1 |
x |
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mbox |
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gval |
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plotit |
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STAND |
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 | ##---- 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, mbox = FALSE, gval = NA, plotit = FALSE, STAND = FALSE)
{
x <- x[!is.na(x)]
if (plotit)
boxplot(x)
n <- length(x)
temp <- idealf(x)
if (mbox) {
if (is.na(gval))
gval <- (17.63 * n - 23.64)/(7.74 * n - 3.71)
cl <- median(x) - gval * (temp$qu - temp$ql)
cu <- median(x) + gval * (temp$qu - temp$ql)
}
if (!mbox) {
if (is.na(gval))
gval <- 1.5
cl <- temp$ql - gval * (temp$qu - temp$ql)
cu <- temp$qu + gval * (temp$qu - temp$ql)
}
flag <- NA
outid <- NA
vec <- c(1:n)
for (i in 1:n) {
flag[i] <- (x[i] < cl || x[i] > cu)
}
if (sum(flag) == 0)
outid <- NULL
if (sum(flag) > 0)
outid <- vec[flag]
keep <- vec[!flag]
outval <- x[flag]
n.out = sum(length(outid))
list(out.val = outval, out.id = outid, keep = keep, n = n,
n.out = n.out, cl = cl, cu = cu)
}
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