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 ...

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 ...

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 ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

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 ...