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:
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base R (working with vectors, writing functions)
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importing (e.g., from CSV) and cleaning data
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table pivots and joins
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determining and plotting an appropriate visualization of data
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troubleshooting error messages
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
Location:
Hillman Library, Room 255 (Hybrid Conference Room)
Categories:
Computational Research Methods, Digital Scholarship Drop-In Hours, Workshops