tidy.aareg {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 'aareg' 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 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
|
z |
z score |
p.value |
p-value |
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()
library(survival) afit <- aareg( Surv(time, status) ~ age + sex + ph.ecog, data = lung, dfbeta = TRUE ) tidy(afit)