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 23 articles )

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  1. Nicolussi, Federica; Cazzaro, Manuela: Context-specific independencies in hierarchical multinomial marginal models (2020)
  2. Mair, Patrick: Modern psychometrics with R (2018)
  3. Nicholas E. Hamilton, Michael Ferry: ggtern: Ternary Diagrams Using ggplot2 (2018) not zbMATH
  4. Ulrike Grömping: R Package DoE.base for Factorial Experiments (2018) not zbMATH
  5. Matthias Templ and Bernhard Meindl and Alexander Kowarik and Olivier Dupriez: Simulation of Synthetic Complex Data: The R Package simPop (2017) not zbMATH
  6. Templ, Matthias: Statistical disclosure control for microdata. Methods and applications in R (2017)
  7. Friendly, Michael; Meyer, David: Discrete data analysis with R. Visualization and modeling techniques for categorical and count data (2016)
  8. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  9. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)
  10. Unwin, Antony: Graphical data analysis with R (2015)
  11. Kateri, Maria: Contingency table analysis. Methods and implementation using R (2014)
  12. Rao, Marepalli B. (ed.); Rao, C. R. (ed.): Computational statistics with R (2014)
  13. Richard Heiberger; Naomi Robbins: Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications (2014) not zbMATH
  14. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2013)
  15. Alfons, Andreas; Kraft, Stefan; Templ, Matthias; Filzmoser, Peter: Simulation of close-to-reality population data for household surveys with application to EU-SILC (2011)
  16. Thomas Yee: The VGAM Package for Categorical Data Analysis (2010) not zbMATH
  17. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)
  18. Manuel Eugster; Friedrich Leisch: From Spider-Man to Hero — Archetypal Analysis in R (2009) not zbMATH
  19. Wickham, Hadley: ggplot2. Elegant graphics for data analysis (2009)
  20. Zeileis, Achim; Hornik, Kurt; Murrell, Paul: Escaping RGBland: selecting colors for statistical graphics (2009)

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