Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets.
Source: R/generate_yi_subsets.R
generate_yi_subsets.RdGenerate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets.
Arguments
- yi_analysis
A
dataframecontaining multiple datasets of out-of-sample predictions and corresponding diversity data.
Value
A datraframe with the character columns dataset, estimate_type and list-cols data and diversity_data
Details
The object yi_analysis should contain the character column dataset, and list-columns data and diversity_data. In essence, both data and diversity_data are nested by dataset. data should be a list-col of grouped_df, which should also contain the list-col back_transformed_data.
If the column back_transformed_data contains NA values, that row will be removed from the list-column data.
If the column estimate_type is present in yi_analysis, it will be removed, and replaced with the estimate_type derived from the scenario and SurveyID columns in each back_transformed_data dataset.
See also
Other Multi-dataset Wrapper Functions:
apply_VZ_exclusions(),
compute_MA_inputs(),
generate_exclusion_subsets(),
generate_outlier_subsets(),
generate_rating_subsets(),
make_viz(),
meta_analyse_datasets(),
prepare_ManyEcoEvo(),
prepare_ManyEcoEvo_yi(),
prepare_response_variables(),
prepare_response_variables_yi(),
summarise_analysis_types(),
summarise_conclusions(),
summarise_model_composition(),
summarise_reviews(),
summarise_sorensen_index(),
summarise_variable_counts()