dplyr

What dplyr is

dplyr is a free R package for manipulating data frames and tibbles through code. Its core verbs cover common transformations: mutate() adds variables, select() chooses variables by name, filter() keeps cases by value, summarise() calculates summaries, and arrange() orders rows. Combine these operations with group_by() to work by group, or use two-table verbs to work with pairs of datasets. The across() helper applies operations across multiple columns, while rowwise() supports work performed a row at a time. The programming guide covers data masking, tidy selection, and using dplyr in functions or loops. For other data environments, dbplyr translates dplyr code into SQL for relational databases. The documented alternative backends also include Arrow for larger-than-memory data, dtplyr and duckplyr for large in-memory datasets, and sparklyr for very large datasets stored in Apache Spark. dplyr runs on Linux, macOS, and Windows and uses the MIT license. The CRAN package requires R version 4.1.0 or later. Installation guidance covers CRAN and a development version from GitHub using pak. The project directs bug reports to GitHub and questions or discussion to the Posit community forum.