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RKWard: A Comprehensive Graphical User Interface and Integrated Development Environment for Statistical Analysis with R

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  • Rödiger, Stefan
  • Friedrichsmeier, Thomas
  • Kapat, Prasenjit
  • Michalke, Meik

Abstract

R is a free open-source implementation of the S statistical computing language and programming environment. The current status of R is a command line driven interface with no advanced cross-platform graphical user interface (GUI), but it includes tools for building such. Over the past years, proprietary and non-proprietary GUI solutions have emerged, based on internal or external tool kits, with different scopes and technological concepts. For example, Rgui.exe and Rgui.app have become the de facto GUI on the Microsoft Windows and Mac OS X platforms, respectively, for most users. In this paper we discuss RKWard which aims to be both a comprehensive GUI and an integrated development environment for R. RKWard is based on the KDE software libraries. Statistical procedures and plots are implemented using an extendable plugin architecture based on ECMAScript (JavaScript), R, and XML. RKWard provides an excellent tool to manage different types of data objects; even allowing for seamless editing of certain types. The objective of RKWard is to provide a portable and extensible R interface for both basic and advanced statistical and graphical analysis, while not compromising on flexibility and modularity of the R programming environment itself.

Suggested Citation

  • Rödiger, Stefan & Friedrichsmeier, Thomas & Kapat, Prasenjit & Michalke, Meik, 2012. "RKWard: A Comprehensive Graphical User Interface and Integrated Development Environment for Statistical Analysis with R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i09).
    • Handle: RePEc:jss:jstsof:v:049:i09
    DOI: http://hdl.handle.net/10.18637/jss.v049.i09
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    References listed on IDEAS

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    1. Fellows, Ian, 2012. "Deducer: A Data Analysis GUI for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i08).
    2. Fox, John, 2005. "The R Commander: A Basic-Statistics Graphical User Interface to R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i09).
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    3. Birk Diedenhofen & Jochen Musch, 2015. "cocor: A Comprehensive Solution for the Statistical Comparison of Correlations," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
    4. Bandara, Kanchana & Varpe, Øystein & Maps, Frédéric & Ji, Rubao & Eiane, Ketil & Tverberg, Vigdis, 2021. "Timing of Calanus finmarchicus diapause in stochastic environments," Ecological Modelling, Elsevier, vol. 460(C).
    5. Fellows, Ian, 2012. "Deducer: A Data Analysis GUI for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i08).
    6. Visne, Ilhami & Yildiz, Ahmet & Dilaveroglu, Ekran & Vierlinger, Klemens & Nöhammer, Christa & Leisch, Friedrich & Kriegner, Albert, 2012. "speedR: An R Package for Interactive Data Import, Filtering and Ready-to-Use Code Generation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 51(i02).
    7. Valero-Mora, Pedro M. & Ledesma, Ruben, 2012. "Graphical User Interfaces for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i01).
    8. Irenaeus Wolff, 2013. "When best-replies are not in equilibrium: understanding cooperative behaviour," TWI Research Paper Series 88, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    9. Snellenburg, Joris J. & Laptenok, Sergey & Seger, Ralf & Mullen, Katharine M. & van Stokkum, Ivo H. M., 2012. "Glotaran: A Java-Based Graphical User Interface for the R Package TIMP," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i03).
    10. Cheng, Ya-Shan & Peng, Chien-Yu, 2012. "Integrated Degradation Models in R Using iDEMO," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i02).

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