aggregate_outputs: Aggregate outputs that are not in the top 'n' journals
In Selbosh/ref2014: Analysis of the UK Research Excellence Framework 2014

Description Usage Arguments Details Value See Also Examples

Choose the top n journals according to the number of submissions in the REF. The remaining journals are aggregated into a 'super-journal' called 'Other'.

1	aggregate_outputs(outputs, top_journals = get_top_journals(outputs))

`outputs`	A data frame like that produced by `tidy_outputs`
`top_journals`	A data frame like that produced by `get_top_journals`

To preserve data integrity, each journal is given a new_id, which in the case of the top n journals is identical to their original journal_id, in the case of conference proceedings is set equal to 0, in the case of n+1 or less popular journals, is set equal to -1 and in the case of other non-journal outputs it set equal to -2. These codes have no particular significance other than avoiding clashes with the automatically-assigned journal_ids assigned by the cluster_outputs_by_journals algorithm.

A data frame similar to outputs but with lower-ranked journals aggregated classes 'Other journals', 'Conference proceedings' or 'Other outputs' according to their output type.

get_top_journals

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math_outputs <- subset(tidy_outputs(), uoa_name == 'Mathematical Sciences')
math_outputs <- cluster_outputs_by_journals(math_outputs)
aggregate_outputs(math_outputs)