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 'survdiff' tidy(x, ...)
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
tibble::tibble() with columns:
Weighted expected number of events in each group.
Number of subjects in each group.
weighted observed number of events in each group.
Other survdiff tidiers:
Other survival tidiers:
# load libraries for models and data library(survival) # fit model s <- survdiff( Surv(time, status) ~ pat.karno + strata(inst), data = lung ) # summarize model fit with tidiers tidy(s) glance(s)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.