1 | trimcimul(x, tr = 0.2, alpha = 0.05, null.value = 0)
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x |
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tr |
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alpha |
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null.value |
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 48 49 50 51 52 53 54 55 56 57 58 59 60 | ##---- 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, tr = 0.2, alpha = 0.05, null.value = 0)
{
if (!is.matrix(x))
x <- matl(x)
if (!is.matrix(x))
stop("Data must be stored in a matrix or in list mode.")
J <- ncol(x)
xbar <- vector("numeric", J)
ncon <- J
if (alpha == 0.05) {
dvec <- c(0.05, 0.025, 0.0169, 0.0127, 0.0102, 0.00851,
0.0073, 0.00639, 0.00568, 0.00511)
if (ncon > 10) {
avec <- 0.05/c(11:ncon)
dvec <- c(dvec, avec)
}
}
if (alpha == 0.01) {
dvec <- c(0.01, 0.005, 0.00334, 0.00251, 0.00201, 0.00167,
0.00143, 0.00126, 0.00112, 0.00101)
if (ncon > 10) {
avec <- 0.01/c(11:ncon)
dvec <- c(dvec, avec)
}
}
if (alpha != 0.05 && alpha != 0.01)
dvec <- alpha/c(1:ncon)
psihat <- matrix(0, J, 4)
dimnames(psihat) <- list(NULL, c("Variable", "estimate",
"ci.lower", "ci.upper"))
test <- matrix(0, J, 5)
dimnames(test) <- list(NULL, c("Variable", "test", "p.value",
"p.crit", "se"))
temp1 <- NA
nval = NULL
for (d in 1:J) {
psihat[d, 1] <- d
dval = na.omit(x[, d])
nval[d] = length(dval)
temp = trimci(dval, tr = tr, pr = FALSE, null.value = null.value)
test[d, 1] <- d
test[d, 2] <- temp$test.stat
test[d, 3] = temp$p.value
test[d, 5] <- temp$se
psihat[d, 2] <- temp$estimate
psihat[d, 3] <- temp$ci[1]
psihat[d, 4] <- temp$ci[2]
}
temp1 = test[, 3]
temp2 <- order(0 - temp1)
zvec <- dvec[1:ncon]
test[temp2, 4] <- zvec
num.sig = sum(test[, 3] <= test[, 4])
list(n = nval, test = test, psihat = psihat, num.sig = num.sig)
}
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