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: 0.11.1 Depends: R (≥ 3.5.0) Imports: grDevices, stats, graphics, lattice, ggplot2, reshape2, nortest, e1071, scales, testthat, xtable Suggests: covr Published: 2023-08-22 DOI: 10.32614/CRAN.package.SixSigma Author: Emilio L. Cano [aut, cre], Javier M. Moguerza [aut], Mariano Prieto [aut], Andrés Redchuk [aut], Karl Tatgenhorst [ctb], Paula MartÃnez [ctb], Manuel Alfaro [ctb] Maintainer: Emilio L. Cano <emilio at lcano.com> BugReports: https://github.com/emilopezcano/SixSigma/issues/ License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://www.sixsigmawithr.com/, http://emilopezcano.github.io/SixSigma/, https://github.com/emilopezcano/SixSigma/ NeedsCompilation: no Citation: SixSigma citation info Materials: NEWS CRAN checks: SixSigma results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=SixSigma to link to this page.
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