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Graphics in R Using GGPlot Short Course

Ended Apr 10, 2024
2 credits

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Full course description

Term: Spring 2024

Date: April 10th, 2024

Time: 6:00pm - 8:00pm

Location: Graduate Life Center Room 40

Instructor: Kate Miller

Presented By: Statistical Application and Innovations Group (SAIG)

 

Description:

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: https://www.r-project.org/ https://www.rstudio.com/products/rstudio/download/ 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 Professional Development Network (PDN).