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Response-Surface Methods in R, Using rsm

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  • Lenth, Russell V.

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.

Suggested Citation

  • Lenth, Russell V., 2009. "Response-Surface Methods in R, Using rsm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i07).
    • Handle: RePEc:jss:jstsof:v:032:i07
    DOI: http://hdl.handle.net/10.18637/jss.v032.i07
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    1. Fondevilla, Cristian & Àngels Colomer, M. & Fillat, Federico & Tappeiner, Ulrike, 2016. "Using a new PDP modelling approach for land-use and land-cover change predictions: A case study in the Stubai Valley (Central Alps)," Ecological Modelling, Elsevier, vol. 322(C), pages 101-114.
    2. Han-Jang No & Dai-Won Kim & Jung-Suk Yu, 2017. "Do Reserve Prices Yield Reference Price Effects in Korean Court Auctions of Residential Real Estate?," International Real Estate Review, Global Social Science Institute, vol. 20(1), pages 75-104.
    3. Angelina Roche, 2018. "Local optimization of black-box functions with high or infinite-dimensional inputs: application to nuclear safety," Computational Statistics, Springer, vol. 33(1), pages 467-485, March.
    4. Kshirsagar, Milind P. & Kalamkar, Vilas R., 2020. "Application of multi-response robust parameter design for performance optimization of a hybrid draft biomass cook stove," Renewable Energy, Elsevier, vol. 153(C), pages 1127-1139.
    5. Al-Mudhafar, Watheq J. & Rao, Dandina N & Srinivasan, Sanjay, 2019. "Advanced ML and AI Approaches for Proxy-based Optimization of CO2-Enhanced Oil Recovery in Heterogeneous Clastic Reservoirs," Earth Arxiv wsu6g, Center for Open Science.
    6. Gansterer, Margaretha & Almeder, Christian & Hartl, Richard F., 2014. "Simulation-based optimization methods for setting production planning parameters," International Journal of Production Economics, Elsevier, vol. 151(C), pages 206-213.
    7. Marina Corral Bobadilla & Rubén Lostado Lorza & Rubén Escribano García & Fátima Somovilla Gómez & Eliseo P. Vergara González, 2017. "An Improvement in Biodiesel Production from Waste Cooking Oil by Applying Thought Multi-Response Surface Methodology Using Desirability Functions," Energies, MDPI, vol. 10(1), pages 1-20, January.
    8. Xie, Yiwei & Hu, Pingfang & Zhu, Na & Lei, Fei & Xing, Lu & Xu, Linghong, 2020. "Collaborative optimization of ground source heat pump-radiant ceiling air conditioning system based on response surface method and NSGA-II," Renewable Energy, Elsevier, vol. 147(P1), pages 249-264.
    9. Grömping, Ulrike, 2014. "R Package FrF2 for Creating and Analyzing Fractional Factorial 2-Level Designs," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i01).
    10. Aoife L. McCarthy & Yvonne C. O'Callaghan & Nora M. O'Brien, 2013. "Protein Hydrolysates from Agricultural Crops—Bioactivity and Potential for Functional Food Development," Agriculture, MDPI, vol. 3(1), pages 1-19, February.
    11. L. Brilli & E. Lugato & M. Moriondo & B. Gioli & P. Toscano & A. Zaldei & L. Leolini & C. Cantini & G. Caruso & R. Gucci & P. Merante & C. Dibari & R. Ferrise & M. Bindi & S. Costafreda-Aumedes, 2019. "Carbon sequestration capacity and productivity responses of Mediterranean olive groves under future climates and management options," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(3), pages 467-491, March.
    12. Giulia Costa & Alessandra Polettini & Raffaella Pomi & Alessio Stramazzo & Daniela Zingaretti, 2017. "Energetic assessment of CO 2 sequestration through slurry carbonation of steel slag: a factorial study," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(3), pages 530-541, June.

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