
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!
Tuesday, October 17 at 4:30 p.m. to 5:30 p.m.
Hillman Library, Room 255 (Hybrid Conference Room)
3960 Forbes Avenue, Pittsburgh, PA 15260
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!
Tuesday, October 17 at 4:30 p.m. to 5:30 p.m.
Hillman Library, Room 255 (Hybrid Conference Room)
3960 Forbes Avenue, Pittsburgh, PA 15260