Reporting using R Markdown, Quarto & Shiny

2024_FS_RepRMarkShi
05.07.2024 - 12.07.2024
2 Tage
  • 05.07.2024, 09:00 - 17:00
  • 12.07.2024, 09:00 - 17:00
Beginn Anmeldefrist: 01.11.2023
Ende Anmeldefrist: 30.06.2024
ETH Zürich, Zentrum
6
16
Students enrolled in PSC PhD Programs: CHF 0
LSZGS PhD students: CHF 0
All others: CHF 300
ETH Zentrum, CLA J 1
R Markdown, Quarto and Shiny are powerful R tools for static and dynamic reports, publications and dashboards that can be created fully reproducible using a highly intuitive notebook interface. In this course, you will learn to create Markdown documents consisting of code, text and the YAML header. We will use CSS files to format our reports and look at further customizations like section headings, citations, cross-references, animations, interactive plots, tables, comments and many more. While the main focus of this course will be on R Markdown and Quarto, we also will introduce Shiny for interactive web applications, shinythemes and htmlwidgets – and last but not least learn how to embed Shiny into R Markdown and Quarto docs. Depending on the course progress, there will be scope for individuals to work on small projects and / or their own data sets. For more details see
Dr. Jan Wunder
1
PhD & Master Students
Postdocs if places available
Basic knowledge of R / attendance of the course “Introduction to R”
English
In order to obtain the credit points, participants are required to attend *both* course days and hand in an assignment to be carried out at home. The details will be explained during the course. The assignment is due no later than one week after the course has ended.

By registering you agree to the PSC course terms and conditions AGBs

Arrange cancellation with the PSC coordination office (psc_phdprogram@ethz.ch): Up to 2 weeks prior to course start without a fine.
Later cancellations and incomplete attendance without documented justification will incur a fee of 200 CHF.
Students are required to bring their own computers - if you have difficulties to organise a notebook from your research unit please get in contact with us (psc_phdprogram@ethz.ch). Please make sure that you install the most recent versions of R and RStudio.

Zurich-Basel Plant Science Center

Dr. Luisa Last (psc_phdprogram@ethz.ch)
FS24_RepR_MarkQuartShiny.pdf
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