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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | summarisebig_0.1.0.tar.gz |
46.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | summarisebig_0.1.0.tar.gz |
46.1 KiB |
0.1.0 |
rolling source/ R- | summarisebig_0.1.0.tar.gz |
30.0 KiB |
0.1.0 |
latest linux/jammy R-4.5 | summarisebig_0.1.0.tar.gz |
46.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | summarisebig_0.1.0.tar.gz |
46.1 KiB |
0.1.0 |
latest source/ R- | summarisebig_0.1.0.tar.gz |
30.0 KiB |
0.1.0 |
2026-04-23 source/ R- | summarisebig_0.1.0.tar.gz |
0 B |