Nothing

```
# This function checks that the outcome vector/matrix y and the vector n of
# counts of replicated observations are valid, and then returns integer-type
# versions of y and n in a list.
check_set_outcome <- function(y,n,N) {
# check and transform y ------------------------------------------------------
# make sure y is a vector or matrix of nonnegative whole numbers:
if (!((is.vector(y) || is.matrix(y)) && all_whole(y) && all(y > -.5))) {
stop("y must be a vector or matrix of nonnegative whole numbers")
}
# convert y from a vector to a single-column matrix if necessary:
if (is.vector(y)) dim(y) <- c(length(y),1)
# convert y from floating points to integers if necessary:
if (!is.integer(y)) {
y <- round(y)
storage.mode(y) <- "integer"
}
# make sure y has N rows (same as the number of rows of x):
if (nrow(y) != N) stop("x and y must have the same number of rows")
# make sure there is at least one observed event for each competing risk:
if (any(colSums(y) < 1L)) {
stop("there must be at least one observed event for each event type")
}
# check and transform n ------------------------------------------------------
# make sure n is NULL or a vector of positive integers of the correct length:
if (!(is.null(n) || (is.vector(n) && length(n)==N && all_whole(n)
&& all(n > .5)))) {
stop("n must be NULL or a vector of positive integers of length nrow(x)")
}
# if n is NULL, set it to all 1's:
if (is.null(n)) n <- rep(1L,N)
# convert n from floating points to integers if necessary:
if (!is.integer(n)) n <- as.integer(round(n))
# check compatibility of y and n and return ----------------------------------
# make sure the number of observed events at each row is not higher than the
# number of observations represented by that row:
if (any(rowSums(y) > n)) stop(paste("the total number of events of all types",
"cannot exceed n"))
# make sure not all observations result in event occurrence:
if (sum(y) >= sum(n)) stop("events cannot occur on all observations")
# return the new y and n values:
list(y,n)
}
```

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