About this website

This is the website for the hands-on “R for Reproducibility” workshop taught at Ohio State University on August 18th, 2025.

Practical information about the workshop

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. During this workshop, participants will learn the basics of R and RStudio, and how to use R for reproducible data manipulation and visualization.

If you are affiliated with Ohio State University in any capacity, you can attend this workshop for free by registering here. You can find some more information about the workshop here.

There are no prerequisites: this workshop is suitable for complete beginners in R and in coding in general. This workshop is taught online via Zoom.

Instructors and organizers

This workshop is taught by the organizers of OSU Code Club:

The following helpers will be assisisting participants:

  • Hannah Toth
  • Menuka Bhandari
  • Dhanashree
  • Deepa Dhungana
  • Kelsey Badger
  • Matthew Thompson
  • Elizabeth Campolongo
  • Josh Wang
  • Net Zhang

This workshop is organized by Kelsey Badger at the OSU Research Commons, and Matthew Thompson and Elizabeth Campolongo at the OSU Imageomics Institute.

The Carpentries

This is a Carpentries workshop. The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.

The material on this website has been adapted from the R for Reproducible Scientific Analysis Software Carpentry lesson.

A sister workshop is being held on August 15th on version control with Git and GitHub.

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