The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Please use the canonical form https://CRAN.R-project.org/package=industRial to link to this page.
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.