1 |
x |
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sigmamu |
|
v |
|
op |
|
SEED |
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beta |
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n.iter |
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plotit |
|
... |
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 | ##---- 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, sigmamu = taulc, v = gkcov, op = TRUE, SEED = FALSE,
beta = max(c(0.95, min(c(0.99, 1/nrow(x) + 0.94)))), n.iter = 1,
plotit = TRUE, ...)
{
if (!is.matrix(x))
stop("x should be a matrix")
x <- elimna(x)
if (!op) {
temp <- ogk.pairwise(x, sigmamu = sigmamu, v = v, beta = beta,
n.iter = n.iter, ...)
vals <- hard.rejection(temp$distances, p = ncol(x), beta = beta,
...)
flag <- (vals == 1)
vals <- c(1:nrow(x))
outid <- vals[!flag]
keep <- vals[flag]
if (is.matrix(x)) {
if (ncol(x) == 2 && plotit) {
plot(x[, 1], x[, 2], xlab = "X", ylab = "Y",
type = "n")
points(x[flag, 1], x[flag, 2])
if (sum(!flag) > 0)
points(x[!flag, 1], x[!flag, 2], pch = "o")
}
}
}
if (op) {
temp <- out(x, cov.fun = ogk, beta = beta, plotit = plotit,
SEED = SEED)
outid <- temp$out.id
keep <- temp$keep
}
list(out.id = outid, keep = keep, distances = temp$dis)
}
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