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Graphics in R Using GGPlot

Ended Mar 18, 2020
2 credits

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Full course description

Term: Spring 2020
Date: March 18th, 2020
Time: 5:00pm - 7:00pm
Location: Torgersen Hall 1120
Instructors: Kate Miller, Frances McCarty, & Jennifer Van Mullekom
Presented By: Statistical Applications & Innovations Group (SAIG)


The ability to create professional grade graphics is of key importance for scientific communication. The ggplot2 package utilized in R programming offers a powerful, flexible, and free platform which can be used to produce publication-quality graphics. The following topics will be covered:
• Producing statistical graphs including histograms, bar plots, box plots, and scatter plots using the ggplot2 package in R
• Syntax to control colors, plotting characters, axes, legends, and labels • Creating high resolution graphics to various file types
• Pros and cons of various graphics and approaches 
No previous coding experience is required! Bring your laptop with R and RStudio installed on your machine. You can download them from the following links: If you already have R and RStudio on your laptop, make sure they are the most up to date versions. This course is jointly sponsored by the Statistical Application and Innovations Group (SAIG) and Networked Learning Initiatives (NLI).