There’s also the option of embedding R in other code where someone has written a bridge — for example, using R in conjunction with the F# functional programming language. Blending functional ...

Get started using the open source R programming language to do statistical computing and graphics on large data sets Topics Spotlight: AI-ready data centers ...

by Tilman M. Davies, no starch press, 2016. You might not have ever heard of the programming language R but, if you’re doing data analysis, it might be just the language you need.

You may not think of R when you’re looking for a GIS platform, but new packages and standards have helped make the R programming language a surprisingly robust platform for some geospatial analysis.

Programming experience: While prior programming experience can be beneficial, it is not strictly necessary to learn R. Beginners can start with basic statistical concepts and gradually build their ...

The R programming language leans more frequently to the cutting edge of data science, giving businesses the latest data analysis tools. The problem: With loose standards and scores of diverse ...

For those who might be wondering, the programming language was created by Ross Ihaka and Robert Gentleman in 1993. Furthermore, note that most of the R libraries are written using R, but for ...

Suresh has benchmarked statistical programming language R's fread, Pandas' read_csv for Python, and Julia's CSV.jl CSV parsers and reckons that Julia comes out on top.

C remains the top programming language, according to the August index from software QA automation company TIOBE. But the spotlight for up-and-coming language remains focused on R, which continues ...

The R programming language is quickly gaining popular ground against the traditional statistics packages such as SPSS, SAS and MATLAB, at least according to one data statistician who teaches the ...