seplyr: Improved Standard Evaluation Interfaces for Common Data Manipulation Tasks

The 'seplyr' (standard evaluation plying) package supplies improved standard evaluation adapter methods for important common 'dplyr' data manipulation tasks. In addition the 'seplyr' package supplies several new "key operations bound together" methods. These include 'group_summarize()' (which combines grouping, arranging and calculation in an atomic unit), 'add_group_summaries()' (which joins grouped summaries into a 'data.frame' in a well documented manner), 'add_group_indices()' (which adds per-group identifiers to a 'data.frame' without depending on row-order), 'partition_mutate_qt()' (which optimizes mutate sequences), and 'if_else_device()' (which simulates per-row if-else blocks in expression sequences).

Package details

AuthorJohn Mount [aut, cre], Win-Vector LLC [cph]
MaintainerJohn Mount <[email protected]>
Package repositoryView on CRAN
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seplyr documentation built on Sept. 25, 2018, 5:05 p.m.