Grouped Summaries for Large 'arrow' Datasets R package summarisebig version 0.1.0 Provides a 'dplyr'-like interface for grouped summaries on large 'arrow' datasets. Complete summaries are attempted in 'arrow' first. When a result can be reconstructed from 'arrow'-computable sufficient statistics, an explicit MapReduce-style reduction and 'R' finalization strategy is available. For arbitrary 'R' functions that require raw group observations, complete groups are materialized in bounded chunks, with optional parallel execution and shared-memory processing. The MapReduce strategy follows the programming model described by Dean and Ghemawat (2008) <doi:10.1145/1327452.1327492>. Software Depends: R (>= 4.3.0) Imports: arrow, dplyr, future, future.mirai, futurize, furrr (>= 0.4.0), purrr, rlang Suggests: knitr, mori, rmarkdown, testthat (>= 3.0.0), withr Lorenzo Isella <lorenzo.isella@gmail.com> Comprehensive R Archive Network (CRAN) Lorenzo Isella [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=summarisebig/LICENSE) 2026-09-21 application/tgz https://CRAN.R-project.org/package=summarisebig doi:10.32614/CRAN.package.summarisebig