survfit.survTerms {psichomics} | R Documentation |
Compute estimates of survival curves
Description
Compute estimates of survival curves
Usage
## S3 method for class 'survTerms'
survfit(survTerms, ...)
Arguments
survTerms |
survTerms object: processed survival terms
|
... |
Arguments passed on to survival::survfit.formula
- weights
-
The weights must be nonnegative and it is strongly recommended that
they be strictly positive, since zero weights are ambiguous, compared
to use of the subset argument.
- subset
-
expression saying that only a subset of the rows of the data
should be used in the fit.
- na.action
-
a missing-data filter function, applied to the model frame, after any
subset argument has been used.
Default is options()$na.action .
- etype
-
a variable giving the type of event. This has been superseded by
multi-state Surv objects; see example below.
- id
-
identifies individual subjects, when a given person can have multiple
lines of data.
- istate
for multi-state models, identifies the initial state of
each subject
- timefix
process times through the aeqSurv function to
eliminate potential roundoff issues.
|
Value
survfit
object. See survfit.object
for details. Methods
defined for survfit objects are print
, plot
, lines
, and
points
.
Examples
clinical <- read.table(text = "2549 NA ii female
840 NA i female
NA 1204 iv male
NA 383 iv female
1293 NA iii male
NA 1355 ii male")
names(clinical) <- c("patient.days_to_last_followup",
"patient.days_to_death",
"patient.stage_event.pathologic_stage",
"patient.gender")
timeStart <- "days_to_death"
event <- "days_to_death"
formulaStr <- "patient.stage_event.pathologic_stage + patient.gender"
survTerms <- processSurvTerms(clinical, censoring="right", event, timeStart,
formulaStr=formulaStr)
require("survival")
survfit(survTerms)
[Package
psichomics version 1.8.2
Index]