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 ...

A language that's data-intensive naturally should have a way to dig into the data effectively. Here's a look at some of the R functions for searching and sorting through it all. Searching and sorting ...

Let's explore factor analysis again, this time using the R ability to tap into OOP, but we won't use the RC model. The R language was created primarily to perform statistical analyses in an ...

Do you want to use ggplot2, dplyr, or other tidyverse functions in your own functions? This easy example shows how Tidy evaluation in R, or tidy eval for short, is a pretty complex topic. But for some ...

R packages are great for organizing your own work, not only sharing with others. See how to create an R package in a few simple steps, thanks to packages like devtools, usethis, and roxygen2 When you ...