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

DOI10.1080/10618600.2019.1585259OpenAlexW2964117315MaRDI QIDQ3391274

Michael Lawrence, Gabriel Becker, Sara E. Moore

Publication date: 28 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2019.1585259

zbMATH Keywords

provenancemetadatacomputingpublishing

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

trackr

Uses Software

• R
• lattice
• MASS (R)
• ggplot2
• Taverna
• WaveLab
• Sweave
• RStudio
• MEMSS
• knitr
• gridExtra
• dplyr
• shiny
• CodeDepends
• Plotly
• archivist
• rmarkdown
• switchr
• tidyverse
• switchrGist
• GRANBase
• fastdigest
• rocker
• mlmRev
• VisTrails
• rlang
• rsolr
• SpookyHash

Cites Work

• rlang
• Statistical Analysis of Financial Data in S-Plus
• Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis
• Auditing of Data Analyses
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