R package vcd: Visualizing Categorical Data , Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was inspired by the book ”Visualizing Categorical Data” by Michael Friendly. (Source:

References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
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  1. Ulrike Grömping: R Package DoE.base for Factorial Experiments (2018)
  2. Matthias Templ and Bernhard Meindl and Alexander Kowarik and Olivier Dupriez: Simulation of Synthetic Complex Data: The R Package simPop (2017)
  3. Friendly, Michael; Meyer, David: Discrete data analysis with R. Visualization and modeling techniques for categorical and count data (2016)
  4. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  5. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)
  6. Unwin, Antony: Graphical data analysis with R (2015)
  7. Kateri, Maria: Contingency table analysis. Methods and implementation using R (2014)
  8. Rao, Marepalli B. (ed.); Rao, C. R. (ed.): Computational statistics with R (2014)
  9. Richard Heiberger; Naomi Robbins: Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications (2014)
  10. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2013)
  11. Alfons, Andreas; Kraft, Stefan; Templ, Matthias; Filzmoser, Peter: Simulation of close-to-reality population data for household surveys with application to EU-SILC (2011)
  12. Thomas Yee: The VGAM Package for Categorical Data Analysis (2010)
  13. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)
  14. Manuel Eugster; Friedrich Leisch: From Spider-Man to Hero — Archetypal Analysis in R (2009)
  15. Wickham, Hadley: ggplot2. Elegant graphics for data analysis (2009)
  16. Zeileis, Achim; Hornik, Kurt; Murrell, Paul: Escaping RGBland: selecting colors for statistical graphics (2009)
  17. Torsten Hothorn; Kurt Hornik; Mark van de Wiel; Achim Zeileis: Implementing a Class of Permutation Tests: The coin Package (2008)
  18. Katharine Mullen; Ivo van Stokkum: TIMP: An R Package for Modeling Multi-way Spectroscopic Measurements (2007)
  19. David Meyer; Achim Zeileis; Kurt Hornik: The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd (2006)