1 |
x |
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y |
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alpha |
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plotit |
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pop |
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fr |
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rval |
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xlab |
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ylab |
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 41 42 43 44 45 46 47 | ##---- 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, plotit = FALSE, pop = 0, fr = 0.8,
rval = 15, xlab = "", ylab = "")
{
nullval <- 0
ci <- cid(x, y, alpha = alpha, plotit = plotit, pop = pop,
fr = fr, rval = rval)
alph <- c(1:99)/100
for (i in 1:99) {
irem <- i
chkit <- cid(x, y, alpha = alph[i], plotit = FALSE)
if (chkit[[3]] > nullval || chkit[[4]] < nullval)
break
}
p.value <- irem/100
if (p.value <= 0.1) {
iup <- (irem + 1)/100
alph <- seq(0.001, iup, 0.001)
for (i in 1:length(alph)) {
p.value <- alph[i]
chkit <- cid(x, y, alpha = alph[i], plotit = FALSE,
xlab = xlab, ylab = ylab)
if (chkit[[3]] > nullval || chkit[[4]] < nullval)
break
}
}
if (p.value <= 0.001) {
alph <- seq(1e-04, 0.001, 1e-04)
for (i in 1:length(alph)) {
p.value <- alph[i]
chkit <- cid(x, y, alpha = alph[i], plotit = FALSE)
if (chkit[[3]] > nullval || chkit[[4]] < nullval)
break
}
}
phat <- (1 - ci$d)/2
pci = c((1 - ci$cu)/2, (1 - ci$cl)/2)
d.ci = c(ci$cl, ci$cu)
dval = cid(x, y)$summary.dvals
list(n1 = length(elimna(x)), n2 = length(elimna(y)), d.hat = ci$d,
d.ci = d.ci, p.value = p.value, p.hat = phat, p.ci = pci,
summary.dvals = dval)
}
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