https://github.com/cole-brokamp/mappp

map in parallel with progress
https://github.com/cole-brokamp/mappp

Last synced: 5 months ago
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map in parallel with progress

• Host: GitHub
• URL: https://github.com/cole-brokamp/mappp
• Owner: cole-brokamp
• License: other
• Created: 2020-02-08T13:16:22.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2022-01-25T13:43:37.000Z (about 3 years ago)
• Last Synced: 2024-08-13T07:14:13.348Z (9 months ago)
• Language: R
• Size: 22.5 KB
• Stars: 11
• Watchers: 3
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# mappp

> **map** in **p**arallel with **p**rogress

[![CRAN status](https://www.r-pkg.org/badges/version/mappp)](https://CRAN.R-project.org/package=mappp)

[![R-CMD-check](https://github.com/cole-brokamp/mappp/workflows/R-CMD-check/badge.svg)](https://github.com/cole-brokamp/mappp/actions)

The goal of mappp is to provide a simple implementation of `purrr::map` or `base::lapply` that provides enhanced features like parallel computation, progress bars, error handling, and result caching.

- **progress**: `mappp()` will always report its progress

- **error handling**: by default, if `mappp()` encounters an error, it will return `NA` instead of interrupting the entire calculation

- **parallel**: if `parallel = TRUE`, `mappp()` will attempt to calculate in parallel by using the maximum number of available cores

- **cache**: if `cache = TRUE`, `mappp()` will memoise the results in a local cache folder

Please note that this package relies on forking via [`parallel::mclapply()`](https://stat.ethz.ch/R-manual/R-devel/library/parallel/html/mclapply.html) which means that parallel computation is not available on Windows platforms.

## Installation

mappp is hosted on CRAN and can be installed with:

```r

install.packages("mappp")

```