Reproducible research tools automates the creation of an analysis directory structure and work flow. There are R markdown skeletons which encapsulate typical analytic work flow steps. Functions will create appropriate modules which may pass data from one step to another.
Basic utility functions to support reproducible research. Based on ideas published by Christopher Gandrud. This package relies on four stages of data analysis:
represtools::NewResearch("Baseball")represtools::Gather("Hitters")# write some codereprestools::Cook("Hitters")# write some codereprestools::Analyze("Handedness")# write some codereprestools::Present("Handedness", title = "On the quality of right-handed batters", output = "html")# write some codereprestools::Make()
This workflow ensures that anything which changes at an earlier stage of the process must force reconstruction of later stages.
More information is available here: http://pirategrunt.com/represtools/.