# Extract and Visualize the Results of Multivariate Data Analyses

## Documentation for package ‘factoextra’ version 2.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A D E F G H M P T

## -- A --

as_factoextra_pca | Build a factoextra-ready object from pre-computed coordinates
as_factoextra_pca.default | Build a factoextra-ready object from pre-computed coordinates
as_factoextra_pca.recipe | Build a factoextra-ready object from pre-computed coordinates
as_factoextra_pca.workflow | Build a factoextra-ready object from pre-computed coordinates

## -- D --

decathlon2 | Athletes' performance in decathlon
deprecated | Deprecated Functions
dist | Enhanced Distance Matrix Computation and Visualization

## -- E --

eclust | Visual enhancement of clustering analysis
eigenvalue | Extract and visualize the eigenvalues/variances of dimensions

## -- F --

factoextra_palette | Colorblind-safe color palette for factoextra plots
factominer_category_map | Map FactoMineR category labels to legacy naming patterns
facto_summarize | Subset and summarize the output of factor analyses
fviz | Visualizing Multivariate Analysis Outputs
fviz_add | Add supplementary data to a plot
fviz_ca | Visualize Correspondence Analysis
fviz_ca_biplot | Visualize Correspondence Analysis
fviz_ca_col | Visualize Correspondence Analysis
fviz_ca_row | Visualize Correspondence Analysis
fviz_cluster | Visualize Clustering Results
fviz_contrib | Visualize the contributions of row/column elements
fviz_cos2 | Visualize the quality of representation of rows/columns
fviz_dend | Enhanced Visualization of Dendrogram
fviz_dist | Enhanced Distance Matrix Computation and Visualization
fviz_eig | Extract and visualize the eigenvalues/variances of dimensions
fviz_ellipses | Draw confidence ellipses around the categories
fviz_famd | Visualize Factor Analysis of Mixed Data
fviz_famd_ind | Visualize Factor Analysis of Mixed Data
fviz_famd_var | Visualize Factor Analysis of Mixed Data
fviz_gap_stat | Determining and Visualizing the Optimal Number of Clusters
fviz_hmfa | Visualize Hierarchical Multiple Factor Analysis
fviz_hmfa_group | Deprecated Functions
fviz_hmfa_ind | Visualize Hierarchical Multiple Factor Analysis
fviz_hmfa_ind_starplot | Deprecated Functions
fviz_hmfa_quali_biplot | Visualize Hierarchical Multiple Factor Analysis
fviz_hmfa_quali_var | Deprecated Functions
fviz_hmfa_quanti_var | Deprecated Functions
fviz_hmfa_var | Visualize Hierarchical Multiple Factor Analysis
fviz_mca | Visualize Multiple Correspondence Analysis
fviz_mca_biplot | Visualize Multiple Correspondence Analysis
fviz_mca_ind | Visualize Multiple Correspondence Analysis
fviz_mca_var | Visualize Multiple Correspondence Analysis
fviz_mclust | Plot Model-Based Clustering Results using ggplot2
fviz_mclust_bic | Plot Model-Based Clustering Results using ggplot2
fviz_mfa | Visualize Multiple Factor Analysis
fviz_mfa_axes | Visualize Multiple Factor Analysis
fviz_mfa_group | Deprecated Functions
fviz_mfa_ind | Visualize Multiple Factor Analysis
fviz_mfa_ind_starplot | Deprecated Functions
fviz_mfa_quali_biplot | Visualize Multiple Factor Analysis
fviz_mfa_quali_var | Deprecated Functions
fviz_mfa_quanti_var | Deprecated Functions
fviz_mfa_var | Visualize Multiple Factor Analysis
fviz_nbclust | Determining and Visualizing the Optimal Number of Clusters
fviz_pca | Visualize Principal Component Analysis
fviz_pca_biplot | Visualize Principal Component Analysis
fviz_pca_contrib | Visualize the contributions of row/column elements
fviz_pca_ind | Visualize Principal Component Analysis
fviz_pca_var | Visualize Principal Component Analysis
fviz_screeplot | Extract and visualize the eigenvalues/variances of dimensions
fviz_silhouette | Visualize Silhouette Information from Clustering
fviz_tsne | Visualize a UMAP or t-SNE embedding
fviz_umap | Visualize a UMAP or t-SNE embedding

## -- G --

get_ca | Extract the results for rows/columns - CA
get_ca_col | Extract the results for rows/columns - CA
get_ca_row | Extract the results for rows/columns - CA
get_clust_tendency | Assessing Clustering Tendency
get_dist | Enhanced Distance Matrix Computation and Visualization
get_eig | Extract and visualize the eigenvalues/variances of dimensions
get_eigenvalue | Extract and visualize the eigenvalues/variances of dimensions
get_famd | Extract the results for individuals and variables - FAMD
get_famd_ind | Extract the results for individuals and variables - FAMD
get_famd_var | Extract the results for individuals and variables - FAMD
get_hmfa | Extract the results for individuals/variables/group/partial axes - HMFA
get_hmfa_group | Deprecated Functions
get_hmfa_ind | Extract the results for individuals/variables/group/partial axes - HMFA
get_hmfa_partial | Extract the results for individuals/variables/group/partial axes - HMFA
get_hmfa_quali_var | Deprecated Functions
get_hmfa_quanti_var | Deprecated Functions
get_hmfa_var | Extract the results for individuals/variables/group/partial axes - HMFA
get_mca | Extract the results for individuals/variables - MCA
get_mca_ind | Extract the results for individuals/variables - MCA
get_mca_var | Extract the results for individuals/variables - MCA
get_mfa | Extract the results for individuals/variables/group/partial axes - MFA
get_mfa_group | Deprecated Functions
get_mfa_ind | Extract the results for individuals/variables/group/partial axes - MFA
get_mfa_partial_axes | Extract the results for individuals/variables/group/partial axes - MFA
get_mfa_quali_var | Deprecated Functions
get_mfa_quanti_var | Deprecated Functions
get_mfa_var | Extract the results for individuals/variables/group/partial axes - MFA
get_pca | Extract the results for individuals/variables - PCA
get_pca_ind | Extract the results for individuals/variables - PCA
get_pca_var | Extract the results for individuals/variables - PCA

## -- H --

hcut | Computes Hierarchical Clustering and Cut the Tree
hkmeans | Hierarchical k-means clustering
hkmeans_tree | Hierarchical k-means clustering
housetasks | House tasks contingency table

## -- M --

map_factominer_legacy_names | Map legacy FactoMineR category names to current labels
multishapes | A dataset containing clusters of multiple shapes

## -- P --

poison | Poison
print.factoextra | Print method for an object of class factoextra
print.hkmeans | Hierarchical k-means clustering

## -- T --

theme_factoextra | A clean publication theme for factoextra plots