Genomics - Data Visualization in R

Introduction

This workshop is geared to researchers wanting to use R for basic data visualization. It will cover ggplot2 and touch on ggvis for data visualization. Some experience with R or attendance of the Intro to R course on 3/7 is required.

Topics:

• Basic plots, Advanced plots & Writing images (from DataCarpentry)
• GGPLOT2 - from Bioinformatics Data Skills

Date

• March 9, 2016 (10:00 AM - 12:00 PM)

Location

Biomedical Library Building - Classroom 4

Audience

All graduate students or researchers.

Resources

• Bioinformatics Data Skills
• R Graphics Cookbook
• Ggplot2: elegant graphics for data analysis/Hadley Wickham
• Registration Page
• Lecture Notes: ggplot2
• ggplot2 documentation

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. This class is

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.