Use this tag for questions relating to functions from the dplyr package, such as group_by, summarize, filter, and select.

The r dplyr package is the next iteration of the plyr package. It has three main goals:

  1. Identify the most important data manipulation tools needed for data analysis and make them easy to use from R.
  2. Provide fast performance for in-memory data by writing key pieces in C++.
  3. Use the same interface to work with data no matter where it's stored, whether in a data.frame, a data.table or a database.



Some vignettes have been moved to other related packages.

Other resources