2021 Introduction to R Workshop

This repository contains all materials for the biannual Introduction to R workshop. This workshop will take place virtually over the course of two half-day sessions on September 22-23rd as part of EPA's annual R-User Group Workshop.

Workshop Instructors

• Sabrina Deeley
• Marschall Furman
• Nichole Kulikowski
• Geoffrey Millard

Workshop Preparation

Before Day 1, make sure to download the zipped folder that was sent via email (materials can also be found on Repo)

Schedule

Session 1 (9/22): Welcome to R and RStudio

Lead: Nichole Kulikowski

This session starts from scratch and assumes no prior knowledge. We will learn how to launch RStudio, write basic code, and build a starter toolkit of R-skills that will carry us throughout the rest of the workshop.

Session 2 (9/22): Getting and Cleaning Data

Lead: Sabrina Deeley

This session goes over important R basics using base R, including: naming and creating columns, data checks, selecting for specific data within the larger dataset, combining datasets, and saving/importing excel and csvs into R.

Session 3 (9/23): Summarizing and Exporting Data

Lead: Geoffrey Millard

This session uses a mix of live demonstrations/code along and exercises to build off of skills developed in Lessons 1 and 2 to quickly summarize data into descriptive statistics. Summary data and tables can be easily exported and shared as .csv files or .html. If time allows, a brief demonstration of a couple baseR statistics will also be shown. In order to show how this might work with real data, we will be using some previously published real data.

Session 3 commented code

Session 4 (9/23): Visualizing Data

Lead: Marschall Furman

This session will cover some techniques for data visualization in R, primarily with the ggplot2 package, using a water dataset.

We will learn about the "layers" involved in making graphics, practice customizing features of our plots with data, and learn how to adjust the formatting of our charts

Session 4 commented code

Additional Resources

Any links to fact sheets and other sites can go here

• Cheatsheet: Tidyverse for Beginners
• YaRrr! The Pirate's Guide to R

EPA Disclaimer

The United States Environmental Protection Agency (EPA) GitHub project code is provided on an "as is" basis and the user assumes responsibility for its use. EPA has relinquished control of the information and no longer has responsibility to protect the integrity , confidentiality, or availability of the information. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by EPA. The EPA seal and logo shall not be used in any manner to imply endorsement of any commercial product or activity by EPA or the United States Government.