The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
DOI: 10.32614/CRAN.package.rsurface
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:

Reference manual: rsurface.pdf

Downloads:

Package source: rsurface_1.1.0.tar.gz
Windows binaries: r-devel: rsurface_1.1.0.zip, r-release: rsurface_1.1.0.zip, r-oldrel: rsurface_1.1.0.zip
macOS binaries: r-release (arm64): rsurface_1.1.0.tgz, r-oldrel (arm64): rsurface_1.1.0.tgz, r-release (x86_64): rsurface_1.1.0.tgz, r-oldrel (x86_64): rsurface_1.1.0.tgz
Old sources: rsurface archive

Linking:

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