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Graphics in R Using GGPlot

Ended Nov 4, 2020
2 credits

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Full course description

Term: Fall 2020

Date: November 11th, 2020

Time: 4:30pm - 6:30pm 


Instructors: Kate Miller, Frances McCarty, & Jennifer Van Mullekom

Presented By:  Statistical Application and Innovations Group (SAIG) and Professional Development Network (PDN).



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 Professional Development Network (PDN).