Generate subsets of ManyEcoEvo Data based on Peer Review Ratings
Source:R/generate_rating_subsets.R
generate_rating_subsets.Rd
Generates two subsets of data based on for both complete and partial exclusion datasets for both yi
and Zr
estimates.
Arguments
- ManyEcoEvo
a ManyEcoEvo dataframe containing formatted raw
data
, formatteddiversity_data
, theestimate_type
, anddataset
Value
A ManyEcoEvo dataframe with added column exclusion_set
with new subsets of data
and diversity_data
Details
To be executed on a ManyEcoEvo dataframe after the compute_MA_inputs()
function. This function generates two subsets of data based on the peer review ratings for both complete and partial exclusion datasets for both yi
and Zr
estimates. The subsets are generated based on the PublishableAsIs
column in the data
list-column. The subsets are named data_flawed
and data_flawed_major
and are created by filtering out the data points with the PublishableAsIs
values of "deeply flawed and unpublishable"
and "publishable with major revision"
respectively. The diversity_data
list-column is also updated to reflect the new subsets of data.
See also
Other Multi-dataset Wrapper Functions:
apply_VZ_exclusions()
,
compute_MA_inputs()
,
generate_exclusion_subsets()
,
generate_outlier_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_model_composition()
,
summarise_reviews()
,
summarise_sorensen_index()
,
summarise_variable_counts()
Other targets-pipeline functions:
prepare_ManyEcoEvo()
,
prepare_ManyEcoEvo_yi()
,
prepare_response_variables_yi()
,
prepare_review_data()