1 |
x |
|
y |
|
pyhat |
|
pts |
|
plotit |
|
nboot |
|
RNA |
|
xlab |
|
ylab |
|
op |
|
xout |
|
eout |
|
pr |
|
fr |
|
scat |
|
outfun |
|
SEED |
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 | ##---- 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, pyhat = FALSE, pts = x, plotit = TRUE, nboot = 40,
RNA = TRUE, xlab = "X", ylab = "VAR(Y|X)", op = 2, xout = T,
eout = FALSE, pr = TRUE, fr = 0.6, scat = TRUE, outfun = out,
SEED = TRUE)
{
if (SEED)
set.seed(2)
temp <- cbind(x, y)
temp <- elimna(temp)
x <- temp[, 1]
y <- temp[, 2]
if (op == 2) {
if (pr) {
print("Running interval method plus bagging has been chosen")
print("op=1 will use Fan's method plus bagging")
}
}
if (op == 1) {
if (pr) {
print("Fan's method plus bagging has been chosen (cf. Bjerve and Doksum)")
print("op=2 will use running interval plus bagging")
}
mat <- matrix(NA, nrow = nboot, ncol = nrow(temp))
for (it in 1:nboot) {
idat <- sample(c(1:length(y)), replace = T)
xx <- temp[idat, 1]
yy <- temp[idat, 2]
mat[it, ] <- locvar(xx, yy, pts = x, pyhat = TRUE,
plotit = FALSE)
}
rmd <- apply(mat, 2, mean)
if (plotit) {
plot(c(x, x), c(y, rmd), type = "n", xlab = xlab,
ylab = ylab)
sx <- sort(x)
xorder <- order(x)
sysm <- rmd[xorder]
lines(sx, sysm)
}
output <- "Done"
if (pyhat)
output <- rmd
}
if (op == 2) {
output <- runmbo(x, y, fr = fr, est = var, xlab = xlab,
ylab = ylab, pyhat = pyhat, eout = eout, xout = xout,
RNA = RNA, plotit = plotit, scat = scat, nboot = nboot,
outfun = outfun, SEED = SEED)
}
output
}
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