| layout | title |
|---|---|
page |
About |
This course combines video, HTML and interactive components to teach the statistical programming language R.
To start this course, you'll need to
- Install the newest version of R, which can be done here. Make sure you have version 3.0 or greater.
- Install RStudio, which can be found here. While the course covers only the absolute basics of using the software, you can view a video overview here and look into the detailed documentation here.
This course is divided into four lessons, each of which is divided into 4-8 segments. We combine a few types of material:
- Videos: Each segment is associated with a 3-8 minute video tutorial. As you watch the video you should have RStudio open, and follow along with every line of code yourself!
- Quizzes: Each segment includes a brief, self-evaluation quiz performed interactively in R, using Swirl. See here to learn how to install the lessons and take the quizzes.
- Code: All the code that is typed in the video is provided along with its output (example)- this can be helpful if you need to quickly look up how a command was performed or get the spelling and syntax correct.
You do not necessarily need to take all four lessons in the suggested order. If you have taken a course on R before, and feel comfortable with concepts such as vectors, data frames, lists, and matrices, you may be able to skip some or all of Lesson 1. If you aren't familiar with the ggplot2 package, you'll need to take Lesson 2 before Lessons 3 and 4, which both assume you're comfortable with it.
Lessons 2-4, along with the site and quizzes, were developed by David Robinson, a PhD student in Quantitative and Computational Biology at Princeton. Lesson 1's videos were written and recorded by Neo Christopher Chung. Videos were filmed and edited by the Princeton Broadcast Center in conjunction with the McGraw Center for Teaching and Learning.
Video content within the course is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. All other content, including code and quizzes, is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Lesson 4 relies on the Lahman Baseball Database, which is copyright by Sean Lahman and licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
The code for the site itself (found here) is released under the MIT License. It was originally modeled on Jeffrey Leek's home page.