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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: | 1.0.3 |
Depends: | R (≥ 3.6) |
Imports: | shiny (≥ 1.5.0), htmltools (≥ 0.5), summarytools (≥ 0.9.6), dplyr (≥ 1.0.2), rlang (≥ 0.4.9), DT (≥ 0.16), magrittr (≥ 2.0.1), plotly (≥ 4.9.2.1), grDevices, stats, purrr (≥ 0.3.4), glue (≥ 1.4.2), formatR (≥ 1.7), RColorBrewer (≥ 1.1.2), clipr (≥ 0.7.1), rstudioapi (≥ 0.13), utils, lubridate (≥ 1.7.9.2), shinyWidgets (≥ 0.5.4), htmlwidgets (≥ 1.5.3), tools, fs (≥ 1.5.0), shinyFiles (≥ 0.8.0), bslib |
Suggests: | testthat (≥ 2.1.0) |
Published: | 2021-11-18 |
DOI: | 10.32614/CRAN.package.datacleanr |
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_1.0.3.tar.gz |
Windows binaries: | r-devel: datacleanr_1.0.3.zip, r-release: datacleanr_1.0.3.zip, r-oldrel: datacleanr_1.0.3.zip |
macOS binaries: | r-release (arm64): datacleanr_1.0.3.tgz, r-oldrel (arm64): datacleanr_1.0.3.tgz, r-release (x86_64): datacleanr_1.0.3.tgz, r-oldrel (x86_64): datacleanr_1.0.3.tgz |
Old sources: | datacleanr archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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