Event box

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
  • random 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!

Date:
Tuesday, October 25, 2022
Time:
5:00pm - 6:00pm
Location:
Hillman Library, Amy Knapp Room, G-74
Campus:
Pittsburgh
Presenter:
Dominic Bordelon
Categories:
Coding and Computational Methods, Dealing with Data, Digital Scholarship Workshop/Presentation

Event Organizer

No Profile image
Dominic Bordelon