1 | anc2COV.CV(n1, n2, iter = 1000, alpha = 0.05, FRAC = 0.5, SEED = TRUE, MC = FALSE, TPM = FALSE, tau = 0.05)
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n1 |
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n2 |
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iter |
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alpha |
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FRAC |
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SEED |
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MC |
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TPM |
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tau |
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 | ##---- 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 (n1, n2, iter = 1000, alpha = 0.05, FRAC = 0.5, SEED = TRUE,
MC = FALSE, TPM = FALSE, tau = 0.05)
{
if (SEED)
set.seed(2)
n = max(c(n1, n2))
data = list()
for (i in 1:iter) {
x = rmul(n, p = 6)
N = n - min(c(n1, n2))
if (N > 0)
x[1:N, 1:3] = NA
data[[i]] = x
}
if (MC) {
library(parallel)
res = mclapply(data, anc2COV.sub, FRAC = FRAC, TPM = TPM,
tau = tau)
}
if (!MC)
res = lapply(data, anc2COV.sub, FRAC = FRAC, TPM = TPM,
tau = tau)
M = as.vector(list2mat(res))
M = sort(M)
ic = round(alpha * iter)
crit = M[ic]
list(crit.val = crit, M = M)
}
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