dtrackr: Track your Data Pipelines

Track and document 'dplyr' data pipelines. As you filter, mutate, and join your way through a data set, 'dtrackr' seamlessly keeps track of your data flow and makes publication ready documentation of a data pipeline simple.

Version: 0.4.4
Depends: R (≥ 2.10)
Imports: dplyr (≥ 1.1.0), glue, htmltools, magrittr, rlang, rsvg, stringr, tibble, tidyr, utils, V8, fs, purrr, base64enc, pdftools, png
Suggests: here, knitr, rmarkdown, tidyselect, devtools, testthat (≥ 2.1.0), rstudioapi, survival, ggplot2, covr
Published: 2023-09-04
DOI: 10.32614/CRAN.package.dtrackr
Author: Robert Challen ORCID iD [aut, cre]
Maintainer: Robert Challen <rob.challen at bristol.ac.uk>
BugReports: https://github.com/terminological/dtrackr/issues
License: MIT + file LICENSE
URL: https://terminological.github.io/dtrackr/index.html, https://github.com/terminological/dtrackr
NeedsCompilation: no
Language: en-GB
Citation: dtrackr citation info
Materials: README NEWS
CRAN checks: dtrackr results


Reference manual: dtrackr.pdf
Vignettes: dtrackr - Consort statement example
dtrackr - Configuration example
dtrackr - Basic operations
dtrackr - Joining data pipelines


Package source: dtrackr_0.4.4.tar.gz
Windows binaries: r-devel: dtrackr_0.4.4.zip, r-release: dtrackr_0.4.4.zip, r-oldrel: dtrackr_0.4.4.zip
macOS binaries: r-release (arm64): dtrackr_0.4.4.tgz, r-oldrel (arm64): dtrackr_0.4.4.tgz, r-release (x86_64): dtrackr_0.4.4.tgz, r-oldrel (x86_64): dtrackr_0.4.4.tgz
Old sources: dtrackr archive


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