tidy.survexp {broom} | R Documentation |
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'survexp' tidy(x, ...)
x |
An |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble with one row for each time point and columns:
time |
time point |
estimate |
estimated survival |
n.risk |
number of individuals at risk |
Other survexp tidiers: glance.survexp
Other survival tidiers: augment.coxph
,
augment.survreg
,
glance.aareg
, glance.cch
,
glance.coxph
, glance.pyears
,
glance.survdiff
,
glance.survexp
,
glance.survfit
,
glance.survreg
, tidy.aareg
,
tidy.cch
, tidy.coxph
,
tidy.pyears
, tidy.survdiff
,
tidy.survfit
, tidy.survreg
library(survival) sexpfit <- survexp( futime ~ 1, rmap = list( sex = "male", year = accept.dt, age = (accept.dt - birth.dt) ), method = 'conditional', data = jasa ) tidy(sexpfit) glance(sexpfit)