Genomics - Intro to R (March 2016)
Introduction
This course aims to teach participants basic concepts, skills, and tools for working more effectively with data. This workshop was designed for those interested in working with Genomics data in R. You don’t need to have previous knowledge of R or programming to take this course. Participants are encouraged to bring their own laptops and install R and RStudio prior to the workshop.
Topics:
Date
March 7, 2016 (10:00 AM - 12:00 PM)
Audience
All NOVICE graduate students or researchers.
Instructors:
- @u2ng - Reid Otsuji (Research Data Curation Specialist)
- @jt14den - Tim Dennis (Data Librarian)
- Mary Linn Bergstrom (Research Data Curation Liaison Librarian)
Resources
- Collaborative Notetaking: Etherpad
- Registration Page
- Code Sample Page: Intro to R
- Software Carpentries Lesson
Setup
This workshop is taught in a hands-on style, so participants are encouraged to use their own computers. To participate in this course, you will need access to the software described below. In addition, you will need an up-to-date web browser.
R
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Windows
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE.
Mac OS X
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
Linux
You can download the binary files for your distribution from CRAN. Or you can use your package manager (e.g. for Debian/Ubuntu run sudo apt-get install r-base and for Fedora run sudo yum install R). Also, please install the RStudio IDE.