Start coding using RStudio.cloud Primers. It’s also available in paper, electronic, and free online versions. If you don’t yet know enough about R to commit to R for Data Science, you may find Garrett Grolemund’s Hands On Programming with R ( 2014) a quicker way to get started. R For Data Science is also available for free as a online book at. R For Data Science is available in paper and electronic forms and has been translated into multiple languages including Spanish, so choose the version that’s easiest for you. If that describes you, pick up a copy of R For Data Science by Wickham and Grolemund ( 2016) from your friendly local bookseller. While videos are great for some, others of us learn best by curling up with a good book. Plus, you’ll find a host of other RStudio webinars and videos to explore via the topic menus on the left side of that page. This one-hour introduction covers how to get started quickly with the basics of research statistics in R, providing an emphasis on reading data into R, exploratory data analysis with the tidyverse, statistical testing with ANOVAs, and finally producing a publication-ready plot in ggplot2. If you are coming to R from a traditional point-and-click statistics package such as SPSS or SAS, RStudio’s Thomas Mock has created a free video webinar titled A Gentle Introduction to Tidy Statistics In R. Spend an hour with A Gentle Introduction to Tidy Statistics In R. You may also enjoy the Basic Basics lesson unit from R-Ladies Sydney, which provides an opinionated tour of RStudio for new users and a step-by-step guide to installing and using R packages. For beginner-friendly installation instructions, we recommend the free online ModernDive chapter Getting Started with R and RStudio. These three installation steps are often confusing to first-time users. Install, RStudio, and R packages like the tidyverse. No one starting point will serve all beginners, but here are 6 ways to begin learning R.

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