Statistical programming language R has fallen off Tiobe index's list of the 20 most popular languages, having spent three years in the top tier. Tiobe now places R in 21st position and suggests the ...

Tiobe index of programming language popularity index has the R language for statistical computin back in its top 10.

Statistical programming language R has climbed back up to 8th place in Tiobe's latest programming language popularity index, just behind JavaScript and up from 20th position last July. In May, when R ...

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. And this particular book on R is one that is likely to teach you ...

Interoperability difficulties resulting from discrepancies in preferred programming languages can be resolved via statistical computing environments. In the biomedical and pharmaceutical industries, ...

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 others, C ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

R is a free computing and graphical software/environment for statistical analysis. Part I of this short course consists of 2 sections: Section 1 introduces R programming basics, including data objects ...

R is an open source programming language especially designed for manipulating data and performing statistical analysis. It is very similar to SAS Enterprise Guide except: R is a programming language.