Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

pbmcapply: Tracking the Progress of Mc*pply with Progress Bar

Kevin Kuang (aut), Quyu Kong (ctb), Francesco Napolitano (ctb)

CRAN: Contributed Packages · 2016

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Summary

A light-weight package helps you track and visualize the progress of parallel version of vectorized R functions (mc*apply). Parallelization (mc.core > 1) works only on *nix (Linux, Unix such as macOS) system due to the lack of fork() functionality, which is essential for mc*apply, on Windows.

Outcomes reported

Referenced by Nature Communications British biodiversity scenarios as citation 109; likely supports topic area: biodiversity / conservation. Topics: biodiversity / conservation Evidence type: Research article / other Source report: Nature Communications British biodiversity scenarios Ref#: Nature Communications British biodiversity scenarios #109 Original: Kuang, K., Kong, Q. & Napolitano, F. pbmcapply: Tracking the Progress of Mc*pply with Progress Bar (Version 1.5.1) https://cran.rproject.org/web/packages/pbmcapply/index.html (2022).

Theme
Farming systems, soils & land use
Subject
Other / interdisciplinary
Study type
Research
Source type
Peer-reviewed research
Status
Published
Geography
United Kingdom
System type
Other
DOI
10.32614/cran.package.pbmcapply
Catalogue ID
IRmoq83nfn-4f6348
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