https://github.com/kvnkuang/pbmcapply
Tracking the progress of mc*apply with progress bar.
https://github.com/kvnkuang/pbmcapply
parallelization progress-bar r
Last synced: 11 months ago
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Tracking the progress of mc*apply with progress bar.
- Host: GitHub
- URL: https://github.com/kvnkuang/pbmcapply
- Owner: kvnkuang
- License: other
- Created: 2016-06-24T15:19:32.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2022-04-28T13:50:00.000Z (about 4 years ago)
- Last Synced: 2024-09-22T16:17:57.865Z (over 1 year ago)
- Topics: parallelization, progress-bar, r
- Language: R
- Size: 88.9 KB
- Stars: 43
- Watchers: 5
- Forks: 5
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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).

Please check this [blog article](https://kevinkuang.net/tracking-progress-in-r-ad97998c359f) 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:  
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: []() [](https://travis-ci.org/kvnkuang/pbmcapply)
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.
- Quyu Kong ([@qykong](https://github.com/qykong))
- Francesco Napolitano ([@franapoli](https://github.com/franapoli))
- Thierry Gosselin ([@thierrygosselin](https://github.com/thierrygosselin))
- aitap ([@aitap](https://github.com/aitap))
- Gergely Daróczi ([daroczig](https://github.com/daroczig))
## License
[MIT license](https://opensource.org/licenses/MIT)