Use this tag for questions relating to functions from the dplyr package, such as group_by, summarize, filter, and select.
- Identify the most important data manipulation tools needed for data analysis and make them easy to use from R.
- Provide fast performance for in-memory data by writing key pieces in C++.
- Use the same interface to work with data no matter where it's stored, whether in a
data.tableor a database.
Some vignettes have been moved to other related packages.
- Tibbles (from
- Databases (from
- Introduction to dplyr
- Adding a new SQL backend (from
- Programming with
- Two-table verbs
- Window functions and grouped mutate/filter