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Grouped model summary

Source: R/grouped_generics.R
grouped_glance.Rd

Model summary output from grouped analysis of any function that has data argument in its function call.

Usage

grouped_glance(data, grouping.vars, ..f, ...)

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.

See also

glance

Examples

set.seed(123)
library(dplyr)

# linear mixed effects model
grouped_glance(
  data = mutate(MASS::Aids2, interval = death - diag),
  grouping.vars = sex,
  ..f = lme4::lmer,
  formula = interval ~ age + (1 | status),
  control = lme4::lmerControl(optimizer = "bobyqa")
)
#> # A tibble: 2 × 8
#>   sex    nobs sigma  logLik    AIC    BIC REMLcrit df.residual
#>   <fct> <int> <dbl>   <dbl>  <dbl>  <dbl>    <dbl>       <int>
#> 1 F        89  415.   -656.  1321.  1331.    1313.          85
#> 2 M      2754  355. -20079. 40165. 40189.   40157.        2750