1 |
x |
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est |
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grp |
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nboot |
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SEED |
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MC |
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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 | ##---- 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, est = skipSPR, grp = NA, nboot = 500, SEED = TRUE,
MC = FALSE, ...)
{
if (MC)
library(parallel)
if (!is.list(x) && !is.matrix(x))
stop("Data must be stored in a matrix or in list mode.")
if (is.list(x)) {
mat <- matrix(0, length(x[[1]]), length(x))
for (j in 1:length(x)) mat[, j] <- x[[j]]
}
if (is.matrix(x))
mat <- x
if (!is.na(grp[1])) {
mat <- mat[, grp]
}
mat <- elimna(mat)
center = est(mat, ...)$center
if (SEED)
set.seed(2)
data <- matrix(sample(nrow(mat), size = nrow(mat) * nboot,
replace = T), nrow = nboot)
data = listm(t(data))
if (MC)
bvec <- mclapply(data, rmdG_sub, mat, est, mc.preschedule = TRUE,
...)
if (!MC)
bvec <- lapply(data, rmdG_sub, mat, est, ...)
bvec = t(matl(bvec))
J <- ncol(mat)
jp <- 0
Jall <- (J^2 - J)/2
dif <- matrix(NA, nrow = nboot, ncol = Jall)
ic <- 0
cdif = NA
for (j in 1:J) {
for (k in 1:J) {
if (j < k) {
ic <- ic + 1
dif[, ic] <- bvec[, j] - bvec[, k]
cdif[ic] = center[j] - center[k]
}
}
}
if (J == 2) {
pv = mean(bvec[, 1] < bvec[, 2]) + 0.5 * mean(bvec[,
1] == bvec[, 2])
sig.level = 2 * min(c(pv, 1 - pv))
}
if (J > 2) {
zvec <- rep(0, Jall)
m1 <- rbind(dif, zvec)
bplus <- nboot + 1
cmat = var(dif)
dv <- pdisMC(m1, center = cdif)
bplus <- nboot + 1
sig.level <- 1 - sum(dv[bplus] >= dv[1:nboot])/nboot
}
list(p.value = sig.level, center = center)
}
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