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pbmcapply  

Tracking the Progress of Mc*pply with Progress Bar
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pbmcapply", "1.5.1")



Attach the package and use:
library("pbmcapply")
Maintained by
Kevin kuang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-06
Latest Update: 2022-04-28
Description:
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.
How to cite:
Kevin kuang (2016). pbmcapply: Tracking the Progress of Mc*pply with Progress Bar. R package version 1.5.1, https://cran.r-project.org/web/packages/pbmcapply
Previous versions and publish date:
1.0.0 (2016-07-06 09:44), 1.1.0 (2016-07-24 17:10), 1.1.1 (2016-09-11 00:25), 1.1.2 (2016-11-24 11:31), 1.1.3 (2016-12-14 08:13), 1.2.0 (2017-02-04 06:49), 1.2.1 (2017-02-05 13:50), 1.2.2 (2017-05-30 07:24), 1.2.3 (2017-08-07 21:01), 1.2.4 (2017-08-16 00:18), 1.2.5 (2018-05-19 16:12), 1.3.0 (2018-11-05 06:30), 1.3.1 (2019-01-14 16:40), 1.4.1 (2019-04-01 19:40), 1.5.0 (2019-07-10 23:05)
Other packages that cited pbmcapply R package
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Other R packages that pbmcapply depends, imports, suggests or enhances
Functions, R codes and Examples using the pbmcapply R package
Some associated functions: pbmclapply . pbmcmapply . progressBar . 
Some associated R codes: debugger.R . pbmclapply.R . pbmcmapply.R . progressBar.R . txtProgressBarETA.R . utils.R .  Full pbmcapply package functions and examples
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