Combine (potentially overlapping) article sets generated by screening among a team of reviewers.
A common task in systematic review is to divide a dataset of articles located by a search (typically involving >1 databases) and distributing them amongst a team of reviewers for screening. This function takes a dataset divided using link{distribute_tasks} and recombines them into a single data.frame.
aggregate_tasks(file_names, match_column, selection_column, reviewer_names)
file_names |
a vector or list of file paths used to locate screened files. Must be in .csv format. |
match_column |
The name of the column used to match identical references. In revtools this is 'label', which is the default here. |
selection_column |
The name of the column used to store 'selection' data; i.e. which entries have been retained and which excluded. In revtools this is 'selected', which is the default here. |
reviewer_names |
Optional vector of names used to label the 'results' columns in the resulting |
Returns a data.frame with one row per unique value of match_column, showing the content of selection_column for each reviewer.
distribute_tasks for the inverse problem of dividing a single dataset amongst many reviewers.
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