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 ...

Vectors, lists, arrays, matrices and data frames -- a look at five of the most fundamental data structures built into R. Among my colleagues, R is one of the fastest-growing programming languages.

When coding in any language, you must first recognize that certain symbols or combinations of symbols correspond to specific actions. Below are some general tips when coding in the R language: On any ...

Have data sets scattered all over the place? Here's how to pull them into a single, robust catalog with the pointblank R package and a Quarto document. Do you have data sets scattered all over the ...

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 ...

Let's use this classical statistics technique -- and some R, of course -- to get to some of the latent variables hiding in your data. Factor analysis is a classical statistics technique that examines ...