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Algebraic Modeling Systems pp 171–183Cite as

Data Preparation for Optimization with R

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Part of the book series: Applied Optimization ((APOP,volume 104))

Abstract

This chapter deals with GNU R as a tool for data preparation in optimization modeling. For statistical applications R is a widely used tool including a rich variety of different techniques and procedures. Due to the excellent features for data handling and manipulation R is highly recommendable also for other fields of application with extensive requirements in data processing. The preparation of optimization data in an industrial environment is one of these fields.

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References

  1. Chambers, J.: Software for Data Analysis, Programming with R. Springer, New York (2008)

    Book  Google Scholar 

  2. Venables, W.N., Ripley, B.D.: Modern Applied Statistics with S. 4th Edition, Springer, New York (2002)

    Book  Google Scholar 

  3. Phil Spector: Data Manipulation with R. Springer, Carey, NC (2008)

    Google Scholar 

  4. Adler, J.: R in a Nutshell. O’Reilly, Sebastopol, CA, (2010)

    Google Scholar 

  5. Leisch, F.: Sweave: Dynamic generation of statistical reports using literate data analysis. In: Wolfgang Hr̈dle and Bernd Rnz, editors, Compstat 2002—Proceedings in Computational Statistics, 575–580. Physica, Heidelberg (2002)

    Google Scholar 

  6. R Data Import and Export Manual. http://cran.r-project.org/

  7. ACM Press Release, March 23, 1999, New York http://www.acm.org/announceme-nts/ss99.html

  8. Informational R Web Site. http://www.r-project.org/

  9. The Comprehensive R Archive Network (CRAN). ://cran.r-project.org/

  10. Luangkesorn, L.: Introduction to R-GLPK. Repository CRAN, October 12, 2006, http://www.cran.r-project.org/

  11. Lee, L., Luangkesorn, L.: Reference manual of Package ‘glpk’, GNU Linear Programming Kit. Repository CRAN, April 17, 2009, Version 4.8-0.5, http://www.cran.rproject.org/

  12. GAMS Data Exchange The Comprehensive R Archive Network (CRAN). http://support.gamssoftware.com/doku.php?id=gdxrrw:interfacing_gams_and_r

  13. Roslyakova, I.: Modified Segmentation Methods of Quasi-stationary Time Series. useR conference 2010, http://user2010.org/slides/Roslyakova.pdf

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Author information

Authors and Affiliations

  1. BASF SE, KTE, 67056, Ludwigshafen, Germany

    Hans-Joachim Pitz

Authors
  1. Hans-Joachim Pitz
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Editor information

Editors and Affiliations

  1. Am Mahlstein 8, Weisenheim, 67273, Germany

    Josef Kallrath

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© 2012 Springer-Verlag Berlin Heidelberg

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Pitz, HJ. (2012). Data Preparation for Optimization with R. In: Kallrath, J. (eds) Algebraic Modeling Systems. Applied Optimization, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23592-4_9

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