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A collection of scripts and data files for the statistics text: "Process Improvement using Data" <https://learnche.org/pid> and the online course "Experimentation for Improvement" found on Coursera. The package contains code for designed experiments, data sets and other convenience functions used in the book.
| Version: | 0.50 |
| Imports: | ggplot2, stats, png, FrF2, DoE.base, FrF2.catlg128 |
| Suggests: | MASS |
| Published: | 2018-11-23 |
| DOI: | 10.32614/CRAN.package.pid |
| Author: | Kevin Dunn [aut, cre] |
| Maintainer: | Kevin Dunn <kgdunn at gmail.com> |
| BugReports: | https://bitbucket.org/kevindunn/r-pid |
| License: | BSD_2_clause + file LICENSE |
| URL: | https://learnche.org/pid |
| NeedsCompilation: | no |
| In views: | ExperimentalDesign |
| CRAN checks: | pid results |
| Reference manual: | pid.pdf |
| Package source: | pid_0.50.tar.gz |
| Windows binaries: | r-devel: pid_0.50.zip, r-release: pid_0.50.zip, r-oldrel: pid_0.50.zip |
| macOS binaries: | r-release (arm64): pid_0.50.tgz, r-oldrel (arm64): pid_0.50.tgz, r-release (x86_64): pid_0.50.tgz, r-oldrel (x86_64): pid_0.50.tgz |
| Old sources: | pid 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.