summarisebig: Grouped Summaries for Large 'arrow' Datasets

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>.

Version:	0.1.0
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
Published:	2026-09-21
DOI:	10.32614/CRAN.package.summarisebig
Author:	Lorenzo Isella [aut, cre]
Maintainer:	Lorenzo Isella <lorenzo.isella at gmail.com>
BugReports:	https://github.com/larry77/summarisebig/issues
License:	MIT + file LICENSE
URL:	https://github.com/larry77/summarisebig, https://larry77.github.io/summarisebig/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	summarisebig results

Documentation:

Reference manual:	summarisebig.html , summarisebig.pdf
Vignettes:	Getting started with summarisebig (source, R code)

Downloads:

Package source:	summarisebig_0.1.0.tar.gz
Windows binaries:	r-devel: summarisebig_0.1.0.zip, r-release: not available, r-oldrel: summarisebig_0.1.0.zip
macOS binaries:	r-release (arm64): summarisebig_0.1.0.tgz, r-oldrel (arm64): summarisebig_0.1.0.tgz, r-release (x86_64): summarisebig_0.1.0.tgz, r-oldrel (x86_64): summarisebig_0.1.0.tgz

Linking:

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