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ggfacto: Graphs for Correspondence Analysis
Readable, complete and pretty graphs for multiple correspondence analysis, correspondence analysis and principal component analysis made with 'FactoMineR'. They can be rendered as interactive 'HTML' plots, showing useful information at mouse hover. The interest is not mainly visual but statistical. It helps the reader to keep in mind the data contained in the cross-table or Burt table while reading the correspondence analysis, thus preventing over-interpretation. Most graphs are made with 'ggplot2', which means that you can use the + syntax to manually add as many graphical pieces you want, or change theme elements. 3D graphs are made with 'plotly'.
Getting started
Browse package contents
Package details |
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| Author | Brice Nocenti [aut, cre], Francois Husson [ctb, cph] (the cut rule and tree plot of hierarchical_clust(), after 'FactoMineR' HCPC()), Guillaume Le Ray [ctb, cph] (the cut rule and tree plot of hierarchical_clust(), after 'FactoMineR' HCPC()), Quentin Molto [ctb, cph] (the cut rule and tree plot of hierarchical_clust(), after 'FactoMineR' HCPC()) |
| Maintainer | Brice Nocenti <brice.nocenti@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.4.0 |
| URL | https://bricenocenti.github.io/ggfacto/ https://github.com/BriceNocenti/ggfacto |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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