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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
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

Documentation:

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

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dtrackr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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