1 |
J |
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K |
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L |
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x |
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tr |
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alpha |
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dif |
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op |
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grp |
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 58 | ##---- 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, x, tr = 0.2, alpha = 0.05, dif = TRUE, op = FALSE,
grp = NA)
{
if (is.data.frame(x))
x = as.matrix(x)
JKL <- J * K * L
if (is.matrix(x))
x <- listm(x)
if (!is.na(grp[1])) {
yy <- x
x <- list()
for (j in 1:length(grp)) x[[j]] <- yy[[grp[j]]]
}
if (!is.list(x))
stop("Data must be stored in list mode or a matrix.")
for (j in 1:JKL) {
xx <- x[[j]]
x[[j]] <- xx[!is.na(xx)]
}
if (JKL != length(x))
warning("The number of groups does not match the number of contrast coefficients.")
for (j in 1:JKL) {
temp <- x[[j]]
temp <- temp[!is.na(temp)]
x[[j]] <- temp
}
temp <- con3way(J, K, L)
conA <- temp$conA
conB <- temp$conB
conC <- temp$conC
conAB <- temp$conAB
conAC <- temp$conAC
conBC <- temp$conBC
conABC <- temp$conABC
Factor.A <- rmmcp(x, con = conA, tr = tr, alpha = alpha,
dif = dif)
Factor.B <- rmmcp(x, con = conB, tr = tr, alpha = alpha,
dif = dif)
Factor.C <- rmmcp(x, con = conC, tr = tr, alpha = alpha,
dif = dif)
Factor.AB <- rmmcp(x, con = conAB, tr = tr, alpha = alpha,
dif = dif)
Factor.AC <- rmmcp(x, con = conAC, tr = tr, alpha = alpha,
dif = dif)
Factor.BC <- rmmcp(x, con = conBC, tr = tr, alpha = alpha,
dif = dif)
Factor.ABC <- rmmcp(x, con = conABC, tr = tr, alpha = alpha,
dif = dif)
list(Factor.A = Factor.A, Factor.B = Factor.B, Factor.C = Factor.C,
Factor.AB = Factor.AB, Factor.AC = Factor.AC, Factor.BC = Factor.BC,
Factor.ABC = Factor.ABC, conA = conA, conB = conB, conC = conC,
conAB = conAB, conAC = conAC, conBC = conBC, conABC = conABC)
}
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