Look for update on the R Programming Workshop Series!

Update as of 3-18-2020: The majority of  R Programming Workshops noted below are canceled due to COVID-19 concerns. Coordinators are working to make a version of the Data Wrangling workshop available online on May 1, 2020. Check back here for updated information, then you can register!

Ebling Library is offering four individual R programming Workshops on R programming for researchers. The intended audience is anyone at UW-Madison who is working with tabular research data (including graduate students, faculty, research staff, and undergraduate researchers) and would like to learn how to automate data processing using the R programming language. The content is based heavily on the R Ecology Data Carpentry content, but will cover useful skills for anyone working with tabular data.

Registration requested. Click here to register. Information in the work shops is cumulative. While attendees are invited to come to all four workshops (and in that case should register for all four)- any one of them will be valuable.

Calendar below not valid, see update above…

R Basics 3/6/2020 10:00 AM 12:00 PM Health Sciences Learning Center, Room 3110A
R Data Wrangling 3/20/2020 10:00 AM 12:00 PM Health Sciences Learning Center, Room 1225DE
R Visualization 4/3/2020 10:00 AM 12:00 PM Health Sciences Learning Center, Room 3110A
R Reports 5/1/2020 10:00 AM 12:00 PM Health Sciences Learning Center, Room 3110A

Why learn R?

Learning any programming language is not trivial. So why should researchers use their limited time to do so?

  • Coding in any language will make the analysis that you do more reproducible and repeatable. With R, you can share executable scripts with colleagues and run the same analyzes on similar datasets.
  • R is widely used for research computing. R has over 10,000 packages that add discipline-specific functionality.
  • These packages allow R to import a variety of data types, from tabular and geospatial data, to text and genomic sequences.
  • R also produces high quality, publication ready graphs.
  • R is free, open source and cross platform, allowing you to take it to any organization you may work at in the future.

Here’s the online research guide for more information.