Other packages > Find by keyword >

summarisebig  

Grouped Summaries for Large 'arrow' Datasets
View on CRAN: Click here


Download and install summarisebig package within the R console
Install from CRAN:
install.packages("summarisebig")

Install from Github:
library("remotes")
install_github("cran/summarisebig")

Install by package version:
library("remotes")
install_version("summarisebig", "0.1.0")



Attach the package and use:
library("summarisebig")
Maintained by
Lorenzo Isella
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-21
Latest Update: 2026-09-21
Description:
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>.
How to cite:
Lorenzo Isella (2026). summarisebig: Grouped Summaries for Large 'arrow' Datasets. R package version 0.1.0, https://cran.r-project.org/web/packages/summarisebig. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited summarisebig R package
View summarisebig citation profile
Other R packages that summarisebig depends, imports, suggests or enhances
Complete documentation for summarisebig
Functions, R codes and Examples using the summarisebig R package
Full summarisebig package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA