Last updated: 2019-04-10
Checks: 2 0
Knit directory: rrresearch/
This reproducible R Markdown analysis was created with workflowr (version 1.2.0). The Report 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 version displayed above was the version of the Git repository at the time these results were generated.
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
Ignored: .Rhistory
Ignored: .Rproj.user/
Ignored: analysis/.DS_Store
Ignored: analysis/assets/
Ignored: assets/
Ignored: data/metadata/
Ignored: data/raw/
Ignored: demos/demo-rmd-0_files/
Ignored: demos/demo-rmd-1_files/
Ignored: demos/demo-rmd_files/
Ignored: docs/.DS_Store
Ignored: docs/assets/.DS_Store
Ignored: docs/assets/img/.DS_Store
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Ignored: docs/figure/10_compendium.Rmd/
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Ignored: install.R
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Untracked files:
Untracked: analysis/09_pkg_functions.Rmd
Untracked: analysis/10_compendium.Rmd
Untracked: slides/11_outro.Rmd
Unstaged changes:
Deleted: analysis/10_pkg_functions.Rmd
Modified: analysis/_site.yml
Deleted: analysis/outro.Rmd
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 R Markdown and HTML files. If you’ve configured a remote Git repository (see ?wflow_git_remote
), click on the hyperlinks in the table below to view them.
File | Version | Author | Date | Message |
---|---|---|---|---|
html | 3bf423c | Anna Krystalli | 2019-04-10 | add setup |
html | f001244 | Anna Krystalli | 2019-04-09 | correct right navbar icon |
html | 0e2d0ed | Anna Krystalli | 2019-04-09 | add icons to navbar |
html | 3339a89 | Anna Krystalli | 2019-04-09 | update navbar in docs |
Rmd | 644a8fd | Anna Krystalli | 2019-04-09 | update about |
html | cd7663f | Anna Krystalli | 2019-04-09 | update site yml |
html | 74ffa63 | Anna Krystalli | 2019-04-09 | commit site |
Rmd | 2462ad6 | Anna Krystalli | 2019-02-16 | Start workflowr project. |
This course is funded by NERC through the ACCE Doctoral Partnership program
It started in 2015 by Dr. Tom Webb & Dr. Anna Krystalli from the University of Sheffield and has been continued since 2016 by Anna Krystalli.
Since then it has gone from a one day course on Data management to a two day course, encompassing project management, version control and literate programming. It is aimed at preparing first year PhD students for managing their research code and data successfully, in line with shifting expectations on reproducibility, interoperability, accessibility and archiving of research materials.