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rsurface  

Design of Rotatable Central Composite Experiments and Response Surface Analysis
View on CRAN: Click here


Download and install rsurface package within the R console
Install from CRAN:
install.packages("rsurface")

Install from Github:
library("remotes")
install_github("cran/rsurface")

Install by package version:
library("remotes")
install_version("rsurface", "1.1.0")



Attach the package and use:
library("rsurface")
Maintained by
Timothy Schwinghamer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-26
Latest Update: 2018-05-18
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.
How to cite:
Timothy Schwinghamer (2017). rsurface: Design of Rotatable Central Composite Experiments and Response Surface Analysis. R package version 1.1.0, https://cran.r-project.org/web/packages/rsurface. Accessed 21 Dec. 2024.
Previous versions and publish date:
1.0.2 (2017-09-26 20:36)
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Complete documentation for rsurface
Functions, R codes and Examples using the rsurface R package
Some associated functions: ExampleData . ccd_analysis . design_ccd . rsurface . 
Some associated R codes: ExampleData.R . ccd_analysis.R . design_ccd.R . rsurface.R .  Full rsurface package functions and examples
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