[Plsgs] FW: R labs in April

[Armendariz, Amanda - (amandao)]

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All sessions will be 9-11 am (MST) on Tuesday. Sessions will be offered in hybrid format: we will be in the Data Studios of the Main Library<https://new.library.arizona.edu/visit/spaces/data-studio> and running a concurrent Zoom session 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>.

  *   April 04: Open R lab: Bring your R questions or just come in to write some code.
  *   April 11: Interactive web apps with Shiny: The Shiny package for R provides a way to transform your R code into interactive applications accessible through a web browser. This lesson provides a hands-on example of how you can use Shiny to create intuitive graphical user interfaces.
  *   April 18: Open R lab.
  *   April 25: Your first species distribution model: Predicting ranges of species from latitude and longitude coordinates has become increasingly easier with a suite of R packages. This introductory tutorial will show you how to turn your coordinate data into a range map.

Additional resources:

  *   A tentative schedule of upcoming workshops is also available at https://jcoliver.github.io/learn-r/schedule
  *   Even more data science events can be found on the Data Science Institute's events calendar at https://datascience.arizona.edu/calendar
  *   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
  *   If you cannot make it to the R session or just want more R, check out former Data Science Ambassador<http://datascience.arizona.edu/ambassadors> Kelsey Gonzalez's lessons on YouTube at https://www.youtube.com/playlist?list=PL6FsZxVq54ERrlMRNE5aq2qUFH042fbuM.


Cheers,

Jeff


Jeffrey C. Oliver, Ph.D (he/him/his)
Data Science Specialist
Data Cooperative<https://data.library.arizona.edu/>
Research Engagement, University Libraries
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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