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: 0.4.6 Depends: R (≥ 2.10) Imports: dplyr (≥ 1.1.0), glue, htmltools, magrittr, rlang, rsvg, stringr, tibble, tidyr, utils, V8, fs, purrr, base64enc, pdftools, png, lifecycle Suggests: spelling, here, knitr, rmarkdown, tidyselect, devtools, testthat (≥ 2.1.0), rstudioapi, survival, ggplot2, covr Published: 2024-10-21 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 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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