R: Graphs for Correspondence Analysis

# Graphs for Correspondence Analysis

## Documentation for package ‘ggfacto’ version 0.3.2

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

benzecri_mrv | Benzecri's modified rate of variance
ggca | Readable and Interactive graph for simple correspondence analysis
ggi | Pass a MCA plot into a html interactive plot
ggmca | Readable and Interactive graph for multiple correspondence analysis
ggmca_3d | Interactive 3D Plot for Multiple Correspondence Analyses (plotly::)
ggmca_data | Readable and Interactive graph for multiple correspondence analysis
ggmca_initial_dims | Plot Initial Dimensions (Active Variables) of Multiple Correspondence Analysis
ggmca_plot | Readable and Interactive graph for multiple correspondence analysis
ggmca_with_base_ref | Plot Initial Dimensions (Active Variables) on a Multiple Correspondence Analyses
ggpca_3d | Interactive 3D Plot for Principal Component Analyses (plotly::)
ggpca_cor_circle | Correlation Circle Plot for Principal Component Analysis
ggsave2 | Save a plot as image
HCPC_tab | Multiple Tables for Hierarchical Clusters
material_colors_dark | Title Scale color dark for MCA.
material_colors_light | Title Scale color light for MCA.
MCA2 | Multiple Correspondence Analysis
mca_interpret | Helper table to interpret multiple correspondence analysis
mean_sd_tab | Simple Mean and SD Summary
PCA2 | Principal Component Analysis
pca_interpret | Colored Table to Help Interpretation of Principal Component Analysis
pers_or_plot | Modified odd ratios plot from 'finalfit'
theme_facto | A ggplot2 Theme for Geometrical Data Analysis