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rsurface (version 1.1.0)

Design of Rotatable Central Composite Experiments and Response Surface Analysis

Description

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) 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) and Mead et al. (2012) among others.

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Install

install.packages('rsurface')

Monthly Downloads

171

Version

1.1.0

License

MIT + file LICENSE

Maintainer

Timothy Schwinghamer

Last Published

May 18th, 2018

Functions in rsurface (1.1.0)

ExampleData

Example data for the rsurface package
design_ccd

Defines a CCD for k quantitative factors
ccd_analysis

Response surface regression analysis of CCD data
rsurface

Functions for the design of CCD experiments and the analysis of CCD experimental data