Rfun - R Open Lab: semi-structured opportunities for learning R
This new series is designed to help us all learn in groups. The six-week, guided learning hour will provide a safe and comfortable environment for learning more about the R programming language, RStudio, and the Tidyverse. The series goal is to enable researchers and students a low-stress hour to learn and hone data savvy skills. Attendees will gain greater familiarity with a tool-suite designed to foster reproducibility and transparency as vital components of the researcher's workflow.
In the first meeting we will decide, as a group, which resource we use to guide us. We will pick one of the following resources, either ...
- R for Data Science by Hadley Wickham & Garrett Grolemund (select chapters, workbook problems, and solutions)
- the RStudio interactive R Primers
- Advanced R by Hadley Wickham (select chapters and workbook problems)
- the interactive dataquest.io learning series on R
RSVP for each individual instances of this event. Event Dates are all on Mondays: Sept. 16, Sept 23, Sept 30, Oct. 14, Oct. 21, Oct. 28.
See our FAQ for more information.
NOTE: Bring your laptop. The Edge Workshop Room does not provide computers.
NOTE 2: If you need help configuring your laptop for this workshop, come to the DVS Walk-In Hours before the workshop: Wednesdays between 1-3pm. (Floor Map for Bostock Library > 1st Floor > Brandaleone Lab for Data and Visualization Services.)
NOTE 3: Workshop location is different than the location for laptop configuration help.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
- Monday, September 16, 2019 Show more dates
- 6:00pm - 7:00pm
- Bostock 127 (The Edge Workshop Room)
- West Campus
- Data and Visualization