Happy Friday everyone! Here's some news from the world of R:
- RStudio & Docker: Rami Krispin has published a tutorial on running RStudio Server inside a Docker container. A great starting point for any R users wanting to learn more about Docker and the images that the Rocker project provides.
- Fast statistics:?Sebastian Krantz has written an article about his package {collapse}, which aims to provide fast, efficient data manipulation and statistics via C/C++. An intriguing package that I haven't delved into myself, but is growing in popularity and well-maintained - v2.0.11 was released 4 days ago.
- Financial economics: ?Christoph Scheuch et al. have released the first version of their new {tidyfinance} package onto CRAN, providing helper functions for approaching economics and finance in a tidyverse framework.
- High performance parallel computing: this blog post discusses a group of packages I've been keeping my eye on which are built on {nanonext}, a binding to the state of the art C library 'NNG' (Nanomessage Next Generation). Packages like {mirai} and {crew} have built on this and are starting to create an exciting ecosystem of packages for efficient, elegant parallel computing.
- Open source: ?ROpenSci have released a new version of their dev guide - this blog post discusses the latest changes including improvements to packaging and Github guidance, as well as a Spanish translation and other improvements.
- Fun fact:??Try running the below in R
- {arrow} v15.0.1 - the latest release includes bindings for additional base R functions.
- {xxhashlite} v0.2.2 - a newer package which provides fast hashing of objects via the 'xxHash' C library.
I post updates like this every week so if you're interested feel free to follow. Comment below if there's something interesting you found out this week too!
