Last updated: 2020-01-11

Checks: 2 0

Knit directory: reading_lists/

This reproducible R Markdown analysis was created with workflowr (version 1.6.0). 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 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:    .Rproj.user/

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
Rmd 1e095ce Matthew Stephens 2020-01-11 wflow_publish(“analysis/index.Rmd”)
html b15f10a Matthew Stephens 2020-01-11 Build site.
Rmd 9a2a6a9 Matthew Stephens 2020-01-11 wflow_publish(“analysis/index.Rmd”)
Rmd 4388658 Matthew Stephens 2020-01-11 Start workflowr project.

If you want to read about my recent and on-going research you have come to the right place!


I try to get all the students working with me to think about how to organize their work. If they work in R – and many of them do – then I ask them to use the R package workflowr to help them organize their work. If you want to work with me you should read Blischak et al which describes the ideas behind this package. Even if you do not use R, the ideas may help you develop your own workflow.


Here are reading lists on some topics of interest: