SixSigma: Six Sigma Tools for Quality Control and Improvement

Functions and utilities to perform Statistical Analyses in the Six Sigma way. Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control), you can manage several Quality Management studies: Gage R&R, Capability Analysis, Control Charts, Loss Function Analysis, etc. Data frames used in the books "Six Sigma with R" [ISBN 978-1-4614-3652-2] and "Quality Control with R" [ISBN 978-3-319-24046-6], are also included in the package.

Version: 0.10.3
Depends: R (≥ 3.5.0)
Imports: grDevices, stats, graphics, lattice, ggplot2, reshape2, nortest, e1071, scales, testthat, xtable
Published: 2021-08-20
Author: Emilio L. Cano ORCID iD [aut, cre], Javier M. Moguerza [aut], Mariano Prieto [aut], Andrés Redchuk [aut], Manuel Alfaro [ctb]
Maintainer: Emilio L. Cano <emilio at lcano.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.sixsigmawithr.com
NeedsCompilation: no
Citation: SixSigma citation info
Materials: NEWS
CRAN checks: SixSigma results

Downloads:

Reference manual: SixSigma.pdf
Vignettes: HelicopterInstructions
Shewhart Constants
Package source: SixSigma_0.10.3.tar.gz
Windows binaries: r-devel: SixSigma_0.10.3.zip, r-release: SixSigma_0.10.3.zip, r-oldrel: SixSigma_0.10.3.zip
macOS binaries: r-release (arm64): SixSigma_0.10.3.tgz, r-release (x86_64): SixSigma_0.10.3.tgz, r-oldrel: SixSigma_0.10.3.tgz
Old sources: SixSigma archive

Reverse dependencies:

Reverse imports: industRial

Linking:

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