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Deducer: A Data Analysis GUI for R

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  • Fellows, Ian

Abstract

While R has proven itself to be a powerful and flexible tool for data exploration and analysis, it lacks the ease of use present in other software such as SPSS and Minitab. An easy to use graphical user interface (GUI) can help new users accomplish tasks that would otherwise be out of their reach, and improves the efficiency of expert users by replacing fifty key strokes with five mouse clicks. With this in mind, Deducer presents dialogs that are understandable for the beginner, and yet contain all (or most) of the options that an experienced statistician, performing the same task, would want. An Excel-like spreadsheet is included for easy data viewing and editing. Deducer is based on Java's Swing GUI library and can be used on any common operating system. The GUI is independent of the specific R console and can easily be used by calling a text-based menu system. Graphical menus are provided for the JGR console and the Windows R GUI.

Suggested Citation

  • Fellows, Ian, 2012. "Deducer: A Data Analysis GUI for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i08).
    • Handle: RePEc:jss:jstsof:v:049:i08
    DOI: http://hdl.handle.net/10.18637/jss.v049.i08
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    References listed on IDEAS

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    1. Fox, John & Carvalho, Marilia S., 2012. "The RcmdrPlugin.survival Package: Extending the R Commander Interface to Survival Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i07).
    2. 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).
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    Cited by:

    1. Valero-Mora, Pedro M. & Ledesma, Ruben, 2012. "Graphical User Interfaces for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i01).
    2. 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).
    3. 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).
    4. 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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