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rpanel: Simple Interactive Controls for R Functions Using the tcltk Package

Author

Listed:
  • Bowman, Adrian
  • Crawford, Ewan
  • Alexander, Gavin
  • Bowman, Richard W

Abstract

In a variety of settings it is extremely helpful to be able to apply R functions through buttons, sliders and other types of graphical control. This is particularly true in plotting activities where immediate communication between such controls and a graphical display allows the user to interact with a plot in a very effective manner. The tcltk package provides extensive tools for this and the aim of the rpanel package is to provide simple and well documented functions which make these facilities as accessible as possible. In addition, the operations which form the basis of communication within tcltk are managed in a way which allows users to write functions with a more standard form of parameter passing. This paper describes the basic design of the software and illustrates it on a variety of examples of interactive control of graphics. The tkrplot system is used to allow plots to be integrated with controls into a single panel. An example of the use of a graphical image, and the ability to interact with this, is also discussed.

Suggested Citation

  • Bowman, Adrian & Crawford, Ewan & Alexander, Gavin & Bowman, Richard W, 2007. "rpanel: Simple Interactive Controls for R Functions Using the tcltk Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i09).
    • Handle: RePEc:jss:jstsof:v:017:i09
    DOI: http://hdl.handle.net/10.18637/jss.v017.i09
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    Cited by:

    1. Amirhossein Jalali & Alberto Alvarez-Iglesias & Davood Roshan & John Newell, 2019. "Visualising statistical models using dynamic nomograms," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-15, November.
    2. Hoffmann, Thomas J. & Laird, Nan M., 2009. "fgui: A Method for Automatically Creating Graphical User Interfaces for Command-Line R Packages," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i02).
    3. Martin Meermeyer, 2014. "LinRegInteractive: An R Package for the Interactive Interpretation of Linear Regression Models," Schumpeter Discussion Papers SDP14014, Universitätsbibliothek Wuppertal, University Library.
    4. David O'Donnell & Alastair Rushworth & Adrian W. Bowman & E. Marian Scott & Mark Hallard, 2014. "Flexible regression models over river networks," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(1), pages 47-63, January.
    5. Xie, Yihui, 2013. "animation: An R Package for Creating Animations and Demonstrating Statistical Methods," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 53(i01).
    6. Thiele, Jan C, 2014. "R Marries NetLogo: Introduction to the RNetLogo Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i02).
    7. repec:jss:jstsof:36:i13 is not listed on IDEAS
    8. Taylor, Benjamin M. & Davies, Tilman M. & Rowlingson, Barry S. & Diggle, Peter J., 2013. "lgcp: An R Package for Inference with Spatial and Spatio-Temporal Log-Gaussian Cox Processes," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i04).
    9. repec:jss:jstsof:30:i02 is not listed on IDEAS

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