grouped_augment: Grouped augment

In broomExtra: Enhancements for 'broom' and 'easystats' Package Families

Grouped augment

Description

Augmented data from grouped analysis of any function that has data argument in its function call.

Usage

grouped_augment(data, grouping.vars, ..f, ..., augment.args = list())

Arguments

data	Dataframe (or tibble) from which variables are to be taken.
grouping.vars	Grouping variables.
..f	A function, or function name as a string.
...	<dynamic> Arguments for .fn.
augment.args	A list of arguments to be used in the relevant S3 method.

Value

A tibble::tibble() with information about data points.

See Also

augment

Examples

set.seed(123)
library(dplyr)

# linear mixed effects model
grouped_augment(
  data = mutate(MASS::Aids2, interval = death - diag),
  grouping.vars = sex,
  ..f = lme4::lmer,
  formula = interval ~ age + (1 | status),
  control = lme4::lmerControl(optimizer = "bobyqa")
)

broomExtra documentation built on April 2, 2022, 5:05 p.m.