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ggDoE: Modern Graphs for Design of Experiments with 'ggplot2'

Generate commonly used plots in the field of design of experiments using 'ggplot2'. 'ggDoE' currently supports the following plots: alias matrix, box cox transformation, boxplots, lambda plot, regression diagnostic plots, half normal plots, main and interaction effect plots for factorial designs, contour plots for response surface methodology, Pareto plot, and two dimensional projections of a latin hypercube design.

Version: 0.8
Depends: R (≥ 3.7.0)
Imports: ggplot2 (≥ 3.4.0), insight (≥ 0.19.5)
Suggests: roxygen2, tibble, MASS, viridisLite, ggrepel, patchwork, unrepx, geomtextpath, rsm, lhs, DoE.base
Published: 2024-02-10
DOI: 10.32614/CRAN.package.ggDoE
Author: Jose Toledo Luna ORCID iD [aut, cre]
Maintainer: Jose Toledo Luna <toledo60 at protonmail.com>
BugReports: https://github.com/toledo60/ggDoE/issues
License: MIT + file LICENSE
URL: https://ggdoe.netlify.app
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: ggDoE results

Documentation:

Reference manual: ggDoE.pdf

Downloads:

Package source: ggDoE_0.8.tar.gz
Windows binaries: r-devel: ggDoE_0.8.zip, r-release: ggDoE_0.8.zip, r-oldrel: ggDoE_0.8.zip
macOS binaries: r-release (arm64): ggDoE_0.8.tgz, r-oldrel (arm64): ggDoE_0.8.tgz, r-release (x86_64): ggDoE_0.8.tgz, r-oldrel (x86_64): ggDoE_0.8.tgz
Old sources: ggDoE archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggDoE 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.
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