This function returns the list of pre-specified settings for a given Data Generating Mechanism (DGM).
Value
A data frame containing the pre-specified settings including a
condition_id column which maps settings id to the corresponding settings.
Examples
head(dgm_conditions("Carter2019"))
#> n_studies mean_effect QRP bias effect_heterogeneity condition_id
#> 1 10 0.0 none none 0 1
#> 2 30 0.0 none none 0 2
#> 3 60 0.0 none none 0 3
#> 4 100 0.0 none none 0 4
#> 5 10 0.2 none none 0 5
#> 6 30 0.2 none none 0 6
get_dgm_condition("Carter2019", condition_id = 1)
#> n_studies mean_effect QRP bias effect_heterogeneity condition_id
#> 1 10 0 none none 0 1
head(dgm_conditions("Alinaghi2018"))
#> environment mean_effect bias condition_id
#> 1 RE 0.0 none 1
#> 2 PRE 0.0 none 2
#> 3 FE 0.0 none 3
#> 4 RE 0.5 none 4
#> 5 PRE 0.5 none 5
#> 6 FE 0.5 none 6
head(dgm_conditions("Stanley2017"))
#> mean_effect effect_heterogeneity bias n_studies environment
#> 1 0.0 0.0000 0 5 SMD
#> 2 0.5 0.0000 0 5 SMD
#> 3 0.0 0.0625 0 5 SMD
#> 4 0.5 0.0625 0 5 SMD
#> 5 0.0 0.1250 0 5 SMD
#> 6 0.5 0.1250 0 5 SMD
#> sample_sizes condition_id
#> 1 32, 64, 125, 250, 500 1
#> 2 32, 64, 125, 250, 500 2
#> 3 32, 64, 125, 250, 500 3
#> 4 32, 64, 125, 250, 500 4
#> 5 32, 64, 125, 250, 500 5
#> 6 32, 64, 125, 250, 500 6