A package helps you track and visualize the progress of parallel version of vectorized R functions (mc*apply).
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.
Version:
Package page: https://cran.r-project.org/web/packages/pbmcapply
Install pbmcapply by pasting this command in your R console:
install.packages('pbmcapply')
Version: 
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")
Many thanks to all contributors for their time and effort to make this project better.
- Quyu Kong (@qykong)
- Francesco Napolitano (@franapoli)
- Thierry Gosselin (@thierrygosselin)
- aitap (@aitap)
- Gergely Daróczi (daroczig)