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 
[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:
Downloads:
Linking:
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https://CRAN.R-project.org/package=ggDoE
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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.