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Introduction to R

Introduction to R Online

This event is a virtual example-driven workshop on basic skills for working with data in R. Short tutorials alternate with hands-on practical exercises, and participants are encouraged both to help one another, and to try applying what they have learned to their own research problems. The workshop is designed for those with no or little programming experience and is suitable for researchers in any subject area.  Attendees will learn how to work with different data types and perform simple manipulations of data in RStudio. 

This workshop will require software installations on your own computer before the workshop begins to ensure that the workshop runs smoothly. We anticipate this prep work will take you 10 to 30 minues. The set-up instructions and Zoom link will be sent to you via a reminder email 24 hours prior to the workshop. Seating is limited so please only register for the workshop if you can commit to doing the prep work beforehand.

Online Workshop Information:

  • The link to join this event will be found in your reminder email.
  • Please join a few minutes early to ensure that your audio setup is working correctly
  • All events are shown in Pittsburgh (ET) time. Visit this time zone converter to see when this event will take place in your time zone.
Date:
Monday, October 18, 2021
Time:
1:00pm - 4:00pm
Time Zone:
Eastern Time - US & Canada (change)
Campus:
Virtual Workshop
Categories:
  Open Science     Working With Data and Code  
Online:
This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.
Registration has closed.

Virtual Workshop Information:

  • The link to join this event will be found in your reminder email 24 hours before the event. 
  • Please join a few minutes early to ensure that your audio setup is working correctly.
  • All events are shown in Pittsburgh time. Visit this time zone converter to see when this event will take place in your time zone.

Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information.

If you require accessibility accommodations, please contact the workshop instructor.

Organizer(s)

Profile photo of Emma Slayton
Emma Slayton

About & Contact Info

Data Curation, Visualization, and GIS Specialist

eslayton@andrew.cmu.edu