Nothing
#
# Package up surivival type data as a structure
# This variant is for time-course data
#
Surv2 <- function(time, event, repeated=FALSE) {
if (missing(time)) stop ("must have a time argument")
if (inherits(time ,"difftime")) time <- unclass(time)
if (!is.numeric(time)) stop ("Time variable is not numeric")
nn <- length(time)
if (!is.logical(repeated) || length(repeated) != 1)
stop("invalid value for repeated option")
if (missing(event)) stop("must have an event argument")
if (length(event) != nn) stop ("Time and event are different lengths")
event <- as.factor(event)
states <- levels(event)[-1]
status <- as.integer(event) -1L # usually time is not integer, but
ss <- cbind(time=time, status=status) # sometimes it is
# In rare cases there are no column names, and I have discovered that
# people depend on them.
cname <- dimnames(ss)[[2]]
if (length(cname) ==0) cname <- c("time", "status")
dimnames(ss) <- list(NULL, cname) #kill extraneous row names
if (any(is.na(states) | states=='') )
stop("each state must have a non-blank name")
attr(ss, "states") <- states
attr(ss, "repeated") <- repeated
class(ss) <- 'Surv2'
ss
}
print.Surv2 <- function(x, quote=FALSE, ...) {
invisible(print(as.character.Surv2(x), quote=quote, ...))
}
as.character.Surv2 <- function(x, ...) {
states <- attr(x, "states")
if (is.null(states)) {
temp <- x[,2]
temp <- ifelse(is.na(temp), "?", ifelse(temp==0, "+",""))
new <- paste0(format(x[,1]), temp)
} else {
temp <- x[,2]
end <- c("+", paste(":", states, sep='')) #endpoint
temp <- ifelse(is.na(temp), "?", end[temp+1])
new <- paste0(format(x[,1]), temp)
}
names(new) <- rownames(x)
new
}
"[.Surv2" <- function(x, i, j, drop=FALSE) {
# If only 1 subscript is given, the result will still be a Surv2 object,
# and the drop argument is ignored.
# I would argue that x[3:4,,drop=FALSE] should return a matrix, since
# the user has implicitly specified that they want a matrix.
# However, [.dataframe calls [.Surv with the extra comma; its
# behavior drives the choice of default.
if (missing(j)) {
xattr <- attributes(x)
x <- unclass(x)[i,, drop=FALSE] # treat it as a matrix: handles dimnames
if (!is.null(xattr$states)) attr(x, "states") <- xattr$states
attr(x, "repeated") <- xattr$repeated
class(x) <- "Surv2" #restore the class
x
}
else { # return a matrix or vector
class(x) <- 'matrix'
NextMethod("[")
}
}
is.na.Surv2 <- function(x) {
as.vector(rowSums(is.na(unclass(x))) >0)
}
Math.Surv2 <- function(...) stop("Invalid operation on a survival time")
Ops.Surv2 <- function(...) stop("Invalid operation on a survival time")
Summary.Surv2<-function(...) stop("Invalid operation on a survival time")
# The Ops.Surv method could in theory define == and >, to allow sorting
# but I've left them out since it is the xtfrm method that explicitly
# is used for this. For (start, stop) data we order by event within
# ending time. Start time is included as a last index, but it is not
# clear that we need to do so.
xtfrm.Surv2 <- function(x) {
index <- order(x[,1], x[,2]==0, x[,2]) # censor last
temp <- integer(nrow(x))
temp[index] <- seq.int(nrow(x))
temp[is.na(x)] <- NA
temp
}
is.Surv2 <- function(x) inherits(x, 'Surv2')
as.matrix.Surv2 <- function(x, ...) {
y <- unclass(x)
attr(y, "states") <- NULL
attr(y, "repeated") <- NULL
y
}
# You can't do length without names
# and names doesn't pay attention to my definition of length:
# we need to map to rownames instead
length.Surv2 <- function(x) nrow(x)
"names<-.Surv2" <- function(x, value) {
rownames(x) <- value
x
}
names.Surv2 <- function(x) rownames(x)
format.Surv2 <- function(x, ...) format(as.character.Surv2(x), ...)
as.data.frame.Surv2 <- function(x, ...) as.data.frame.model.matrix(x, ...)
