1 |
x |
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y |
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alpha |
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bend |
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nboot |
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SEED |
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 | ##---- 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, alpha = 0.05, bend = 1.28, nboot = 599, SEED = TRUE)
{
if (SEED)
set.seed(2)
T <- bsqrm(x, y, alpha, bend)$teststat
TT <- 0
bsqrmbt <- numeric(2)
xone <- onestep(x, bend = bend)
yone <- onestep(y, bend = bend)
for (j in 1:nboot) {
xx <- (sample(x, length(x), replace = TRUE) - xone)
yy <- (sample(y, length(y), replace = TRUE) - yone)
TT[j] <- bsqrm(xx, yy, alpha, bend)$teststat
}
TT <- sort(TT)
bott <- round(alpha * nboot) + 1
bsqrmbt <- TT[nboot - bott]
pv = mean(T <= TT)
list(critval = bsqrmbt, teststat = TRUE, p.value = pv)
}
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