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: 0.7.8
Depends: R (≥ 3.3.0)
Imports: ggplot2, data.table, insight
Suggests: knitr, rmarkdown, roxygen2, tibble, MASS, viridisLite, ggrepel, gridExtra, unrepx, metR, rsm, lhs
Published: 2022-08-23
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
Vignettes: Overview of ggDoE

Downloads:

Package source: ggDoE_0.7.8.tar.gz
Windows binaries: r-devel: ggDoE_0.7.8.zip, r-release: ggDoE_0.7.8.zip, r-oldrel: ggDoE_0.7.8.zip
macOS binaries: r-release (arm64): ggDoE_0.7.8.tgz, r-oldrel (arm64): ggDoE_0.7.8.tgz, r-release (x86_64): ggDoE_0.7.8.tgz, r-oldrel (x86_64): ggDoE_0.7.8.tgz

Linking:

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