Summarise counts of qualitative conclusions across all datasets
Source:R/summarise_conclusions.R
summarise_conclusions.RdSummarise counts of qualitative conclusions across all datasets
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 with count values for each unique Conclusion in columns for each subset ("effects", "predictions", "all"), for each dataset.
Details
Data summary is generated with summarise_conclusions_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_model_composition(),
summarise_reviews(),
summarise_sorensen_index(),
summarise_variable_counts()
Examples
data(ManyEcoEvo_results)
data(ManyEcoEvo_yi_results)
data(ManyEcoEvo)
summarise_conclusions(ManyEcoEvo_results, ManyEcoEvo_yi_results, ManyEcoEvo)
#> Error in filter(., exclusion_set == "complete", ): ℹ In argument: `exclusion_set == "complete"`.
#> Caused by error:
#> ! object 'exclusion_set' not found