Lightweight Reproducible Reporting

Order, create and store reports from R. By defining a lightweight interface around the inputs and outputs of an analysis, a lot of the repetitive work for reproducible research can be automated. We define a simple format for organising and describing work that facilitates collaborative reproducible research and acknowledges that all analyses are run multiple times over their lifespans.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("orderly")

1.0.2 by Rich FitzJohn, 2 months ago


https://github.com/vimc/orderly


Report a bug at https://github.com/vimc/orderly/issues


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


Authors: Rich FitzJohn [aut, cre] , Robert Ashton [aut] , Alex Hill [aut] , Martin Eden [aut] , Wes Hinsley [aut] , Emma Russell [aut] , James Thompson [aut] , Imperial College of Science , Technology and Medicine [cph]


Documentation:   PDF Manual  


Task views: Reproducible Research


MIT + file LICENSE license


Imports DBI, R6, RSQLite, digest, docopt, fs, ids, withr, yaml, zip

Suggests httr, jsonlite, knitr, mockery, processx, rmarkdown, testthat, vaultr

System requirements: git


See at CRAN