Tidy a(n) aareg object

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 aareg
tidy(x, ...)

Arguments

x

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

...

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 coefficient and columns:

term

name of coefficient

estimate

estimate of the slope

statistic

test statistic for coefficient

std.error

standard error of statistic

robust.se

robust version of standard error estimate (only when x was called with dfbeta = TRUE)

z

z score

p.value

p-value

See also

tidy(), survival::aareg()

Other aareg tidiers: glance.aareg

Other survival tidiers: augment.coxph, augment.survreg, glance.aareg, glance.cch, glance.coxph, glance.pyears, glance.survdiff, glance.survexp, glance.survfit, glance.survreg, tidy.cch, tidy.coxph, tidy.pyears, tidy.survdiff, tidy.survexp, tidy.survfit, tidy.survreg

Examples

library(survival)

afit <- aareg(
  Surv(time, status) ~ age + sex + ph.ecog,
  data = lung,
  dfbeta = TRUE
)

tidy(afit)
#> # A tibble: 4 x 7
#>   term        estimate  statistic std.error robust.se statistic.z  p.value
#>   <chr>          <dbl>      <dbl>     <dbl>     <dbl>       <dbl>    <dbl>
#> 1 Intercept  0.00505    0.00587   0.00474   0.00477          1.23 0.219   
#> 2 age        0.0000401  0.0000715 0.0000723 0.0000700        1.02 0.307   
#> 3 sex       -0.00316   -0.00403   0.00122   0.00123         -3.28 0.00103 
#> 4 ph.ecog    0.00301    0.00367   0.00102   0.00102          3.62 0.000299