Package: factoextra 2.2.0.9000

factoextra: Extract and Visualize the Results of Multivariate Data Analyses

Provides easy-to-use functions to extract and visualize the output of multivariate data analyses, including 'PCA' (Principal Component Analysis), 'CA' (Correspondence Analysis), 'MCA' (Multiple Correspondence Analysis), 'FAMD' (Factor Analysis of Mixed Data), 'MFA' (Multiple Factor Analysis), and 'HMFA' (Hierarchical Multiple Factor Analysis) from different R packages. It standardizes coordinates, squared cosines, contributions, and eigenvalues from several analysis backends and produces 'ggplot2'-based factor maps, scree plots, contribution plots, clustering diagnostics, dendrograms, and silhouette plots. It also visualizes two-dimensional 'UMAP' and t-SNE embeddings and adapts precomputed or 'tidymodels' principal-component results for the same plotting interface.

Authors:Alboukadel Kassambara [aut, cre], Fabian Mundt [aut], Laszlo Erdey [ctb]

factoextra_2.2.0.9000.tar.gz
factoextra_2.2.0.9000.zip(r-4.7-any)factoextra_2.2.0.9000.zip(r-4.6-any)factoextra_2.2.0.9000.zip(r-4.5-any)
factoextra_2.2.0.9000.tgz(r-4.6-any)factoextra_2.2.0.9000.tgz(r-4.5-any)
factoextra_2.2.0.9000.tar.gz(r-4.7-any)factoextra_2.2.0.9000.tar.gz(r-4.6-any)
factoextra_2.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
factoextra/json (API)

# Install 'factoextra' in R:

install.packages('factoextra', repos = c('https://kassambara.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kassambara/factoextra/issues

Pkgdown/docs site:https://rpkgs.datanovia.com

Datasets:

decathlon2 - Athletes' performance in decathlon
housetasks - House tasks contingency table
multishapes - A dataset containing clusters of multiple shapes
poison - Poison

On CRAN:

16.38 score 386 stars 61 packages 24k scripts 81k downloads 650 mentions 90 exports 120 dependencies

Last updated from:4d37087f77. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	285
source / vignettes	OK	282
linux-release	OK	352
macos-release	OK	179
macos-oldrel	OK	226
windows-devel	OK	243
windows-release	OK	260
windows-oldrel	OK	248
wasm-release	OK	153

Exports:as_factoextra_pca eclust facto_summarize factoextra_palette factominer_category_map fviz fviz_add fviz_ca fviz_ca_biplot fviz_ca_col fviz_ca_row fviz_cluster fviz_contrib fviz_cos2 fviz_dend fviz_dist fviz_eig fviz_ellipses fviz_famd fviz_famd_ind fviz_famd_var fviz_gap_stat fviz_hmfa fviz_hmfa_group fviz_hmfa_ind fviz_hmfa_ind_starplot fviz_hmfa_quali_biplot fviz_hmfa_quali_var fviz_hmfa_quanti_var fviz_hmfa_var fviz_mca fviz_mca_biplot fviz_mca_ind fviz_mca_var fviz_mclust fviz_mclust_bic fviz_mfa fviz_mfa_axes fviz_mfa_group fviz_mfa_ind fviz_mfa_ind_starplot fviz_mfa_quali_biplot fviz_mfa_quali_var fviz_mfa_quanti_var fviz_mfa_var fviz_nbclust fviz_pca fviz_pca_biplot fviz_pca_contrib fviz_pca_ind fviz_pca_var fviz_screeplot fviz_silhouette fviz_tsne fviz_umap get_ca get_ca_col get_ca_row get_clust_tendency get_dist get_eig get_eigenvalue get_famd get_famd_ind get_famd_var get_hmfa get_hmfa_group get_hmfa_ind get_hmfa_partial get_hmfa_quali_var get_hmfa_quanti_var get_hmfa_var get_mca get_mca_ind get_mca_var get_mfa get_mfa_group get_mfa_ind get_mfa_partial_axes get_mfa_quali_var get_mfa_quanti_var get_mfa_var get_pca get_pca_ind get_pca_var hcut hkmeans hkmeans_tree map_factominer_legacy_names theme_factoextra

