Welcome!

This is the official website for the Fall 2017 Peer-led Data Analysis in R at UT Austin, offered through the Center for Computational Biology and Bioinformatics. The goal for this class is to provide practical data science programmatic experience using R and RStudio.

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 right after at Fridays 3-4pm 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!

Textbook

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.

Schedule and Materials

Date Topic Materials (Download Link) Instructor
September 15, 2016 Data Visualization in R (ggplot2) Cheatsheet and Files Claire McWhite
September 22, 2016 Working with data (tidyr and dplyr) Cheatsheet and Files Anne Chambers
September 29, 2016 Automating analyses (purrr) Cheatsheet and Files Christopher Peterson
October 06, 2016 Creating your own functions Cheatsheet and Files Shankari Subramaniam
October 13, 2016 Tidy regression and model building Cheatsheet and Files Spencer Fox
October 20, 2016 Simulating in R Cheatsheet and Files Shankari Subramaniam
October 27, 2016 Simple Bayesian in R Cheatsheet and Files Christopher Peterson
November 03, 2016 Doing Science in R Cheatsheet and Files Spencer Fox
November 10, 2016 Advanced ggplot2 Cheatsheet and Files Claire McWhite
November 17, 2016 TBD Cheatsheet and Files TBD
December 01, 2016 TBD Cheatsheet and Files TBD