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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 

  • table pivots and joins 

  • determining and plotting an appropriate visualization of data 

  • troubleshooting error messages 

  • application of a statistical method in the R setting 

  • 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! 

Check out our 5-part Fall R workshop series.

Date:
Tuesday, November 14, 2023
Time:
4:30pm - 5:30pm
Location:
Hillman Library, Room 255 (Hybrid Conference Room)
Campus:
Pittsburgh
Categories:
Computational Research Methods, Digital Scholarship Drop-In Hours, Workshops

Event Organizer

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Dominic Bordelon