Programming has become essential for looking at large datasets, and the R language is particularly useful for statistical analysis. With the R Programming Language Compiler app, you can now test and ...

R is the most popular language used for data analysis, modelling and visualisation. It is great for linear and non-linear models, parametric and non-parametric tests, clustering and time-series models ...

We're at the beginning of a new wave of numeric data -- and the new R language provides a powerful array of tools to make sense of it all We tend to think of programming languages as general purpose, ...

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 ...

Do you want to improve your R skills? Here are my favorite R language resources for users at any level. [This story is part of Computerworld’s “Beginner’s guide to R.” You’ll find links to the whole ...

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 ...