• Reproducible projects are good projects, and are probably designed well. Reproducibility is thus an objective of good projects.
• Tools such as git, GNU make, renv assist in reproducibility, and induce ideas of intentionality, codification, and explicitness naturally -- just by using them.
• These ideas are fundamental to good project design, and reproducibility.

The presentation is located in the compiled branch. If you clone this repo with no intention to run through the make example and just want to see the outputs, switch to that branch after cloning:

git clone https://github.com/awong234/proj-org-R-meetup-20191211.git
git checkout compiled

This presentation is fully reproducible (or ought to be!)

It uses a combination of git, make, and renv to bootstrap packages and create all the outputs defined in the makefile.

There also is a little example analysis to demonstrate the ideas behind make.

1. Census data were obtained regarding citizen voting proportions for presidential elections ( scripts/import_voting_rate_data.R )
2. The data are in a .xlsx format, and so some transformations need to be done to get it into a usable flat format (scripts/transform.R).
3. Some regressions are performed on the data (scripts/analyze.R)
4. The model results are formatted with brief commentary in R Markdown into a report.
5. The presentation is compiled from and Rmd file (pres/aw-project-organization-201912.Rmd), depending on a ggplot graphic created in the img/ folder (img/proj-graphic.R)

View the presentation through any browser with the HTML file in pres/aw-project-organization-201912.html once compiled, or directly in the compiled branch.

From the master branch, run the following:

./projinit.sh
make all

./projinit.sh will make a bunch of folders (if they don't exist), and it will call renv::restore() to get all of the packages in order.

make all will run through the data loading through the transformations, analyses, reports, and finally will build the presentation given at the Cleveland R Meetup (2019-12-11).