Calculate meta-analytic summary statistics

Usage

calculate_meta_summary(data, structure)

Arguments

data: A data frame containing effect size data.
structure: A list describing the data structure, including grouping levels and variable names.

Value

A list with elements n_studies, n_effects, total_participants (distinct cases resolved via find_case_var(); NA when no case column is found), and effects_per_study.

Examples

d <- data.frame(
  study_id = rep(c("S1", "S2"), each = 10),
  participant = rep(1:4, 5),
  outcome = rnorm(20)
)
calculate_meta_summary(d, structure = list())
#> $n_studies
#> [1] 2
#> 
#> $n_effects
#> [1] 20
#> 
#> $total_participants
#> [1] 8
#> 
#> $effects_per_study
#> $effects_per_study$min
#> [1] 10
#> 
#> $effects_per_study$mean
#> [1] 10
#> 
#> $effects_per_study$median
#> [1] 10
#> 
#> $effects_per_study$max
#> [1] 10
#> 
#>