summary.survfit {survival}  R Documentation 
Returns a list containing the survival curve, confidence limits for the curve, and other information.
## S3 method for class 'survfit': summary(object, times, censored=FALSE, scale=1, ...)
object 
output from a call to survfit .

times 
vector of times;
the returned matrix will contain 1 row for each time.
This must be in increasing order and missing values are not allowed.
If censored=T , the default times vector contains all the unique times in
fit ,
otherwise the default times vector uses only the event (death) times.

censored 
logical flag: should the censoring times be included in the output?
This is ignored if the times argument is present.

scale 
rescale the survival time, e.g., if the input data to survfit were in
days, scale=365.25 would scale the output to years.

... 
other unused arguments 
a list with the following components
time 
the timepoint on the curve. 
surv 
the value of the survival curve at time t+0. 
n.risk 
the number of subjects at risk at time t0
(but see the comments on weights in the survfit help file).

n.event 
if the times argument is missing, then this column is the number of
events that occurred at time t.
Otherwise, it is the cumulative number of events that have occurred
since the last time listed until time t+0.

std.err 
the standard error of the survival value. 
conf.int 
level of confidence for the confidence intervals of survival. 
lower 
lower confidence limits for the curve. 
upper 
upper confidence limits for the curve. 
strata 
indicates stratification of curve estimation. If strata is not NULL ,
there are multiple curves in the result and the surv , time , n.risk , etc.
vectors will contain multiple curves, pasted end to end.
The levels of strata (a factor) are the labels for the curves.

call 
the statement used to create the fit object.

na.action 
passed through from fit , if present.

survfit
, print.summary.survfit
.
summary( survfit( Surv(futime, fustat),data=ovarian)) summary( survfit( Surv(futime, fustat)~rx,data=ovarian))