The R Commander (Fox, 2005) provides a graphical user interface (“GUI”) to the open-source R statistical. computing environment (R Core Team, 2013). R is a command-driven system, and new users often find learning R challenging. This is particularly true of those who are new to statistical methods, such as students Getting Started With the R Commander. in basic-statistics courses. By providing a point-and-click interface to R, the R Commander allows these users to focus on statistical methods rather than on remembering and generating R commands. Moreover, by rendering the generated commands visible to users, the R Commander has the potential for easing the transition to writing R commands, at least for some users. The R Commander, however, accesses only a small fraction of the capabilities of R and the literally thousands of R packages contributed by users to the Comprehensive R Archive Network (CRAN). The R Commander is itself extensible through plug-in packages, and many such plug-ins are now available on CRAN (

References in zbMATH (referenced in 23 articles , 2 standard articles )

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  1. Fox, John: Using the R commander. A point-and-click interface for R (2017)
  2. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)
  3. Pagès, Jér^ome: Multiple factor analysis by example using R (2015)
  4. Falk, Michael; Hain, Johannes; Marohn, Frank; Fischer, Hans; Michel, René: Statistics in theory and practice. With applications in R (2014)
  5. Byron Wallace; Issa Dahabreh; Thomas Trikalinos; Joseph Lau; Paul Trow; Christopher Schmid: Closing the Gap between Methodologists and End-Users: R as a Computational Back-End (2012) not zbMATH
  6. Ian Fellows: Deducer: A Data Analysis GUI for R (2012) not zbMATH
  7. Ilhami Visne; Ahmet Yildiz; Ekran Dilaveroglu; Klemens Vierlinger; Christa Nöhammer; Friedrich Leisch; Albert Kriegner: speedR: An R Package for Interactive Data Import, Filtering and Ready-to-Use Code Generation (2012) not zbMATH
  8. John Fox; Marilia Carvalho: The RcmdrPlugin.survival Package: Extending the R Commander Interface to Survival Analysis (2012) not zbMATH
  9. Pedro Valero-Mora; Ruben Ledesma: Graphical User Interfaces for R (2012) not zbMATH
  10. Shahbaba, Babak: Biostatistics with R. An introduction to statistics through biological data. (2012)
  11. Stefan Rödiger; Thomas Friedrichsmeier; Prasenjit Kapat; Meik Michalke: RKWard: A Comprehensive Graphical User Interface and Integrated Development Environment for Statistical Analysis with R (2012) not zbMATH
  12. Muche, Rainer; Lanzinger, Stefanie; Rau, Michael: Medical statistics with R and Excel. Introduction to the RExcel and R-Commander surfaces for statistical evaluation (2011)
  13. Michael Lawrence; Duncan Temple Lang: RGtk2: A Graphical User Interface Toolkit for R (2010) not zbMATH
  14. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)
  15. Thomas Hoffmann; Nan Laird: fgui: A Method for Automatically Creating Graphical User Interfaces for Command-Line R Packages (2009) not zbMATH
  16. Murrell, Paul: Static graphics (2008)
  17. Sébastien Lê; Julie Josse; François Husson: FactoMineR: An R Package for Multivariate Analysis (2008) not zbMATH
  18. Adrian Bowman; Ewan Crawford; Gavin Alexander; Richard Bowman: rpanel: Simple Interactive Controls for R Functions Using the tcltk Package (2007) not zbMATH
  19. Baier, Thomas; Neuwirth, Erich: Excel :: COM :: R (2007)
  20. Jean Thioulouse; Stéphane Dray: Interactive Multivariate Data Analysis in R with the ade4 and ade4TkGUI Packages (2007) not zbMATH

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