Standard Evaluation Interfaces for Common 'dplyr' Tasks

The 'seplyr' (standard evaluation data.frame 'dplyr') package supplies standard evaluation adapter methods for important common 'dplyr' methods that currently have a non-standard programming interface. This allows the analyst to use 'dplyr' to perform fundamental data transformation steps such as arranging rows, grouping rows, aggregating selecting columns without having to use learn the details of 'rlang'/'tidyeval' non-standard evaluation and without continuing to rely on now deprecated 'dplyr' "underscore verbs." 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), and 'add_group_indices()' (which adds per-group identifies to a 'data.frame' without depending on row-order).


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Reference manual

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install.packages("seplyr")

0.1.6 by John Mount, 6 days ago


https://github.com/WinVector/seplyr/, https://winvector.github.io/seplyr/


Report a bug at https://github.com/WinVector/seplyr/issues


Browse source code at https://github.com/cran/seplyr


Authors: John Mount [aut, cre], Win-Vector LLC [cph]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, rlang, datasets

Depends on wrapr

Suggests glue, knitr, rmarkdown, testthat, DBI, RSQLite


Depended on by replyr.


See at CRAN