1 |
x |
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y |
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nboot |
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alpha |
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SEED |
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plotit |
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STAND |
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corfun |
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cop |
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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 | ##---- 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, nboot = 1000, alpha = 0.05, SEED = TRUE, plotit = TRUE,
STAND = TRUE, corfun = pcor, cop = 3, ...)
{
library(parallel)
if (ncol(as.matrix(x)) != 1)
stop("x should be a single vector")
m1 = cbind(x, y)
m1 <- elimna(m1)
nval = nrow(m1)
x <- m1[, 1]
y <- m1[, 2]
est <- scor(x, y, plotit = plotit, STAND = STAND, corfun = corfun,
cop = cop, ...)$cor
if (SEED)
set.seed(2)
data <- matrix(sample(length(y), size = length(y) * nboot,
replace = TRUE), nrow = nboot)
data = listm(t(data))
bvec <- mclapply(data, scorsubMC, x, y, STAND = STAND, corfun = corfun,
cop = cop, ...)
bvec = matl(bvec)
bvec = as.vector(bvec)
ihi <- floor((1 - alpha/2) * nboot + 0.5)
ilow <- floor((alpha/2) * nboot + 0.5)
bsort <- sort(bvec)
corci <- 1
corci[1] <- bsort[ilow]
corci[2] <- bsort[ihi]
phat <- sum(bvec < 0)/nboot
sig <- 2 * min(phat, 1 - phat)
list(cor.ci = corci, p.value = sig, cor.est = est)
}
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