deprecated
Please use tbl_survfit.
Function takes a survfit
object as an argument, and provides a
formatted summary of the results
tbl_survival(x, ...)# S3 method for survfit
tbl_survival(
x,
times = NULL,
probs = NULL,
label = ifelse(is.null(probs), "{time}", "{prob*100}%"),
level_label = "{level}, N = {n}",
header_label = NULL,
header_estimate = NULL,
failure = FALSE,
missing = "-",
estimate_fun = NULL,
...
)
A survfit object with a no stratification
(e.g. survfit(Surv(ttdeath, death) ~ 1, trial)
), or a single stratifying
variable (e.g. survfit(Surv(ttdeath, death) ~ trt, trial)
)
Not used
Numeric vector of times for which to return survival probabilities.
Numeric vector of probabilities with values in (0,1) specifying the survival quantiles to return
String defining the label shown for the time or prob column.
Default is "{time}"
or "{prob*100}%"
. The input uses glue::glue notation to
convert the string into a label. A common label may be "{time} Months"
, which
would resolve to "6 Months" or "12 Months" depending on specified times
.
Used when survival results are stratified.
It is a string defining the label shown. The input uses
glue::glue notation to convert the string into a label.
The default is "{level}, N = {n}"
. Other information available to
call are '{n}'
, '{level}'
, '{n.event.tot}'
, '{n.event.strata}'
, and
'{strata}'
. See below for details.
String to be displayed as column header.
Default is '**Time**'
when time
is specified, and
'**Quantile**'
when probs
is specified.
String to be displayed as column header of the Kaplan-Meier
estimate. Default is '**Probability**'
when time
is specified, and
'**Time**'
when probs
is specified.
Calculate failure probabilities rather than survival probabilities.
Default is FALSE
. Does NOT apply to survival quantile requests
String indicating what to replace missing confidence
limits with in output. Default is missing = "-"
Function used to format the estimate and confidence
limits. The default is style_percent(x, symbol = TRUE)
for survival
probabilities, and
style_sigfig(x, digits = 3)
for time estimates.