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
Location:
Hillman Library, Amy Knapp Room, G-74
Presenter:
Dominic Bordelon
Categories:
Coding and Computational Methods, Dealing with Data, Digital Scholarship Workshop/Presentation