Reproducible Research Tools

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:

  1. Gather - collect data
  2. Cook - alter raw data so that it is fit for analysis
  3. Analyze - construct models or other analysis
  4. Present - synthesize the analysis so that it may be presented to an end-user or decision maker
represtools::NewResearch("Baseball")
represtools::Gather("Hitters")
 
# write some code
 
represtools::Cook("Hitters")
 
# write some code
 
represtools::Analyze("Handedness")
 
# write some code
 
represtools::Present("Handedness", title = "On the quality of right-handed batters", output = "html")
 
# write some code
 
represtools::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/.

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Reference manual

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install.packages("represtools")

0.1.2 by Brian Fannin, a year ago


http://pirategrunt.com/represtools


Report a bug at https://github.com/PirateGrunt/represtools/issues


Browse source code at https://github.com/cran/represtools


Authors: Brian Fannin [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports whisker

Suggests testthat, knitr, rmarkdown

System requirements: GNU make


See at CRAN