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ggfacto  

Graphs for Correspondence Analysis
View on CRAN: Click here


Download and install ggfacto package within the R console
Install from CRAN:
install.packages("ggfacto")

Install from Github:
library("remotes")
install_github("cran/ggfacto")

Install by package version:
library("remotes")
install_version("ggfacto", "0.3.2")



Attach the package and use:
library("ggfacto")
Maintained by
Brice Nocenti
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-22
Latest Update: 2024-01-25
Description:
Readable, complete and pretty graphs for correspondence analysis made with 'FactoMineR'. They can be rendered as interactive 'HTML' plots, showing useful informations 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'.
How to cite:
Brice Nocenti (2021). ggfacto: Graphs for Correspondence Analysis. R package version 0.3.2, https://cran.r-project.org/web/packages/ggfacto. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.2.2 (2021-10-22 09:40), 0.2.3 (2024-01-25 18:10), 0.3.0 (2024-03-08 23:00), 0.3.1 (2024-08-30 17:00)
Other packages that cited ggfacto R package
View ggfacto citation profile
Other R packages that ggfacto depends, imports, suggests or enhances
Complete documentation for ggfacto
Functions, R codes and Examples using the ggfacto R package
Some associated functions: MCA2 . benzecri_mrv . cleannames_condition . fct_clean . fct_detect_replace . ggca . ggi . ggmca . ggsave2 . material_colors_dark . material_colors_light . mca_interpret . pers_or_plot . pipe . theme_facto . 
Some associated R codes: geometrical_data_analysis.R . utils.R .  Full ggfacto package functions and examples
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