The SCV and the QLD branch present Quarto for Scientists presented by Nick Tierney.
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.
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
- Practice the skill of making "getting unstuck" in R, a very useful core skill
Presenter Bio:
Dr. Nicholas (Nick) Tierney is a statistician, data scientist, and research software engineer with a PhD in Statistics and a Bachelor's in Psychological Science. He recently transitioned to private consulting, offering services in data analytics, modelling, code review, R package development, teaching, and mentoring.
Currently, Nick works part-time with Prof. Nick Golding at The Kids Research Institute Australia, maintaining the greta R package for statistical modelling. Previously, he was a Research Fellow and Lecturer in Business Analytics at Monash University (2017-2020), collaborating with Professor Dianne Cook.
Nick is a passionate advocate for open-source software, having developed numerous R packages that improve data analysis workflows. His notable packages include geotarget (geospatial pipelines) visdat (pre exploratory data visualization), naniar (missing data analysis), brolgar (longitudinal data exploration), optimisation (maxcovr), Bayesian Data Analysis, and MCMC diagnostics (mmcc.
An outdoor enthusiast, Nick hiked the entire Pacific Crest Trail in 2023, completing a 5-month journey from Mexico to Canada. His personal blog at njt.micro.blog documents this adventure.
Cancellation Policy:
Occasionally workshops 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 the Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20.
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
@StatSocAus
