rsurface: Design of Rotatable Central Composite Experiments and Response
Surface Analysis
Produces tables with the level of replication (number of replicates) and the
experimental uncoded values of the quantitative factors to be used for rotatable Central
Composite Design (CCD) experimentation and a 2-D contour plot of the corresponding
variance of the predicted response according to
Mead et al. (2012) <doi:10.1017/CBO9781139020879> design_ccd(), and analyzes
CCD data with response surface methodology ccd_analysis(). A rotatable CCD
provides values of the variance of the predicted response that are concentrically
distributed around the average treatment combination used in the experimentation, which
with uniform precision (implied by the use of several replicates at the average
treatment combination) improves greatly the search and finding of an optimum response.
These properties of a rotatable CCD represent undeniable advantages over the classical
factorial design, as discussed by Panneton et al. (1999) <doi:10.13031/2013.13267> and
Mead et al. (2012) <doi:10.1017/CBO9781139020879.018> among others.
| Version: |
1.1.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
grDevices, plotly, rsm, stats |
| Published: |
2018-05-18 |
| Author: |
Timothy Schwinghamer [aut, cre],
Dutilleul Pierre [aut, cph] |
| Maintainer: |
Timothy Schwinghamer <timothy.schwinghamer at mail.mcgill.ca> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| In views: |
ExperimentalDesign |
| CRAN checks: |
rsurface results |
Documentation:
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