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 
[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 |
Documentation:
| Reference manual: | dtrackr.pdf |
| Vignettes: |
dtrackr - Consort statement example dtrackr - Configuration example dtrackr - Basic operations dtrackr - Joining data pipelines |
Downloads:
| Package source: | dtrackr_0.2.4.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 |
Linking:
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