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Authors

  • Brice Nocenti. Author, maintainer.

  • Francois Husson. Contributor, copyright holder.
    the cut rule and tree plot of hierarchical_clust(), after 'FactoMineR' HCPC()

  • Guillaume Le Ray. Contributor, copyright holder.
    the cut rule and tree plot of hierarchical_clust(), after 'FactoMineR' HCPC()

  • Quentin Molto. Contributor, copyright holder.
    the cut rule and tree plot of hierarchical_clust(), after 'FactoMineR' HCPC()

Citation

Source: inst/CITATION

Nocenti B. (2026). ggfacto: Graphs for Correspondence Analysis. R package version 0.4.0. https://github.com/BriceNocenti/ggfacto

@Manual{,
  title = {{ggfacto}: Graphs for Correspondence Analysis},
  author = {Brice Nocenti},
  year = {2026},
  note = {R package version 0.4.0},
  url = {https://bricenocenti.github.io/ggfacto/},
}

Sebastien Le, Julie Josse, Francois Husson (2008). FactoMineR: An R Package for Multivariate Analysis. Journal of Statistical Software, 25(1), 1-18. 10.18637/jss.v025.i01

@Article{,
  title = {{FactoMineR}: An {R} Package for Multivariate Analysis},
  author = {S\'ebastien L\^e and Julie Josse and Fran\c{c}ois Husson},
  journal = {Journal of Statistical Software},
  year = {2008},
  volume = {25},
  number = {1},
  pages = {1--18},
  doi = {10.18637/jss.v025.i01},
}

Le Roux B, Rouanet H (2004). Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis. Kluwer Academic Publishers, Dordrecht. doi:10.1007/1-4020-2236-0.

@Book{,
  title = {Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis},
  author = {Brigitte {Le Roux} and Henry Rouanet},
  publisher = {Kluwer Academic Publishers},
  address = {Dordrecht},
  year = {2004},
  doi = {10.1007/1-4020-2236-0},
}

Le Roux B, Rouanet H (2010). Multiple Correspondence Analysis, number 163 series Quantitative Applications in the Social Sciences. SAGE. doi:10.4135/9781412993906.

@Book{,
  title = {Multiple Correspondence Analysis},
  author = {Brigitte {Le Roux} and Henry Rouanet},
  publisher = {SAGE},
  series = {Quantitative Applications in the Social Sciences},
  number = {163},
  year = {2010},
  doi = {10.4135/9781412993906},
}

Benzécri J (1979). “Sur le calcul des taux d'inertie dans l'analyse d'un questionnaire.” Les Cahiers de l'Analyse des Données, 4(3), 377–378.

@Article{,
  title = {Sur le calcul des taux d'inertie dans l'analyse d'un questionnaire},
  author = {Jean-Paul Benz\'ecri},
  journal = {Les Cahiers de l'Analyse des Donn\'ees},
  year = {1979},
  volume = {4},
  number = {3},
  pages = {377--378},
}

Husson F, Josse J, Pagès J (2010). “Principal component methods - hierarchical clustering - partitional clustering: why would we need to choose for visualizing data?” Agrocampus Ouest, Applied Mathematics Department. http://factominer.free.fr/more/HCPC_husson_josse.pdf.

@TechReport{,
  title = {Principal component methods - hierarchical clustering - partitional clustering: why would we need to choose for visualizing data?},
  author = {Fran\c{c}ois Husson and Julie Josse and J\'er\^ome Pag\`es},
  institution = {Agrocampus Ouest, Applied Mathematics Department},
  year = {2010},
  url = {http://factominer.free.fr/more/HCPC_husson_josse.pdf},
}

Robette N (2025). GDAtools: Geometric Data Analysis in R. https://nicolas-robette.frama.io/GDAtools/.

@Manual{,
  title = {{GDAtools}: Geometric Data Analysis in {R}},
  author = {Nicolas Robette},
  year = {2025},
  url = {https://nicolas-robette.frama.io/GDAtools/},
}