Dear Colleagues,
The Boston Chapter of ASA are excited to host the ASA Traveling Course: From R Markdown to Quarto this fall. This will be a one-day virtual event.
Title: From R Markdown to Quarto
Instructors: Andrew Bray, UC Berkeley, and Mine Çetinkaya-Rundel, Duke University and RStudio
Date: September 30, 2023
Time: 9:00AM – 3:00PM
Registration:
www.eventbrite.com/e/...
Course Abstract:
This workshop is designed for those who want to take their R Markdown skills and expertise and apply them in Quarto, the next generation of R Markdown. Quarto is an open-source scientific and technical publishing system that offers multilingual programming language support to create dynamic and static documents, books, presentations, blogs, and other online resources. In this workshop you will learn how to apply your reproducible authoring skills to the Quarto format and learn about new tools and workflows for authoring with Quarto in RStudio. You will learn to create static documents as well as slide presentations. The workshop will also introduce you to Quarto projects which you can use to build websites and write blogs and books. Finally, you will learn various ways to deploy and publish your Quarto projects on the web.
Course learning objectives:
● Explore the similarities and differences between R Markdown and Quarto as a framework for doing reproducible data analysis.
● Author documents that integrate R code with explanatory text and some advanced features useful for scientific manuscripts such as cross references and citations.
● Create slide presentations that utilize the dynamic functionality of revealjs.
● Build and publish a website to feature the documents and slide presentations that you have created.
Course outline:
1hr 15min - Hello Quarto
15min - break
1hr 15min - Documents
30min - break
1hr 15min - Presentations
15min - break
1hr 15min - Websites
About the Instructors:
Andrew Bray is an Associate Teaching Professor in the Department of Statistics at UC Berkeley where he develops and teaches courses in statistics and data science. His research interests include statistical computing, data privacy, and applications of statistical models to environmental science. He is one of the authors of the infer R package for resampling based inference and an enthusiastic user of all things R Markdown / Quarto.
Mine Çetinkaya-Rundel is Professor of the Practice at Duke University and Developer Educator at RStudio. Mine's work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. Mine is a Fellow of the ASA and Elected Member of the ISI as well as the winner of the 2021 Robert V. Hogg Award for For Excellence in Teaching Introductory Statistics.
We hope to see you there!
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Jianjun Hua
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