R: Extract and Visualize the Results of Multivariate Data Analyses

# Extract and Visualize the Results of Multivariate Data Analyses

## Documentation for package ‘factoextra’ version 1.0.5

- DESCRIPTION file.

## Help Pages

decathlon2 | Athletes' performance in decathlon
deprecated | Deprecated Functions
dist | Enhanced Distance Matrix Computation and Visualization
eclust | Visual enhancement of clustering analysis
eigenvalue | Extract and visualize the eigenvalues/variances of dimensions
facto_summarize | Subset and summarize the output of factor analyses
fviz | Visualizing Multivariate Analyse 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 | Dertermining 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 | Dertermining 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
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
hcut | Computes Hierarchical Clustering and Cut the Tree
hkmeans | Hierarchical k-means clustering
hkmeans_tree | Hierarchical k-means clustering
housetasks | House tasks contingency table
multishapes | A dataset containing clusters of multiple shapes
poison | Poison
print.factoextra | Print method for an object of class factoextra
print.hkmeans | Hierarchical k-means clustering