Almost every R user knows about popular packages like dplyr and ggplot2. But with 10,000+ packages on CRAN and yet more on GitHub, it’s not always easy to unearth libraries with great R functions. One ...

The three most common open source technologies for writing data science programs are Python, SciLab, and R. Here's how to write program-defined functions in R. There's no clear definition of the term ...

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, ...

R syntax can seem a bit quirky, especially if your frame of reference is, well, pretty much any other programming language. Here are some unusual traits of the language you may find useful to ...

Although there are many functions in the base package of R, sometimes there may not be a function that does exactly what you want. In this case, R allows users to create their own functions and call ...

Before you can analyze and visualize data, you have to get that data into R. There are various ways to do this, depending on how your data is formatted and where it’s located. Usually, the function ...