The seplyr
(standard evaluation dplyr
) package supplies improved
standard evaluation adapter methods for important common 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).
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