Menu
Log in


CPD 183- Quarto for Scientists presented by Nick Tierney

  • 28 Jun 2024
  • 1:30 PM - 5:00 PM
  • Online
  • 4

Registration


Registration is closed

The Statistical Computing and Data Visualisation Section is now offering tutorials.

 Quarto for Scientists presented by Nick Tierney.

This is a course on how to use quarto, with the target audience being for scientists. This was first developed as a short workshop on rmarkdown, as the book "rmarkdown for scientists". The general structure will be the same, and it will grow and change over time as a living book.

Structure of the workshop

This online book covers more content than the workshop. Here's an example structure of a 3.5 hour course.

time topic
1:00-1:20 Get started with your own quarto document
1:20-1:40 Workflow when using quarto documents and projects
1:40-2:00 Exporting quarto documents to PDF, HTML, and Microsoft Word
2:00-2:30 Managing captions, figures, tables
2:30-3:00 BREAK
3:00-3:30 Managing equations and bibliographies
3:30-4:00 How to debug and handle common errors
3:45-4:30 Free time for discussion around aother quarto formats: websites, blogs, slides, and more!

Learning outcomes

After completing this course, you will know how to:

  • Create your own quarto document
  • Create figures and tables that you can reference in text, and update with - your data
  • Export your quarto document to PDF, HTML, and Microsoft Word
  • Use keyboard shortcuts to improve workflow
  • Cite research articles and generate a bibliography

We may, depending on time, also cover the following areas:

  • Change the size and type of your figures
  • Create captions for your figures, and reference them in text
  • Cite research articles and generate a bibliography
  • Debug and handle common errors

Getting Started

See the installation chapter for details on software to be installed.

Some working materials will be made available at https://github.com/njtierney/qmd4sci-materials closer to the course date

Book

Book aims

This book aims to teach the following:

  • Getting started with your own quarto document
    • Using Rstudio
    • Visual Studio Code
  • Improve workflow:
    • RStudio
      • Demonstrate rstudio projects
      • Using keyboard shortcuts
    • Quarto projects
  • Export your quarto documents to PDF, HTML, and Microsoft Word
  • Better manage figures and tables
    • Reference figures and tables in text so that they dynamically update
    • Create captions for figures and tables
    • Change the size and type of figures
    • Save the figures to disk when rendering a document
  • Work with equations
    • Inline and display
    • Caption equations
    • Reference equations
  • Manage bibliographies
    • Cite articles in text
    • Generate bibliographies
    • Change bibliography styles
  • Debug and handle common errors with quarto
  • Next steps in working with quarto:
    • How to extend yourself to other formats, such as slides, websites, books, and more

Abstract aka "why should you read this"

For a scientific report to be completely credible, it must be reproducible. The full computational environment used to derive the results, including the data and code used for statistical analysis should be available for others to reproduce.

Quarto is a tool that allows you integrate your code, text and figures in a single file in order to make high quality, reproducible reports. A paper published with an included quarto file and data sets can (in principle) be reproduced by anyone with a computer.

License

Creative Commons License
This work is licensed under a
 Creative Commons Attribution-NonCommercial 4.0 International License.


Cancellation Policy

Occasionally courses have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.

Cancellations received prior to two weeks before the event will be refunded, minus a $25 administration fee. From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

For any questions, please email events@statsoc.org.au


Powered by Wild Apricot Membership Software