Nothing
.median_survival_time <- function(x) {
minmin <- function(y, xx) {
if (any(!is.na(y) & y==.5)) {
if (any(!is.na(y) & y <.5))
.5*(min(xx[!is.na(y) & y==.5]) + min(xx[!is.na(y) & y<.5]))
else
.5*(min(xx[!is.na(y) & y==.5]) + max(xx[!is.na(y) & y==.5]))
} else min(xx[!is.na(y) & y<=.5])
}
med <- suppressWarnings(minmin(x$surv, x$time))
return(med)
}
### get the recursive index
### obj is of class "partynode"
.get_path <- function(obj, i) {
idx <- c()
recFun <- function(node, i) {
if (id_node(node) == i) return(NULL)
idx <<- c(idx, which(names(unclass(node)) == "kids"))
kid <- sapply(kids_node(node), id_node)
nextid <- max(which(kid <= i))
idx <<- c(idx, nextid)
return(recFun(node[[nextid]], i))
}
out <- recFun(obj, i)
return(idx)
}
### <TH> shall we export this functionality?
"nodeids<-" <- function(obj, value) UseMethod("nodeids<-")
"nodeids<-.party" <- function(obj, value) {
id0 <- nodeids(obj)
id1 <- as.integer(value)
stopifnot(identical(id1, 1:length(id0)))
idxs <- lapply(id0, .get_path, obj = node_party(obj))
x <- unclass(obj)
ni <- which(names(x) == "node")
nm <- x$names
for (i in 1:length(idxs))
x[[c(ni, idxs[[i]])]]$id <- id1[i]
class(x) <- class(obj)
if (!is.null(nm))
names(x) <- nm[id0]
return(x)
}
"nodeids<-.constparty" <- function(obj, value) {
id0 <- nodeids(obj)
cls <- class(obj)
class(obj) <- "party"
nodeids(obj) <- value
id1 <- nodeids(obj)
obj$fitted[["(fitted)"]] <-
id1[match(fitted(obj)[["(fitted)"]], id0)]
class(obj) <- cls
obj
}
### </TH>
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