Nothing
setMethod("pemix",
signature(x = "REBMIX"),
function(x,
pos,
variables,
lower.tail,
log.p, ...)
{
digits <- getOption("digits"); options(digits = 15)
if (missing(x)) {
stop(sQuote("x"), " object of class REBMIX is requested!", call. = FALSE)
}
if (!is.wholenumber(pos)) {
stop(sQuote("pos"), " integer is requested!", call. = FALSE)
}
length(pos) <- 1
if ((pos < 1) || (pos > nrow(x@summary))) {
stop(sQuote("pos"), " must be greater than 0 and less or equal than ", nrow(x@summary), "!", call. = FALSE)
}
Dataset <- x@Dataset[[which(names(x@Dataset) == x@summary[pos, "Dataset"])]]
if (as.character(class(Dataset)) == "data.frame") {
Y.type <- 0
d <- ncol(Dataset)
}
else
if (as.character(class(Dataset)) == "Histogram") {
Y.type <- 1
Dataset <- Dataset@Y
d <- ncol(Dataset) - 1
}
dini <- d; variables <- eval(variables)
n <- nrow(Dataset)
if (length(variables) != 0) {
if (!is.wholenumber(variables)) {
stop(sQuote("variables"), " integer is requested!", call. = FALSE)
}
if ((min(variables) < 1) || (max(variables) > d)) {
stop(sQuote("variables"), " must be greater than 0 and less or equal than ", d, "!", call. = FALSE)
}
variables <- unique(variables); d <- length(variables)
}
else {
variables <- 1:d
}
if (!is.logical(lower.tail)) {
stop(sQuote("lower.tail"), " logical is requested!", call. = FALSE)
}
if (!is.logical(log.p)) {
stop(sQuote("log.p"), " logical is requested!", call. = FALSE)
}
F <- array(data = 0.0, dim = n, dimnames = NULL)
if (Y.type == 0) {
Dataset <- as.matrix(Dataset[, variables])
if (lower.tail == TRUE) {
for (i in 1:n) {
F[i] <- sum(apply(Dataset <= Dataset[i,], 1, all))
}
}
else {
for (i in 1:n) {
F[i] <- sum(apply(Dataset > Dataset[i,], 1, all))
}
}
}
else
if (Y.type == 1) {
Dataset <- as.matrix(Dataset[, c(variables, dini + 1)])
if (lower.tail == TRUE) {
for (i in 1:n) {
rows <- which(apply(Dataset <= Dataset[i, 1:d], 1, all))
F[i] <- sum(Dataset[rows, d + 1])
}
}
else {
for (i in 1:n) {
rows <- which(apply(Dataset > Dataset[i, 1:d], 1, all))
F[i] <- sum(Dataset[rows, d + 1])
}
}
n <- sum(Dataset[, d + 1])
Dataset <- Dataset[, -(d + 1)]
}
F <- F / n
if (log.p == TRUE) {
F <- log(F)
}
output <- as.data.frame(cbind(Dataset, F), stringsAsFactors = FALSE)
colnames(output) <- c(paste("x", if (dini > 1) variables else "", sep = ""), "F")
options(digits = digits)
rm(list = ls()[!(ls() %in% c("output"))])
output
}) ## pemix
setMethod("pemix",
signature(x = "REBMVNORM"),
function(x,
pos,
variables,
lower.tail,
log.p, ...)
{
digits <- getOption("digits"); options(digits = 15)
if (missing(x)) {
stop(sQuote("x"), " object of class REBMVNORM is requested!", call. = FALSE)
}
if (!is.wholenumber(pos)) {
stop(sQuote("pos"), " integer is requested!", call. = FALSE)
}
length(pos) <- 1
if ((pos < 1) || (pos > nrow(x@summary))) {
stop(sQuote("pos"), " must be greater than 0 and less or equal than ", nrow(x@summary), "!", call. = FALSE)
}
Dataset <- x@Dataset[[which(names(x@Dataset) == x@summary[pos, "Dataset"])]]
if (as.character(class(Dataset)) == "data.frame") {
Y.type <- 0
d <- ncol(Dataset)
}
else
if (as.character(class(Dataset)) == "Histogram") {
Y.type <- 1
Dataset <- Dataset@Y
d <- ncol(Dataset) - 1
}
dini <- d; variables <- eval(variables)
n <- nrow(Dataset)
if (length(variables) != 0) {
if (!is.wholenumber(variables)) {
stop(sQuote("variables"), " integer is requested!", call. = FALSE)
}
if ((min(variables) < 1) || (max(variables) > d)) {
stop(sQuote("variables"), " must be greater than 0 and less or equal than ", d, "!", call. = FALSE)
}
variables <- unique(variables); d <- length(variables)
}
else {
variables <- 1:d
}
if (!is.logical(lower.tail)) {
stop(sQuote("lower.tail"), " logical is requested!", call. = FALSE)
}
if (!is.logical(log.p)) {
stop(sQuote("log.p"), " logical is requested!", call. = FALSE)
}
F <- array(data = 0.0, dim = n, dimnames = NULL)
if (Y.type == 0) {
Dataset <- as.matrix(Dataset[, variables])
if (lower.tail == TRUE) {
for (i in 1:n) {
F[i] <- sum(apply(Dataset <= Dataset[i,], 1, all))
}
}
else {
for (i in 1:n) {
F[i] <- sum(apply(Dataset > Dataset[i,], 1, all))
}
}
}
else
if (Y.type == 1) {
Dataset <- as.matrix(Dataset[, c(variables, dini + 1)])
if (lower.tail == TRUE) {
for (i in 1:n) {
rows <- which(apply(Dataset <= Dataset[i, 1:d], 1, all))
F[i] <- sum(Dataset[rows, d + 1])
}
}
else {
for (i in 1:n) {
rows <- which(apply(Dataset > Dataset[i, 1:d], 1, all))
F[i] <- sum(Dataset[rows, d + 1])
}
}
n <- sum(Dataset[, d + 1])
Dataset <- Dataset[, -(d + 1)]
}
F <- F / n
if (log.p == TRUE) {
F <- log(F)
}
output <- as.data.frame(cbind(Dataset, F), stringsAsFactors = FALSE)
colnames(output) <- c(paste("x", if (dini > 1) variables else "", sep = ""), "F")
options(digits = digits)
rm(list = ls()[!(ls() %in% c("output"))])
output
}) ## pemix
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