This is a prototype and subject to constant development
A technical communication document written using bookdown intended to give assistance to people developing a Reproducible Analytical Pipeline.
This document is intended to be RAP community maintained. If you discover any good resources associated with RAP, please contribute to the development of this book by forking and pulling on Github.
See the eesectorsmarkdown repository for an example of implementing RAP as an R package in the context of a Statistical First Release (SFR).
To complement this book, one of our RAP Champions has developed a Massive Online Open Course 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.
This is a community effort produced by those interested in automating the production of statistical reports in government. If you wish to contribute refer to the CONTRIBUTING.md.
Every GitHub repo comes with a page for tracking issues. Use it! If you encounter a bug while reviewing the RAP companion, jot a note down on the issues page.
Thanks to Dr Matthew Dray for converting the RAP logo into a hex sticker using the hexSticker pagkage. The warp pipe originates from Wikimedia.
RAP draws heavily on well-established software development best practices. We were introduced to these ideas through software carpentry and Hadley Wickham's R packages book.
