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pbmcapply: tracking the progress of mc*apply in R.

A package helps you track and visualize the progress of parallel version of vectorized R functions (mc*apply).

Flowchart

Please check this blog article for an comparasion between available methods to track progress in R.

Notice: Parallelization (mc.core > 1) works on *nix (Linux, Unix such as macOS) only due to the lack of fork() functionality, which is essential for mcapply, on Windows.

Installation

Stable release on CRAN

Version: CRAN version Download count

Package page: https://cran.r-project.org/web/packages/pbmcapply

Install pbmcapply by pasting this command in your R console:

install.packages('pbmcapply')

Development release on Github

Version: GitHub release Build Status

Project page: https://github.com/kvnkuang/pbmcapply

Build pbmcapply by pasting these commands in your R console:

library(devtools)
install_github("kvnkuang/pbmcapply", ref = "dev")

Contributors

Many thanks to all contributors for their time and effort to make this project better.

License

MIT license


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