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industRial: Data, Functions and Support Materials from the Book "industRialData 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.html ,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:

Please use the canonical formhttps://CRAN.R-project.org/package=industRialto link to this page.


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