A set of tools for datasets and plots archiving
Everything that exists in R is an object.
archivist is an R package that stores copies of all objects along with their metadata. It helps to manage and recreate objects with final or partial results from data analysis.
Use the archivist to record every result, to share these results with future you or with others, to search through repository of objects created in the past but needed now.
Installation
To get started, install the latest version of archivist from CRAN:
install.packages("archivist")
or from GitHub:
devtools::install_github("pbiecek/archivist")
Cheatsheet
Citation
To cite the archivist in publications please use:
Biecek P and Kosinski M (2017). “archivist: An R Package for Managing,
Recording and Restoring Data Analysis Results.” _Journal of Statistical
Software_, *82*(11), pp. 1-28. doi: 10.18637/jss.v082.i11 (URL:
http://doi.org/10.18637/jss.v082.i11).
A BibTeX entry for LaTeX users is
@Article{,
title = {{archivist}: An {R} Package for Managing, Recording and Restoring Data Analysis Results},
author = {Przemyslaw Biecek and Marcin Kosinski},
journal = {Journal of Statistical Software},
year = {2017},
volume = {82},
number = {11},
pages = {1--28},
doi = {10.18637/jss.v082.i11},
}
Misc
Project is supported by Travis CI and waffle.io.
The list of available functions:
help(package="archivist")
The list of use-cases: is available on archivist webpage http://pbiecek.github.io/archivist/
Authors of the project:
Przemysław Biecek, przemyslaw.biecek@gmail.com
Marcin Kosiński, m.p.kosinski@gmail.com
Witold Chodor, witoldchodor@gmail.com

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.





