dtrackr: Track your Data Pipelines (original) (raw)
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  [aut, cre] |
| Maintainer: | Robert Challen <rob.challen at bristol.ac.uk> |
| BugReports: | https://github.com/terminological/dtrackr/issues |
| License: | MIT + file |
| 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 [issues need fixing before 2024-11-12] |
Documentation:
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