Nothing
model.frame.survfit <- function(formula, ...) {
dots <- list(...)
nargs <- dots[match(c("data", "subset", "id", "cluster"),
names(dots), 0)]
# if this was called without updating the data, and the model was saved
# then just return the model component
if (length(nargs) ==0 && !is.null(formula$model)) formula$model
else {
fcall <- formula$call
na.action <- getOption("na.action")
if (is.character(na.action))
na.action <- get(na.action) # this is a temporary hack
# create a copy of the call that has only the arguments we want,
# and use it to call model.frame()
indx <- match(c('formula', 'data', 'weights', 'subset','na.action',
'istate', 'id', 'cluster', "etype"), names(fcall),
nomatch=0)
# The next error message is usually due to a typo
# eg survfit(wt=Surv(time, status) ~1)
if (indx[1]==0) stop("a formula argument is required")
temp <- fcall[c(1, indx)]
temp$xlev <- formula$xlevels
if (length(nargs) > 0)
temp[names(nargs)] <- nargs
temp[[1L]] <- quote(stats::model.frame)
if (is.null(environment(formula$terms)))
mf <- eval(temp, parent.frame())
else mf <- eval(temp, environment(formula$terms), parent.frame())
n <- nrow(mf)
if (n==0) stop("data set has no non-missing observations")
mf
}
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.