seplyr: Standard Evaluation Improved Interfaces for Common Data Manipulatio Tasks

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

Details

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).