Package: summarisebig 0.1.0

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>.

Authors:Lorenzo Isella [aut, cre]

summarisebig_0.1.0.tar.gz
summarisebig_0.1.0.zip(r-4.7-any)summarisebig_0.1.0.zip(r-4.6-any)summarisebig_0.1.0.zip(r-4.5-any)
summarisebig_0.1.0.tgz(r-4.6-any)summarisebig_0.1.0.tgz(r-4.5-any)
summarisebig_0.1.0.tar.gz(r-4.7-any)summarisebig_0.1.0.tar.gz(r-4.6-any)
summarisebig_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
summarisebig/json (API)

# Install 'summarisebig' in R:

install.packages('summarisebig', repos = c('https://larry77.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/larry77/summarisebig/issues

Pkgdown/docs site:https://larry77.github.io

On CRAN:

4.00 score 1 exports 32 dependencies

Last updated from:d365622602. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	156
source / vignettes	OK	245
linux-release	OK	154
macos-release	OK	119
macos-oldrel	OK	107
windows-devel	OK	92
windows-release	OK	94
windows-oldrel	OK	86
wasm-release	OK	121