Last updated: 2025-04-14

Checks: 2 0

Knit directory: analysis-user-group/

This reproducible R Markdown analysis was created with workflowr (version 1.7.1). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.


Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.

The results in this page were generated with repository version 5628c6d. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:


Ignored files:
    Ignored:    .DS_Store
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    Ignored:    analysis/.DS_Store
    Ignored:    analysis/.Rhistory
    Ignored:    analysis/adit/.DS_Store

Untracked files:
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Unstaged changes:
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Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


These are the previous versions of the repository in which changes were made to the R Markdown (analysis/index.Rmd) and HTML (docs/index.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

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Rmd 5628c6d DrThomasOneil 2025-04-14 wflow_publish("analysis/*.Rmd")
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Rmd 16ba857 DrThomasOneil 2025-03-16 upd
html b7982e9 DrThomasOneil 2025-03-16 Build site.
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Rmd b50c80e DrThomasOneil 2025-03-16 wflow_publish(c("analysis/*.Rmd"))
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Rmd c05aafe DrThomasOneil 2025-02-27 wflow_publish(c("analysis/*.Rmd"))
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Rmd 41492b9 DrThomasOneil 2025-02-24 wflow_publish(c("analysis/*.Rmd"))
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Rmd 756ebac DrThomasOneil 2025-02-20 wflow_publish(c("analysis/*.Rmd"))
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Rmd 272b312 DrThomasOneil 2025-01-28 wflow_publish(c("analysis/*"))
html 023005d DrThomasOneil 2025-01-07 Build site.
Rmd 0ecb65d DrThomasOneil 2025-01-07 Updated Getting Started in R. Chapter 1 completed
html c893d70 DrThomasOneil 2025-01-06 Build site.
html 660b0f8 DrThomasOneil 2025-01-06 Build site.
Rmd 7cb1531 DrThomasOneil 2025-01-06 Initial Deployment
html 2e79a1d DrThomasOneil 2025-01-06 Build site.
Rmd 451a21f DrThomasOneil 2025-01-06 Initial Deployment
Rmd f4d6dba DrThomasOneil 2025-01-04 r-tutorials
Rmd 2eeb8dc DrThomasOneil 2024-12-26 first draft
html 2eeb8dc DrThomasOneil 2024-12-26 first draft
Rmd b381b5b DrThomasOneil 2024-12-26 Start workflowr project.

Image

Digital Research Skills Network




Welcome

Welcome to the Workshop site for the Digital Research Skills Network! Whether you’re just starting out with R or looking to strengthen your skills, this site is designed to foster a digital community centered around biomedical research programmatic analysis.

Here, you’ll find:

  • Workshop schedules and announcements.
  • Step-by-step instructions for workshop activities.
  • Additional resources that might be of interest.

Workshop material will aim to use publicly available data or mock created data. Therefore, you will not need to rely on uploaded data from the demonstrators/creators. Instead, a pre-workshop set-ups will include instructions for where to download and prep relevant data.

Bookmark this site for quick access to scripts and updates as workshops progress.

Using this site

This site is organised into several sections to help you quickly find what you need:

  • Getting Started in R: A beginner-friendly guide to help you set up R and RStudio, along with key concepts and tips for coding.
  • Announcements: Updates on upcoming workshops, deadlines, and important notices.
  • Workshops: Detailed instructions, scripts, and examples for each workshop session.
  • Extra Resources: Links to helpful tutorials, data sets, and cheat sheets.
  • Contacts: Acknowledge who contributed to these workshops! :)

We are also always looking for feedback. Please reach out to myself or others.

You’ll also see graphics like this throughout that emphasis

Important information

Success

Warnings

Dangers

Goals to achieve in a session or workshop

Practice before moving on

Important Terminology

Special Thanks

There are a lot of extra people to thank for contributing, motivating and helping build this digital community and repository:

  • Oscar Dong
  • Yuchen Li
  • Elizabeth Dunn
  • Erin Coll
  • Heeva Baharlou
  • Farhan Ameen 🌟

This site was made with WorkflowR by Blischak JD, et al. 2019

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