[i]]]) - 2 * floor(tr * length(data[[grp[i]]]))
    }
    v = bwwcovm(J, K, L, data, tr = tr)
    ij <- matrix(c(rep(1, J)), 1, J)
    ik <- matrix(c(rep(1, K)), 1, K)
    il <- matrix(c(rep(1, L)), 1, L)
    jm1 <- J - 1
    cj <- diag(1, jm1, J)
    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
    lm1 <- L - 1
    cl <- diag(1, lm1, L)
    for (i in 1:lm1) cl[i, i + 1] <- 0 - 1
    cmat <- kron(cj, kron(ik, il))
    Qa = bwwtrim.sub(cmat, tmeans, v, h, p)
    Qa.siglevel <- 1 - pf(Qa, J - 1, 999)
    cmat <- kron(ij, kron(ck, il))
    Qb = bwwtrim.sub(cmat, tmeans, v, h, p)
    Qb.siglevel <- 1 - pf(Qb, K - 1, 999)
    cmat <- kron(ij, kron(ik, cl))
    Qc <- bwwtrim.sub(cmat, tmeans, v, h, p)
    Qc.siglevel <- 1 - pf(Qc, L - 1, 999)
    cmat <- kron(cj, kron(ck, il))
    Qab <- bwwtrim.sub(cmat, tmeans, v, h, p)
    Qab.siglevel <- 1 - pf(Qab, (J - 1) * (K - 1), 999)
    cmat <- kron(cj, kron(ik, cl))
    Qac <- bwwtrim.sub(cmat, tmeans, v, h, p)
    Qac.siglevel <- 1 - pf(Qac, (J - 1) * (L - 1), 999)
    cmat <- kron(ij, kron(ck, cl))
    Qbc <- bwwtrim.sub(cmat, tmeans, v, h, p)
    Qbc.siglevel <- 1 - pf(Qbc, (K - 1) * (L - 1), 999)
    cmat <- kron(cj, kron(ck, cl))
    Qabc <- bwwtrim.sub(cmat, tmeans, v, h, p)
    Qabc.siglevel <- 1 - pf(Qabc, (J - 1) * (K - 1) * (L - 1), 
        999)
    list(Qa = Qa, Qa.p.value = Qa.siglevel, Qb = Qb, Qb.p.value = Qb.siglevel, 
        Qc = Qc, Qc.p.value = Qc.siglevel, Qab = Qab, Qab.p.value = Qab.siglevel, 
        Qac = Qac, Qac.p.value = Qac.siglevel, Qbc = Qbc, Qbc.p.value = Qbc.siglevel, 
        Qabc = Qabc, Qabc.p.value = Qabc.siglevel)
  }

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