Package: multidplyr 0.1.3.9000
Hadley Wickham
multidplyr: A Multi-Process 'dplyr' Backend
Partition a data frame across multiple worker processes to provide simple multicore parallelism.
Authors:
multidplyr_0.1.3.9000.tar.gz
multidplyr_0.1.3.9000.zip(r-4.5)multidplyr_0.1.3.9000.zip(r-4.4)multidplyr_0.1.3.9000.zip(r-4.3)
multidplyr_0.1.3.9000.tgz(r-4.4-any)multidplyr_0.1.3.9000.tgz(r-4.3-any)
multidplyr_0.1.3.9000.tar.gz(r-4.5-noble)multidplyr_0.1.3.9000.tar.gz(r-4.4-noble)
multidplyr_0.1.3.9000.tgz(r-4.4-emscripten)multidplyr_0.1.3.9000.tgz(r-4.3-emscripten)
multidplyr.pdf |multidplyr.html✨
multidplyr/json (API)
NEWS
| # Install 'multidplyr' in R: |
| install.packages('multidplyr', repos = c('https://tidyverse.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tidyverse/multidplyr/issues
Last updated 3 months agofrom:9737ad03ff. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
| R-4.4-win | OK | Oct 27 2024 |
| R-4.4-mac | OK | Oct 27 2024 |
| R-4.3-win | OK | Oct 27 2024 |
| R-4.3-mac | OK | Oct 27 2024 |
Exports:%>%cluster_assigncluster_assign_eachcluster_assign_partitioncluster_callcluster_copycluster_librarycluster_rmcluster_senddefault_clusternew_clusterpartitionparty_df
Dependencies:BHcallrclicrayondplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigprocessxpsqsR6RApiSerializeRcppRcppParallelrlangstringfishtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Call a function on each node of a cluster | cluster_call cluster_send |
| Cluster utitility functions | cluster_assign cluster_assign_each cluster_assign_partition cluster_copy cluster_library cluster_rm cluster_utils |
| Create a new cluster with sensible defaults. | new_cluster |
| Partition data across workers in a cluster | partition |
| A `party_df` partitioned data frame | party_df |
