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Companion package to the book "industRial data science", J.Ramalho (2021) <https://j-ramalho.github.io/industRial/>. Provides data sets and functions to complete the case studies and contains the book original Rmd files and tutorials.
Version: | 0.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | ggplot2, stats, dplyr, tidyr, magrittr, rlang, lattice, SixSigma |
Suggests: | glue, tibble, stringr, scales, purrr, janitor, patchwork, forcats, broom, viridis, learnr, DoE.base, qcc, car, qicharts2, rsm, ggforce, ggraph, tidygraph, igraph, bookdown, rmarkdown, knitr, agricolae, RcmdrMisc, gt, skimr, ggtext |
Published: | 2021-06-11 |
DOI: | 10.32614/CRAN.package.industRial |
Author: | Joao Ramalho [aut, cre] |
Maintainer: | Joao Ramalho <ramalho.joao at protonmail.com> |
BugReports: | https://github.com/J-Ramalho/industRial/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/J-Ramalho/industRial |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | industRial results |
Reference manual: | industRial.pdf |
Package source: | industRial_0.1.0.tar.gz |
Windows binaries: | r-devel: industRial_0.1.0.zip, r-release: industRial_0.1.0.zip, r-oldrel: industRial_0.1.0.zip |
macOS binaries: | r-release (arm64): industRial_0.1.0.tgz, r-oldrel (arm64): industRial_0.1.0.tgz, r-release (x86_64): industRial_0.1.0.tgz, r-oldrel (x86_64): industRial_0.1.0.tgz |
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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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