msplit:

Usage Arguments Examples

Usage

1
msplit(J, K, data, grp = c(1:p), p = J * K, q = 0.5)

Arguments

J
K
data
grp
p
q

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
##---- 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, data, grp = c(1:p), p = J * K, q = 0.5) 
{
    x <- data
    if (is.matrix(x)) {
        y <- list()
        for (j in 1:ncol(x)) y[[j]] <- x[, j]
        data <- y
    }
    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 in data 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 <- 0
    v <- matrix(0, p, p)
    klow <- 1 - K
    kup <- 0
    for (i in 1:p) tmeans[i] <- qest(data[[grp[i]]], q = q)
    for (j in 1:J) {
        h[j] <- length(data[[grp[j]]])
        klow <- klow + K
        kup <- kup + K
        sel <- c(klow:kup)
        v[sel, sel] <- covmmed(data[grp[klow:kup]], q = q)
    }
    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 <- johansp(cmat, tmeans, v, h, J, K)
    Qa.siglevel <- 1 - pf(Qa$teststat, J - 1, 999)
    cmat <- kron(ij, ck)
    Qb <- johansp(cmat, tmeans, v, h, J, K)
    Qb.siglevel <- 1 - pf(Qb$teststat, K - 1, 999)
    cmat <- kron(cj, ck)
    Qab <- johansp(cmat, tmeans, v, h, J, K)
    Qab.siglevel <- 1 - pf(Qab$teststat, (J - 1) * (K - 1), 999)
    list(Qa = Qa$teststat, Qa.siglevel = Qa.siglevel, Qb = Qb$teststat, 
        Qb.siglevel = Qb.siglevel, Qab = Qab$teststat, Qab.siglevel = Qab.siglevel)
  }

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