-- data
-- docs
|__manuscript.Rmd
-- packrat
|__init.R
|__lib
|__lib-ext
|__lib-R
|__packrat.lock
|__packrat.opts
|__src
-- raw_data
|__iris.csv
-- README.md
-- scripts
-- test.Rproj
The following is a bulleted list of what we will do in the workshop.
- JC will create a GitHub repo on GitHub
- JC will clone the repo
- JC will run
startR::setup()
to create all files - JC will explain what files were created, show the structure of the repo and tell people to knit the Rmd file
- JC will then send the code to GH with the following:
git add -A
git commit -m "Added initial files to repo"
git push
- JC to show how these changes show up online
- JC adds Tracey as a collaborator
- Tracey accepts the invitation to collaborate
- Tracey now clones repo to her computer
- Tracey looks at the Rmd code and HTML document and identifies what might be a horrible mistake:
JC is fitting a linear model to three distinct groups. The overall trend is negative, but the individual trend is clearly positive. This needs to be fixed, this is where collaboration begins.
BEFORE you modify any code, you should check-in with the person who wrote the code.
- Tracey goes to GH repo and navigates to
docs/manuscript.Rmd
, then clicks on theBlame
button to see the story of the file. She confirms that the only person that has modified the file is JC.
- Tracey explains what a GitHub issue is, and the three key components of one:
- A good title
- Mention someone
- Description of the problem
- If possible, a reference to the code
- Tracey navigates back to
docs/manuscript.Rmd
, down to L50 where the code chunk begins and copies the URL. She then enters the following information on the GitHub issue:
Title: "Simpson's paradox in regression?" Description: "@jcvdav: Looks like there might be a problem in estimating the relationship. The figure created in the chunk code begining in L50 each species shows a clear positive trend. Perhaps we should fit three distinct lines?"
- Tracey files GH issue
- JC reviews the issue he just received in his email (Slack is useful too)
- The issue is quite clear, but JC doesn't have time to fix it because he's about to go to the field and collect more data.
- JC answers to the issue with a possible fix, and assigns it to tracey.
The possible fix reads:
Looks like the call to
geom_point(mapping = aes(color = Species)) +
should me moved to the call ofaes()
inggplot()
so that the aesthetics are propagated down to all geoms, not justgeom_point()
.
- JC creates a GH project
- JC shows how to add issues to a project
- JC creates two new GH issues:
- Add new data
- Update code to load new data
- JC shows that the issues are autmatically added to the project
- While JC's on the field, Tracey modifies the code
- Tracey re-renders the document, everything looks fine, update repo:
git add -A
git commit -m "Fixed Simpson's paradox: close #1"
git push
- While on the field, without internet, JC kept working on the project
- He added data on new species (
startR::new_iris()
) - He extended the introduction
by: Tracey, JC