About this website

This is the website for the hands-on “R for Reproducibility” workshop taught at Ohio State University on February 11th, 2025.

Practical info 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.

There are no prerequisites: this workshop is suitable for complete beginners in R and in coding in general.

You can attend the workshop either online via Zoom or in-person at co-learning sites in Columbus or Wooster (information will be sent after registration).

Instructors and organizers

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

The following helpers will be assisisting participants:

  • Menuka Bhandari
  • Fiama Guevara-Guillen
  • Melanie Medina-Lopez
  • Dhanashree
  • Kelsey Badger
  • Matthew Thompson
  • …

This workshop is organized by Kelsey Badger at the OSU Research Commons, Matthew Thompson and Elizabeth Campolongo at the OSU Imageomics Institute, and the abovementioned instructors, and is part of OSU’s 2025 International Love Data Week activities.

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.

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