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industRial: Data, Functions and Support Materials from the Book "industRial Data Science"

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

Documentation:

Reference manual: industRial.pdf

Downloads:

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

Linking:

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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.