R: Tidy a(n) survdiff object

tidy.survdiff {broom}

R Documentation

Tidy a(n) survdiff object

Description

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.

Usage

## S3 method for class 'survdiff'
tidy(x, ...)

Arguments

x

An survdiff object returned from survival::survdiff().

...

Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Additionally, if you pass newdata = my_tibble to an augment() method that does not accept a newdata argument, it will use the default value for the data argument.

Value

A tibble::tibble with one row for each time point and columns:

`...`	The initial columns correspond to the grouping factors on the right hand side of the model formula.
`obs`	weighted observed number of events in each group
`exp`	weighted expected number of events in each group
`N`	number of subjects in each group

Examples


library(survival)

s <- survdiff(
  Surv(time, status) ~ pat.karno + strata(inst),
  data = lung
)

tidy(s)
glance(s)