seplyr: 'seplyr': Standard Evaluation Improved Interfaces for Common...
In WinVector/seplyr: Improved Standard Evaluation Interfaces for Common Data Manipulation Tasks
seplyr R Documentation
seplyr: Standard Evaluation Improved Interfaces for Common Data Manipulatio Tasks
Description
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).
WinVector/seplyr documentation built on Aug. 26, 2022, 12:01 p.m.
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| seplyr | R Documentation |
seplyr: Standard Evaluation Improved Interfaces for Common Data Manipulatio Tasks
Description
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).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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