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

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

Spreadsheets are still useful, but if you do a lot of work with numbers, you'll realize that they have limitations.

If you're a data scientist and need to analyze loads of CSV files for insights into, say, stock-price and market movements, the Julia programming language trumps machine-learning rivals Python and R, ...

Introduction -- Why use R for your statistical work? -- Whom is this book for? -- My own background -- Getting started -- How to run R -- A first R session -- Introduction to functions -- Preview of ...

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 ...

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 ...