The various interactive courses range from beginner (e.g., basics of R programming, statistics and data visualization, basic statistics boot camp) to more intermediate and advanced topics (e.g., regression, manipulating data, statistical inference). Designed for the R newbie, this interactive course walks users through each of the steps to get acquainted with R. Swirl is an R package that makes it fun and easy to learn R programming and data science. The focus is on learning the syntax of the language with worrying about setting up your environment. This interface is great because you don’t need to download any software. This website walks you through the basics of working with vectors, matrices, factors, data frames, and lists. This is a great and accessible way to learn conceptually how R works under the hood. He also covers some programming basics, like looping. Matloff goes into incredible detail when describing what variables are, what you can do with them, etc. This is a great (textbook) resource for getting started with R. The Art of R Programming by Norman Matloff We love this resource because it covers the basics of R programming in a clear and funny way. If you ever feel ambitious enough to learn R and Pirate simultaneously, then this is the resource for you! This PDF contains all of the resources for the fundamentals of getting started with R, for both you and your fellow pirates. YaRrr! The Pirate’s Guide to R by Nathaniel Phillips (free) She also covers basic statistics in the textbook, so if you’re looking for a primer on t-test and regression models, start here.
Danielle makes learning R simple and entertaining. Built around a free textbook written for college undergrads, the website includes the slides, audio, and exercises from a 5-hour workshop. We can’t speak highly enough of this website. Learning Statistics with R by Danielle Navarro (free)
However, note that you need to download R before you can download RStudio. This is a great interface that makes R more accessible and user-friendly. Many of the packages you will want to use are available here. This is the website where you download R. Below are some great tutorials that are freely available online and are great introductory tools for getting you started on your journey to R mastery.
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