1 |
x |
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y |
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xout |
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outfun |
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ISO |
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STAND |
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alpha |
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pr |
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BLO |
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HC3 |
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... |
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 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | ##---- 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, y, xout = TRUE, outfun = outpro, ISO = FALSE, STAND = TRUE,
alpha = 0.05, pr = TRUE, BLO = FALSE, HC3 = FALSE, ...)
{
if (!is.list(x))
stop("Argument x should have list mode")
if (!is.list(y))
stop("Argument y should have list mode")
J = length(x)
x = lapply(x, as.matrix)
pchk = lapply(x, ncol)
temp = matl(pchk)
if (var(as.vector(temp)) != 0)
stop("Something is wrong. \nNumber of covariates differs among the groups being compared")
nv = NULL
p = ncol(x[[1]])
p1 = p + 1
for (j in 1:J) {
xy = elimna(cbind(x[[j]], y[[j]]))
x[[j]] = xy[, 1:p]
y[[j]] = xy[, p1]
x[[j]] = as.matrix(x[[j]])
nv = c(nv, nrow(x[[j]]))
}
nv.keep = nv
critrad = NULL
if (xout) {
temp = lapply(x, outfun, plotit = FALSE, STAND = STAND,
...)
for (j in 1:J) {
x[[j]] = x[[j]][temp[[j]]$keep, ]
y[[j]] = y[[j]][temp[[j]]$keep]
nv.keep[j] = length(y[[j]])
}
}
tot = (J^2 - J)/2
dvec <- alpha/c(1:tot)
outl = list()
nr = tot * p1
outp = matrix(NA, ncol = 5, nrow = tot)
x = lapply(x, as.matrix)
xx = list()
yy = list()
iall = 0
ivp = c(1, tot) - tot
i = 0
for (j in 1:J) {
for (k in 1:J) {
if (j < k) {
i = i + 1
xx[[1]] = x[[j]]
xx[[2]] = x[[k]]
yy[[1]] = y[[j]]
yy[[2]] = y[[k]]
if (!ISO)
all = ols1way(xx, yy, HC3 = HC3)
if (ISO)
all = ols1wayISO(xx, yy, HC3 = HC3)
temp = all$adjusted.p.value
if (is.null(temp))
temp = all$p.value
outp[i, 1] = j
outp[i, 2] = k
outp[i, 3] = temp
}
}
temp2 <- order(0 - outp[, 3])
icc = c(1:tot)
icc[temp2] = dvec
outp[, 4] = icc
}
flag = (outp[, 3] <= outp[, 4])
outp[, 5] = rep(0, tot)
outp[flag, 5] = 1
dimnames(outp) = list(NULL, c("Group", "Group", "p.value",
"p.crit", "sig"))
list(n = nv, n.keep = nv.keep, output = outp)
}
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