Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Response-Surface Methods in R, Using rsm | Lenth | Journal of Statistical Software
Authors: Russell V. Lenth
Title: Response-Surface Methods in R, Using rsm
Abstract: This article describes the recent package rsm, which was designed to provide R support for standard response-surface methods. Functions are provided to generate central-composite and Box-Behnken designs. For analysis of the resulting data, the package provides for estimating the response surface, testing its lack of fit, displaying an ensemble of contour plots of the fitted surface, and doing follow-up analyses such as steepest ascent, canonical analysis, and ridge analysis. It also implements a coded-data structure to aid in this essential aspect of the methodology. The functions are designed in hopes of providing an intuitive and effective user interface. Potential exists for expanding the package in a variety of ways.

Page views:: 40874. Submitted: 2009-03-04. Published: 2009-10-21.
Paper: Response-Surface Methods in R, Using rsm     Download PDF (Downloads: 46280)
rsm_1.20.tar.gz: R source package Download (Downloads: 1310; 234KB)
v32i07.R: R example code from the paper Download (Downloads: 1406; 1KB)

DOI: 10.18637/jss.v032.i07

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.