[Plantsci] FW: R labs in November

[Lambert, Georgina M - (glambert)]

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All sessions will be 9-11 am (MST) on Tuesday through Zoom at https://arizona.zoom.us/j/437855363. To get the most out of these workshops, participants should bring a laptop with R and RStudio installed<https://jcoliver.github.io/learn-r/000-setup-instructions.html>. If you miss a session, you can always check out the collaborative blog at https://hackmd.io/@jcoliver/SJVjEsOZw, with helpful tips that come out of discussion sessions.

  *   November 03: Open R lab: Bring your R questions or just come in to write some code.
  *   November 10: Git and GitHub with RStudio: Ready to stop e-mailing code to your collaborators? Want a better way of keeping track of the changes you make on your programming projects? The Git system is designed to make collaboration easier and more transparent. This lesson provides an introduction to the version control system Git, one central sharing point called GitHub, and how you can use the two in RStudio.
  *   November 17: Open R lab.
  *   November 24: Open R lab.

Additional resources:

  *   A tentative schedule of upcoming workshops is also available at https://jcoliver.github.io/learn-r/schedule
  *   Want more help? Sign up for the UA Data Science Slack workspace at https://jcoliver.github.io/uadatascience-slack/
  *   Stay up to date with R workshops by signing up for the University of Arizona R Users mailing list at https://list.arizona.edu/sympa/subscribe/ruaz
  *   Find even more data science resources at the Data Science Institute's events page at https://datascience.arizona.edu/events


Cheers,

Jeff


Jeffrey C. Oliver, Ph.D (he/him/his)
Data Science Specialist
Office of Digital Innovation & Stewardship
University of Arizona
Tucson, AZ 85724-5079
GitHub jcoliver<https://github.com/jcoliver>
ORCID 0000-0003-2160-1086<https://orcid.org/0000-0003-2160-1086>
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