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Users of R and RStudio are invited to bring their questions to this weekly in-person office hour. Tutoring-style assistance is offered. If we don’t know the answer, we’ll help you look for it! Students, faculty, and staff are all welcome.

Example topics we have assisted participants with:

  • base R (working with vectors, writing functions)
  • importing (e.g., from CSV) and cleaning data
  • using tidyverse to examine and filter data
  • plotting using ggplot2
  • troubleshooting error messages
  • figuring out a workaround to a non-functional package

Can't make it to in-person office hours? You can always contact us with your questions about R and RStudio!

Tuesday, February 7, 2023
5:00pm - 6:00pm
Hillman Library, Room 255 (Hybrid Conference Room)
Digital Scholarship Drop-In Hours

Event Organizer

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Dominic Bordelon