Jetpack promises simple R package management
Jetpack’s goal is to make dependency management in R as easy as it is with Ruby’s Bundler and JavaScript’s Yarn package managers
Jetpack’s goal is to make dependency management in R as easy as it is with Ruby’s Bundler and JavaScript’s Yarn package managers
Other languages on the move include R, Hack, and Rust, while Python cements its position as the king of there dynamically typed languages
Prophet is aimed specifically at business problems such as computer infrastructure capacity planning.
The knowledge-sharing framework, still in beta, is designed to bring the discipline of computer-code sharing to data analysis.
IBM will back efforts to create infrastructure and best practices for the R community, as well as promote use of the language.
Sometimes when using R, you'll want more speed than base R can offer. That's why some advanced R users combine R and C++ -- and there's a package that makes it easy for you do so, too.
Why x=3 doesn't always mean what you think it should, about data types and more.
Whether it's local or from the Web, there are several ways to get data into R for further work.
The latest additions to Apache's all-in-one in-memory processing framework simplify stream processing and flesh out support for the R language
Here’s how the general-purpose favorite of scientists stacks up against the stat head’s data-honed tool of choice
The R programming language is an important tool for <a href="http://www.infoworld.com/article/2922073/analytics/how-to-put-the-r-programming-language-to-work.html">development in the numeric analysis and machine learning spaces.</a> With machines becoming more important as data generators, the popularity of the language can only be expected to grow. But R has both pros and cons that developers should know.