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This repository has been archived by the owner on Apr 7, 2022. It is now read-only.
The [Reproducible Analytical Pipeline (RAP)](https://gdsdata.blog.gov.uk/2017/03/27/reproducible-analytical-pipeline/) is an alternative production methodology for automating the bulk of steps involved in creating a statistical report.
The production of a RAP is not a trivial task given technical, time and knowledge limitations within teams who desire to replace traditional and semi-manual methods of statistical report production. We address some of the common knowledge gaps and hard-to-Google problems that upcoming RAP-pers face.
This [bookdown](https://bookdown.org/yihui/bookdown/) manual uses the *eesectors* package to help elucidate the RAP development process. It attempts to amalgamate the learnings of the early pioneers of RAP into a maintained tome of knowledge to ensure good practice is accessible for RAP newbies.
To complement this book, one of our RAPpers has developed a [Massive Online Open Course](https://www.udemy.com/reproducible-analytical-pipelines/) to share an approach to learning this technical skill-set. This course is an informal introduction and describes the best practices through the use of screencasts and assignments. It is currently available on Udemy and takes you through the RAP journey using a simple RAP example.