Package index
One workflow, three analyses
The analysis, its interpretation table, its graph, and its clusters: the same verbs for a principal component analysis, a correspondence analysis and a multiple correspondence analysis.
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principal_component_analysis()PCA2() - Principal Component Analysis
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correspondence_analysis() - Correspondence Analysis of a Crosstab
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multiple_correspondence_analysis()MCA2() - Multiple Correspondence Analysis
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interpret()mca_interpret()pca_interpret() - Interpret the Axes of an Analysis
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eigenvalues() - The Eigenvalues of an Analysis
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ggfacto() - The Graph of an Analysis
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name_axes() - Name the Axes of an Analysis
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hierarchical_clust() - Hierarchical Clustering on the Axes of an Analysis
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clust_tab() - Describe Clusters with One Table
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ggpca() - Readable and Interactive Graph of the Individuals of a Principal Component Analysis
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ggpca_cor_circle() - Correlation Circle Plot for Principal Component Analysis
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ggpca_3d() - Interactive 3D Plot for Principal Component Analyses (plotly::)
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ggca() - Readable and Interactive Graph for Simple Correspondence Analysis
Multiple correspondence analysis
The graph of an MCA, its two halves (the plot data, to edit, and the renderer), its 3D view, and Benzecri’s modified rates.
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ggmca()ggmca_data()ggmca_plot() - Readable and Interactive graph for multiple correspondence analysis
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ggmca_3d() - Interactive 3D Plot for Multiple Correspondence Analyses (plotly::)
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benzecri_mrv() - Benzecri's modified rate of variance
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ggi() - Make a graph interactive
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ggsave2() - Save a plot as image
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ggfacto_plot - Graphs knitted at their own aspect ratio
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ggfacto_widget - Widgets written to their own file
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theme_facto() - A ggplot2 Theme for Geometrical Data Analysis
Back to the data
The individuals’ coordinates, and whether they were in the analysis, inside mutate().
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axis_coord() - Coordinates of the Individuals on the Axes of an Analysis
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is_in_analysis() - Which Rows an Analysis Was Made On
Teaching plots
The active variables in their initial frame of reference, and that frame in the analysis.
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ggmca_initial_dims() - Plot Initial Dimensions (Active Variables) of Multiple Correspondence Analysis
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ggmca_with_base_ref() - Plot Initial Dimensions (Active Variables) on a Multiple Correspondence Analyses
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print(<ggfacto_summary>) - The interpretation tables, and how they print
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material_colors_dark() - Dark Material palette for MCA level names
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material_colors_light() - Light Material palette for MCA points
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HCPC_tab() - Describe Clusters with One Table: the Former Form
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mean_sd_tab() - Simple Mean and SD Summary (deprecated)