[Plsgs] Fwd: R labs in September

[Mark A Beilstein]

*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>.

   - September 05: *Open R lab*: Bring your R questions or just come in to
   write some code.
   - September 12: *Introduction to R statistics*: This will be a
   novice-oriented workshop, providing an overview of reading data and writing
   output as well as running standard statistical tests in R, including
   t-tests, linear regression, and analysis of variance. Experienced learners
   are welcome to this workshop, too!
   - September 19: *Introduction to R graphing*: This hands-on workshop
   will demonstrate how to create a basic plot in R from a text file of data.
   This introduction provides an entry point for those unfamiliar with R (or a
   refresher for those who are rusty).
   - September 26: *Open R lab*.

Additional resources:

   - A tentative schedule of upcoming sessions 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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