University of Connecticut University of UC Title Fallback Connecticut



SCS is pleased to announce three FREE introductory workshops that will cover the R and RStudio software for statistical computing and graphics! R is a powerful statistical computing tool sophisticated enough for leading edge statistical research while still remaining easily accessible to someone with little to no programming experience. R boasts one of the largest statistical computing toolsets and helpful online communities of any present day statistical software while remaining completely free of charge. Rstudio provides an even more intuitive programming environment for users and has a free version as well.

Where: Austin (AUST) 313

When:  5:30pm-6:30pm Wednesday: April 12, 2017, April 19, 2017 and April 26, 2017

  • Session 1: Introduction to R and Rstudio (4/12 5:30PM – 6:30PM)
  • Session 2: Introduction to R graphics with the ggplot2 package (4/19 5:30PM –6:30PM)
  • Session 3: Basic statistical analysis in R (4/26 5:30pm-6:30pm)

Who: Any UConn or UCHC faculty, students, or affiliated persons are welcome to attend.


Participants can sign up for one or multiple sessions. Registration will be closed whenever the cap number (45 for each session) is reached. For participants who would like to bring their laptops and follow along R and RStudio can be found for free at: and .

Session 1 (4/12): Introduction to R and RStudio

This workshop will focus on the basics of the R language and Rstudio programming environment. Starting with importing data and installing packages and working up to more complicated examples which will include statistical analysis and plotting. As R contains essentially limitless capabilities the workshop will aim to use a ‘teach a man to fish’ approach to learning, giving helpful tips and tricks while also putting emphasis on how to catch coding errors and the best ways to learn new techniques available in R. This workshop would be a great primer for anyone interested in attending our two following workshops on R graphics or statistical analysis in R.

Prerequisites: No experience with coding or the R language is required.


Session 2 (4/19): Introduction to R graphics with ggplot2

This workshop will introduce ggplot2, an R package that can produce a wide variety of highly customizable graphical displays. Participants will understand the core concepts behind ggplot2 such as aesthetic mappings, geometric objects, facets, statistical transformations etc. Participants with practice applying these concepts through small code exercises. Finally, a gallery showing the variety of visualizations that can be done with ggplot2 shall be shown.

Prerequisites: Participants should be familiar with R dataframes, so attending Session 1 would be helpful for anyone with limited R programming experience. As there will be coding exercises, participants are strongly encouraged to bring laptops with the latest versions of R and RStudio installed. The R package “tidyverse” should be installed as well.


Session 3 (4/26): Basic statistical analysis in R

This workshop will introduce some basic statistical analysis using R including t-tests, nonparametric statistics, correlation, multiple regression, and ANOVA. Participants will practice applying these concepts through small code exercises.

Prerequisites: Participants should have a general knowledge of R. Session 1 would be helpful for anyone with limited R programming experience.