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: 0.2.4
Depends: R (≥ 2.10)
Imports: dplyr, glue, htmltools, magrittr, rlang, rsvg, stringr, tibble, tidyr, utils, V8, fs, purrr, base64enc
Suggests: here, knitr, magick, rmarkdown, staplr, tidyverse, devtools, testthat (≥ 2.1.0), rstudioapi
Published: 2022-07-05
Author: Robert Challen ORCID iD [aut, cre]
Maintainer: Robert Challen <rc538 at exeter.ac.uk>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-GB
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_0.2.4.tar.gz
Windows binaries: r-devel: dtrackr_0.2.4.zip, r-release: dtrackr_0.2.4.zip, r-oldrel: dtrackr_0.2.4.zip
macOS binaries: r-release (arm64): dtrackr_0.2.4.tgz, r-oldrel (arm64): dtrackr_0.2.4.tgz, r-release (x86_64): dtrackr_0.2.4.tgz, r-oldrel (x86_64): dtrackr_0.2.4.tgz


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