View source: R/survival-survexp-tidiers.R
tidy.survexp | 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 across 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 columns:
n.risk |
Number of individuals at risk at time zero. |
time |
Point in time. |
estimate |
Estimate survival |
tidy()
, survival::survexp()
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()
# load libraries for models and data library(survival) # fit model sexpfit <- survexp( futime ~ 1, rmap = list( sex = "male", year = accept.dt, age = (accept.dt - birth.dt) ), method = "conditional", data = jasa ) # summarize model fit with tidiers tidy(sexpfit) glance(sexpfit)
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