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>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: ggDoE results


Reference manual: ggDoE.pdf
Vignettes: Overview of ggDoE


Package source: ggDoE_0.7.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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