[cre, aut, cph],
Richard Peters
[ctb],
Christoforos Pappas
[ctb]Flexible and efficient cleaning of data with interactivity. 'datacleanr' facilitates best practices in data analyses and reproducibility with built-in features and by translating interactive/manual operations to code. The package is designed for interoperability, and so seamlessly fits into reproducible analyses pipelines in 'R'.
| Version: | 1.0.0 |
| Imports: | shiny, htmltools, summarytools, dplyr, rlang, DT, magrittr, plotly, grDevices, stats, purrr, glue, formatR, RColorBrewer, clipr, rstudioapi, utils, lubridate, shinyWidgets, htmlwidgets, tools, fs, shinyFiles |
| Suggests: | testthat (≥ 2.1.0) |
| Published: | 2020-11-02 |
| Author: | Alexander Hurley
[cre, aut, cph],
Richard Peters
[ctb],
Christoforos Pappas
[ctb] |
| Maintainer: | Alexander Hurley <agl.hurley at gmail.com> |
| BugReports: | https://github.com/the-Hull/datacleanr/issues |
| License: | GPL-3 |
| URL: | https://github.com/the-Hull/datacleanr |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | datacleanr results |
| Reference manual: | datacleanr.pdf |
| Package source: | datacleanr_1.0.0.tar.gz |
| Windows binaries: | r-devel: datacleanr_1.0.0.zip, r-release: datacleanr_1.0.0.zip, r-oldrel: datacleanr_1.0.0.zip |
| macOS binaries: | r-release: datacleanr_1.0.0.tgz, r-oldrel: datacleanr_1.0.0.tgz |
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