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 ...

R loops consist of RNA–DNA hybrids that accumulate at preferred regions all over the genome, such as pericentromeric DNA, telomeres, ribosomal DNA or transcription termination regions. R loops are an ...

Note the column name, mpg, is unquoted. That feature hasn’t been handy, though, if you want to write your own R functions using the tidyverse. That’s because base R functions usually need quoted ...

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 ...

There are lots of ways to share results of your R analysis: Word documents, interactive apps, even in the body of an email. But sometimes, you want a slide presentation. It’s easy to generate a ...