Archivist: An R package for managing, recording and restoring data analysis results

Journal of Statistical Software

Volumn 82, Issue , 2017, Pages 1-28

  Biecek, Przemysław ^a   Kosiński, Marcin ^b  

^a UNIVERSITY OF WARSAW   (Poland)

^b WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Data analysis management; Data gov ernance; Meta data; Recordable research; Reproducible research; Results management

Indexed keywords

EID: 85053879201     PISSN: 15487660     EISSN: None     Source Type: Journal    
DOI: 10.18637/jss.v082.i11     Document Type: Article

References (21)

1. Auguie B (2017). gridExtra: Miscellaneous Functions for grid Graphics. R package version 2.3, URL https://CRAN.R-project.org/package=gridExtra.
2. Bache SM, Wickham H (2014). magrittr: A Forward-Pipe Operator for R. R package version 1.5, URL https://CRAN.R-project.org/package=magrittr.
3. Bates D, Mächler M, Bolker B, Walker S (2015). “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software, 67(1), 1–48. doi:10.18637/jss.v067.i01.
4. Becker RA, Chambers JM (1988). “Auditing of Data Analyses.” SIAM Journal on Scientific and Statistical Computing, 9(4), 747–760. doi:10.1137/0909049.
5. Biecek P, Kosinski M (2017). archivist: An R Package for Managing, Recording and Restoring Data Analysis Results. R package version 2.2, URL https://CRAN.R-project.org/package=archivist.
6. Chambers JM (2016). Extending R. Chapman and Hall/CRC.
7. Chang W, Cheng J, Allaire JJ, Xie Y, McPherson J (2017). shiny: Web Application Frame-work for R. R package version 1.0.5, URL https://CRAN.R-project.org/package=shiny.
8. Drummond C (2009). “Replicability is Not Reproducibility: Nor is it Good Science.” In Proceedings of the Evaluation Methods for Machine Learning Workshop at the 26th ICML.
9. Koenker R, Zeileis A (2009). “On Reproducible Econometric Research.” Journal of Applied Econonometrics, 24(5), 833–847. doi:10.1002/jae.1083.
10. Kosinski M, Biecek P (2016). archivist.github: Tools for Archiving, Managing and Sharing R Objects via GitHub. R package version 0.2.2, URL https://CRAN.R-project.org/package=archivist.github.
11. Leisch F (2002). “Dynamic Generation of Statistical Reports Using Literate Data Analysis.” In W Härdle, B Rönz (eds.), Compstat 2002 – Proceedings in Computational Statistics, pp. 575–580. Physika-Verlag, Heidelberg. doi:10.1007/978-3-642-57489-4_89.
12. Lucas A, Eddelbuettel D (2017). digest: Create Cryptographic Hash Digests of R Objects. R package version 0.6.12, URL https://CRAN.R-project.org/package=digest.
13. OECD (2015). StatLink. The Organisation for Economic Co-Operation and Development.
14. Peng R (2009). “Reproducible Research and Biostatistics.” Biostatistics, 10(3), 405–408. doi:10.1093/biostatistics/kxp014.
15. R Core Team (2017). R: A Language and Environment for Statistical Computing. R Founda-tion for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
16. Rossini A, Leisch F (2003). “Literate Statistical Practice.” Working Paper 194.
17. Sculley D, Holt G, Golovin D, Davydov E, Phillips T, Ebner D, Chaudhary V, Young M (2014). “Machine Learning: The High Interest Credit Card of Technical Debt.” In SE4ML: Software Engineering for Machine Learning (NIPS 2014 Workshop). URL http://static. googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf.
18. Wickham H (2009). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, New York.
19. Wickham H, François R, Henry L, Müller K (2017). dplyr: A Grammar of Data Manipulation. R package version 0.7.4, URL https://CRAN.R-project.org/package=dplyr.
20. Xie Y (2013). Dynamic Documents with R and knitr. Chapman and Hall/CRC, Boca Raton.
21. Xie Y (2017). knitr: A General-Purpose Package for Dynamic Report Generation in R. CRAN. R package version 1.17, URL https://CRAN.R-project.org/package=knitr.