Learning R the EZ Way

This resource was created at the University of Maryland (UMD) for instructors who want to teach, students who want to learn, and researchers who want to use R for statistical discovery and analysis. While this is a book, it is largely based on hands-on examples with video walk-throughs to take students through accessing R and RStudio, the basics of R and progressing to analyses step by step. The goal is to build confidence with programming early on and demonstrate best coding practices from the start.

While there are a number of excellent free R textbooks (we especially love: https://benwhalley.github.io/just-enough-r/ and https://learningstatisticswithr.com/) none we have found offered the level of support students in our classes wanted. We sincerely hope this resource benefits not only students taking our PSYC300 course but a much wider population of R learners and instructors.

After completing this course, you will be able to:

• Explain the benefits of learning R

• Conduct descriptive and inferential statistics in R 

• Visualize data in R

• Interpret output from R and draw appropriate conclusions

• Apply knowledge of statistics and R programming to new datasets and research problems

This is an open education resource (OER) that we continually update to create the best learning materials. If you have any feedback, questions or other resources, we welcome your thoughts to collaboratively build better material and a more open science! To leave feedback you may fill out this form or contact us at ttomlin1@umd.edu or achicoli@umd.edu. 

About this book

How to Use This Book: Instructor and Student Resources