The class will meet on Fridays from 2-3 pm in PAT 142, with 30 minutes after class for optional extended exercises. In addition, feel free to join us for Open Coding Hour after the class from 3-4:30pm in CCBB conference room (MBB Library/Lounge -- MBB 2nd floor classroom with glass tile walls) for any extra help or feedback.
Please use the links to the left for contact information and some useful R resources, and join the UTlist - rstats, which will email updates about the sessions periodically. Please also feel free to participate in the new Slack group, ut-open-coding-bio, and join the class channel: rstats-fall-seminar. If you have a utexas email address, you should be able to join instantly, otherwise please email Sean Leonard to get access.
The introductory survey can be found here. Please fill it out if you plan on attending the class.
Installation and Setup Instructions
You will first need to install R on your machine. Then we highly recommend installing RStudio as it's a nice and easy interface for coding in R. That's it! You're ready for the seminar!
This year, we are transitioning to using the R for Data Science book as a support textbook for the seminar. We will cover one or more of the chapters in the book for each week (except for some of the latter classes). We hope this will give you the ability to more easily delve deeper into subjects or look back at previous lessons.