Summarise Model Composition

Calculate descriptive statistics (mean, sd, min, max) for number of fixed effects, number of random effects, number of interactions and sample size of models for each dataset across both out of sample predictions and standardized corelation coefficients.

Usage

summarise_model_composition(
  ManyEcoEvo_results,
  ManyEcoEvo_yi_results,
  ManyEcoEvo
)

Arguments

ManyEcoEvo_results

A tibble of ManyEcoEvo_results

ManyEcoEvo_yi_results

A tibble of ManyEcoEvo_yi_results

ManyEcoEvo

A tibble of ManyEcoEvo

Value

A dataframe

Details

Generates summary data with summarise_model_composition_data().

See also

Other Multi-dataset Wrapper Functions: apply_VZ_exclusions(), compute_MA_inputs(), generate_exclusion_subsets(), generate_outlier_subsets(), generate_rating_subsets(), generate_yi_subsets(), make_viz(), meta_analyse_datasets(), prepare_ManyEcoEvo(), prepare_ManyEcoEvo_yi(), prepare_response_variables(), prepare_response_variables_yi(), summarise_analysis_types(), summarise_conclusions(), summarise_reviews(), summarise_sorensen_index(), summarise_variable_counts()

Author

Hannah S. Fraser

Elliot Gould

Examples

summarise_model_composition(ManyEcoEvo_results, ManyEcoEvo_yi_results, ManyEcoEvo)
#> Error in group_by(., estimate_type, dataset): Must group by variables found in `.data`.
#> Column `estimate_type` is not found.
#> Column `dataset` is not found.