trackr: A Framework for Enhancing Discoverability and Reproducibility of Data Visualizations and Other Artifacts in R-Reference-Cited by-同舟云学术

trackr: A Framework for Enhancing Discoverability and Reproducibility of Data Visualizations and Other Artifacts in R

Published:2019-05-20 Issue:3 Volume:28 Page:644-658
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Becker Gabriel¹,Moore Sara E.²,Lawrence Michael¹

Affiliation:

1. Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, CA;

2. Department of Biostatistics, University of California, Berkeley, Berkeley, CA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://tandfonline.com/doi/pdf/10.1080/10618600.2019.1585259

Reference56 articles.

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2. Auguie, B. (2017), “gridExtra: Miscellaneous Functions for ‘Grid’ Graphics,” R Package Version 2.3, available at https://CRAN.R-project.org/package=gridExtra.

3. Bates, D., Maechler, M., and Bolker, B. (2014a), “MEMSS: Data Sets From Mixed-Effects Models in S,” R Package Version 0.9-2, available at https://CRAN.R-project.org/package=MEMSS.

4. Bates, D., Maechler, M., and Bolker, B. (2014b), “mlmRev: Examples From Multilevel Modelling Software Review,” R Package Version 1.0-6, available at {https://CRAN.R-project.org/package=mlmRev}.

5. Becker, G. (2014), “Dynamic Documents for Data Analytic Science,” PhD thesis, University of California, Davis.

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