IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v032i07.html
   My bibliography  Save this article

Response-Surface Methods in R, Using rsm

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v032i07/v32i07.pdf
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v032i07/rsm_1.20.tar.gz
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v032i07/v32i07.R
    Download Restriction: no

    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v032.i07?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Silvan Feuerbach & Saqib Sohail Toor & Paula A. Costa & Filipe Paradela & Paula A.A.S. Marques & Daniele Castello, 2024. "Hydrothermal Co-Liquefaction of Food and Plastic Waste for Biocrude Production," Energies, MDPI, vol. 17(9), pages 1-17, April.
    12. 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.
    13. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jss:jstsof:v:032:i07. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.