[Plantsci] FW: R labs in April

[Lambert, Georgina M - (glambert)]

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All sessions will be 9-11 am on Tuesday in the iSpace in the Science-Engineering Library<http://new.library.arizona.edu/ispace>. 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>.

  *
  *   March 26: Open R lab: Bring your R questions or just come in to write some code and enjoy coffee and pastries.
  *
  *   April 02: Introduction to Functional Programming: The DRY<https://en.wikipedia.org/wiki/Don%27t_repeat_yourself> principle aims to reduce repetition in software engineering. By writing and using functions to accomplish a set of instructions multiple times, you reduce the opportunities for mistakes and often improve performance of the code you write. Functional programming makes it easy to apply the same analyses to different sets of data, without excessive copy-paste-update cycles that can introduce hard-to-detect errors.
  *   April 09: Open R lab.
  *   April 16: Introduction to Machine Learning in R with caret: During this workshop we'll work on a classification problem using the caret package in R to learn how to partition and pre-process data, perform algorithm selection, and tune and compare models. Workshop attendees should have a beginner to intermediate-level proficiency with R, and should come with R and RStudio installed, as well as the caret and tidyverse packages (and dependencies) installed.
  *   April 23: Open R lab.
  *   April 30: 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 by signing up for the Data Science Events list at: https://list.arizona.edu/sympa/info/data7-events


Cheers,

Jeff

Jeffrey C. Oliver, Ph.D
Data Science Specialist
Office of Digital Innovation & Stewardship
University of Arizona
Tucson, AZ 85724-5079
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