Rcmdr

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 31 articles , 2 standard articles )

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  1. Tyler Morgan-Wall, George Khoury: Optimal Design Generation and Power Evaluation in R: The skpr Package (2021) not zbMATH
  2. Vincent Alcazer: StatAid: An R package with a graphical user interface for data analysis (2020) not zbMATH
  3. Ghobadi Nejad, Zahra; Borghei, Seyed Mehdi; Yaghmaei, Soheila; Hasan-Zadeh, Atefeh: Developing a new approach for (biological) optimal control problems: application to optimization of laccase production with a comparison between response surface methodology and novel geometric procedure (2019)
  4. Jonathon Love; Ravi Selker; Maarten Marsman; Tahira Jamil; Damian Dropmann; Josine Verhagen; Alexander Ly; Quentin Gronau; Martin Šmíra; Sacha Epskamp; Dora Matzke; Anneliese Wild; Patrick Knight; Jeffrey Rouder; Richard Morey; Eric-Jan Wagenmakers: JASP: Graphical Statistical Software for Common Statistical Designs (2019) not zbMATH
  5. Urbano Lorenzo-Seva; Michel van de Velden: MultipleCar: A Graphical User Interface MATLAB Toolbox to Compute Multiple Correspondence Analysis (2019) not zbMATH
  6. Weigand, Christoph: Statistics with and without randomness. An application oriented introduction (2019)
  7. Fox, John: Using the R commander. A point-and-click interface for R (2017)
  8. Husson, François; Lê, Sébastien; Pagès, Jérôme: Exploratory multivariate analysis by example using R (2017)
  9. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)
  10. Pagès, Jérôme: Multiple factor analysis by example using R (2015)
  11. Falk, Michael; Hain, Johannes; Marohn, Frank; Fischer, Hans; Michel, René: Statistics in theory and practice. With applications in R (2014)
  12. MacFarland, Thomas W.: Introduction to data analysis and graphical presentation in biostatistics with R. Statistics in the large (2014)
  13. 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
  14. Ian Fellows: Deducer: A Data Analysis GUI for R (2012) not zbMATH
  15. 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
  16. John Fox; Marilia Carvalho: The RcmdrPlugin.survival Package: Extending the R Commander Interface to Survival Analysis (2012) not zbMATH
  17. Pedro Valero-Mora; Ruben Ledesma: Graphical User Interfaces for R (2012) not zbMATH
  18. Shahbaba, Babak: Biostatistics with R. An introduction to statistics through biological data. (2012)
  19. 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
  20. Muche, Rainer; Lanzinger, Stefanie; Rau, Michael: Medical statistics with R and Excel. Introduction to the RExcel and R-Commander surfaces for statistical evaluation (2011)

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