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 [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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