# all sorts of methods for Surv, caused by searching for every case of
# UseMethod in the standard libraries
# package:utils methods
tail.Surv2 <- function(x, ...)
x[tail(1:nrow(x), ...)]
head.Surv2 <- function(x, ...)
x[head(1:nrow(x), ...)]
# packge:graphics. All try to give a nicer failure message
plot.Surv2 <- function(x, ...)
stop("method not defined for a Surv2 object")
barplot.Surv2 <- function(height, ...)
stop("not defined for a Surv2 object")
density.Surv2 <- function(x, ...)
stop("method not defined for a Surv2 object")
hist.Surv2 <- function(x, ...)
stop("method not defined for a Surv2 object")
identify.Surv2 <- function(x, ...)
stop("method not defined for a Surv2 object")
image.Surv2 <- function(x, ...)
stop("method not defined for a Surv2 object")
lines.Surv2 <- function(x, ...)
stop("method not defined for a Surv2 object")
points.Surv2 <- function(x, ...)
stop("method not defined for a Surv2 object")
pairs.Surv2 <- function(x, ...)
stop("method not defined for a Surv2 object")
text.Surv2 <- function(x, ...)
stop("method not defined for a Surv2 object")
# package:base methods
anyDuplicated.Surv2 <- function(x, ...) anyDuplicated(as.matrix(x), ...)
duplicated.Surv2 <- function(x, ...) duplicated(as.matrix(x), ...)
rev.Surv2 <- function(x) x[rev(1:nrow(x))]
unique.Surv2 <- function(x, ...)
x[!duplicated(as.matrix(x), ...)]
c.Surv2 <- function(...) {
slist <- list(...)
if (!all(sapply(slist, function(x) inherits(x, "Surv2"))))
stop("all elements must be of class Surv2")
states <- lapply(slist, function(x) attr(x, 'states'))
if (any(diff(sapply(states, length))!=0))
stop("all elements must have the same list of states")
if (!is.null(states[[1]]) &&
!all(sapply(states, function(x) all.equal(x, states[[1]]))))
stop("all elements must have the same list of states")
new <- do.call("rbind", lapply(slist, as.matrix))
att1 <- attributes(slist[[1]])
att1 <- att1[is.na(match(names(att1), c("dim","dimnames")))]
attributes(new) <- c(attributes(new)[c('dim', 'dimnames')], att1)
new
}
# The cbind/rbind methods cause more trouble than they solve
# The problem is when one is called with mixed arguments, e.g.
# cbind(Surv(1:4), data.frame(x=6:9, z=c('a', 'b', 'a', 'a'))
# R will call cbind.Surv for cbind(Surv(1:4), Surv(2:5)), giving a matrix.
# In the above, however, cbind.Surv is never called, but the \emph{presence}
# of a cbind.Surv method messes up the default behavior, see the
# 'Dispatch' section of help('cbind'). The result becomes a matrix of
# lists rather than a dataframe.
#
rep.Surv2 <- function(x, ...) {
index <- rep(1:nrow(x), ...)
x[index]
}
rep.int.Surv2 <- function(x, ...) {
index <- rep.int(1:nrow(x), ...)
x[index]
}
rep_len.Surv2 <- function(x, ...) {
index <- rep_len(1:nrow(x), ...)
x[index]
}
t.Surv2 <- function(x) t(as.matrix(x))
as.logical.Surv2 <- function(x, ...)
stop("invalid operation on a survival time")
as.integer.Surv2 <- function(x, ...) {
x[,1] <- as.integer(x[,1])
x
}
as.numeric.Surv2 <- function(x, ...) {
x[,1] <- as.numeric(x[,1])
x
}
mean.Surv2 <-function(x, ...)
stop("a mean method has not been defined for Surv2 objects")
median.Surv2 <- function(x, ...)
stop("median method has not been defined for Surv2 objects")
quantile.Surv2 <- function(x, probs, na.rm=FALSE, ...) {
if (!na.rm && any(is.na(x)))
stop("missing values and NaN's not allowed if 'na.rm' is FALSE")
stop("quantile method not defined for Surv2 objects")
}
# these make sense but aren't S3 methods
# sd, IQR, mad, cov, cor
levels.Surv2 <- function(x) attr(x, "states")
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