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This is the repo for “Using R and the tidyverse for Data Science” given at the 2019 Summer Statistical Institute in May 2019.

This workshop is designed for those who want to learn how to use R to analyze data. The material is based on Hadley Wickham and Garrett Grolemund’s R for Data Science. We’ll talk about how to conduct a complete data analysis from data import to final reporting in R using a suite of packages known as the tidyverse. The two goals of this workshop are: 1) learn how to use R to answer questions about our data; and 2) write code that is human readable and reproducible. We will also talk about how to share our code and analyses with others.

In order to install the workshop materials (e.g., slides, exercises), you’ll need a laptop that can access the internet (wifi will be available). Before the workshop, install the following:

1. A recent version of R (~3.6.0), which is available for free at cran.r-project.org
2. A recent version of RStudio IDE (~1.2.1335), available for free at www.rstudio.com/download
3. The set of relevant R packages, which you can install by connecting to the internet, opening RStudio, and running the code in setup.R.

More detailed instructions can be found on the workshop website. Don’t forget to bring your power cord!

Jake Thompson

• Website: wjakethompson.com
• GitHub: wjakethompson
• Twitter: @wjakethompson

Using R and the tidyverse for Data Science by Jake Thompson is licensed under a Creative Commons Attribution 4.0 International License. Based on the work of Garrett Grolemund, Charlotte Wickham, and Amelia McNamara.