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Yxilon: Designing The Next Generation, Vertically Integrable Statistical Software Environment

Author

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  • Ziegenhagen, Uwe
  • Klinke, Sigbert
  • Härdle, Wolfgang Karl

Abstract

Modern statistical computing requires smooth integration of new algorithms and quantitative analysis results in all sorts of platforms such as webbrowsers, standard and proprietary application software. Common statistical software packages can often not be adapted to integrate into new environments or simply lack the demands users and especially beginners have. With Yxilon we propose a vertically integrable, modular statistical computing environment, providing the user a rich set of methods and a diversity of different interfaces, including command-line interface, web clients and interactive examples in electronic books. This architecture allows the users to rely upon only one environment in order to organize data from a variety of sources, analyse them and visualize or export the results to other software programs. The design of Yxilon is inspired by XploRe, a statistical environment developed by MD*Tech and Humboldt-Universität zu Berlin. Yxilon incorporates several ideas from recent developments and design principles in software engineering: modular plug-in architecture, platform independence, and separation of user interfaces and computing engine.

Suggested Citation

  • Ziegenhagen, Uwe & Klinke, Sigbert & Härdle, Wolfgang Karl, 2004. "Yxilon: Designing The Next Generation, Vertically Integrable Statistical Software Environment," Papers 2004,40, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    • Handle: RePEc:zbw:caseps:200440
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    References listed on IDEAS

    as
    1. McCullough, B. D. & Wilson, Berry, 1999. "On the accuracy of statistical procedures in Microsoft Excel 97," Computational Statistics & Data Analysis, Elsevier, vol. 31(1), pages 27-37, July.
    2. Klinke, Sigbert, 2004. "Statistical user interfaces," Papers 2004,35, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    3. Härdle, Wolfgang Karl & Mori, Yuichi & Symanzik, Jürgen, 2012. "Computational Statistics (Journal)," SFB 649 Discussion Papers 2012-004, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. repec:hum:wpaper:sfb649dp2012-004 is not listed on IDEAS
    5. Lehmann, Heiko, 2003. "XploRe Quantlet Client: Web Service for Mathematical and Statistical Computing," SFB 373 Discussion Papers 2003,23, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    Full references (including those not matched with items on IDEAS)

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