Surv(time, event) or Surv(time, time2, event, type=, origin=0) is.Surv(x)
time, 2=left censored, 3=interval censored. Although unu
(start, end]. For counting process data,
eventindicates whether an event o
"interval2". The default is
Surv. There are methods for
is.na, and subscripting survival objects. To include a survival object inside a data frame, use the
Survobjects are implemented as a matrix of 2 or 3 columns.
In the case of
is.Surv, a logical value
x inherits from
"Surv", otherwise an
type = "interval2" then the representation given above is
assumed, with NA taking the place of infinity. If `type="interval"
event must be given. If
2, the relevant
information is assumed to be contained in
time, the value in
is ignored, and the second column of the result will contain a
Presently, the only methods allowing interval censored data are the
parametric models computed by
so the distinction between open and closed intervals
The distinction is important for counting process data and
the Cox model.
The function tries to distinguish between the use of 0/1 and 1/2 coding for
left and right censored data using
If 1/2 coding is used and all the subjects are censored, it will
guess wrong. Use 0/1 coding in this case.