Events Calendar

16 Apr
R and RStudio Drop-In Hour
Event Type

Trainings & Workshops

Topic

Technology, Research

Target Audience

Undergraduate Students, Staff, Faculty, Graduate Students, Residents & Fellows

Website

https://pitt.libcal.com/calendar/toda...

University Unit
University Library System
Hashtag

#DSSatPitt

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R and RStudio Drop-In Hour

This is a past event.

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, postdocs, 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 or machine learning method in the R setting 
  • production of documents or slides involving R code or outputs 
  • 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, April 16 at 5:00 p.m. to 6:00 p.m.

Hillman Library, Room 255 (Hybrid Conference Room)
3960 Forbes Avenue, Pittsburgh, PA 15260

R and RStudio Drop-In Hour

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, postdocs, 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 or machine learning method in the R setting 
  • production of documents or slides involving R code or outputs 
  • 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, April 16 at 5:00 p.m. to 6:00 p.m.

Hillman Library, Room 255 (Hybrid Conference Room)
3960 Forbes Avenue, Pittsburgh, PA 15260

University Unit
University Library System
Hashtag

#DSSatPitt

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