When: Tuesdays, 4:30–5:30pm, Aug. 29–Dec. 5
Where: Hillman Library, Rm. 255. How to find it: turn left out of the elevator, then right. Walk towards the dark gray door, with the frosted glass on your right. Rm. 255 will be on your left.
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
What you should bring: your laptop and your question/problem.
This service is provided free of charge for the Pitt community by the University Library System, Digital Scholarship Services. For questions, contact the Library here.
The r-lessons-learned repository
An associated code repository accompanies this office hour for future reference. You can access it here: https://github.com/dojobo/r-lessons-learned/.