Dependencies:abind backports base64enc boot broom bslib cachem car carData cli cluster colorspace corrplot cowplot cpp11 crosstalk dendextend Deriv digest doBy dplyr DT ellipse emmeans estimability evaluate FactoMineR farver fastmap flashClust fontawesome forecast Formula fracdiff fs generics ggplot2 ggpubr ggrepel ggsci ggsignif glue gridExtra gtable highr htmltools htmlwidgets irlba isoband jquerylib jsonlite knitr labeling later lattice lazyeval leaps lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv mime minqa modelr multcompView mvtnorm nlme nloptr nnet numDeriv otel pbkrtest pillar pkgconfig polynom promises purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rmarkdown rstatix S7 sass scales scatterplot3d showtext showtextdb SparseM stringi stringr survival sysfonts tibble tidyr tidyselect timeDate tinytex urca utf8 vctrs viridis viridisLite withr xfun yaml zoo

Extending factoextra to support new analysis backends

Rendered fromextending-factoextra.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2026-06-25

Help page	Topics
Build a factoextra-ready object from pre-computed coordinates	as_factoextra_pca as_factoextra_pca.default as_factoextra_pca.recipe as_factoextra_pca.workflow
Athletes' performance in decathlon	decathlon2
Deprecated Functions	deprecated fviz_hmfa_group fviz_hmfa_ind_starplot fviz_hmfa_quali_var fviz_hmfa_quanti_var fviz_mfa_group fviz_mfa_ind_starplot fviz_mfa_quali_var fviz_mfa_quanti_var get_hmfa_group get_hmfa_quali_var get_hmfa_quanti_var get_mfa_group get_mfa_quali_var get_mfa_quanti_var
Enhanced Distance Matrix Computation and Visualization	dist fviz_dist get_dist
Visual enhancement of clustering analysis	eclust
Extract and visualize the eigenvalues/variances of dimensions	eigenvalue fviz_eig fviz_screeplot get_eig get_eigenvalue
Subset and summarize the output of factor analyses	facto_summarize
Colorblind-safe color palette for factoextra plots	factoextra_palette
Map FactoMineR category labels to legacy naming patterns	factominer_category_map
Visualizing Multivariate Analysis Outputs	fviz
Add supplementary data to a plot	fviz_add
Visualize Correspondence Analysis	fviz_ca fviz_ca_biplot fviz_ca_col fviz_ca_row
Visualize Clustering Results	fviz_cluster
Visualize the contributions of row/column elements	fviz_contrib fviz_pca_contrib
Visualize the quality of representation of rows/columns	fviz_cos2
Enhanced Visualization of Dendrogram	fviz_dend
Draw confidence ellipses around the categories	fviz_ellipses
Visualize Factor Analysis of Mixed Data	fviz_famd fviz_famd_ind fviz_famd_var
Visualize Hierarchical Multiple Factor Analysis	fviz_hmfa fviz_hmfa_ind fviz_hmfa_quali_biplot fviz_hmfa_var
Visualize Multiple Correspondence Analysis	fviz_mca fviz_mca_biplot fviz_mca_ind fviz_mca_var
Plot Model-Based Clustering Results using ggplot2	fviz_mclust fviz_mclust_bic
Visualize Multiple Factor Analysis	fviz_mfa fviz_mfa_axes fviz_mfa_ind fviz_mfa_quali_biplot fviz_mfa_var
Determining and Visualizing the Optimal Number of Clusters	fviz_gap_stat fviz_nbclust
Visualize Principal Component Analysis	fviz_pca fviz_pca_biplot fviz_pca_ind fviz_pca_var
Visualize Silhouette Information from Clustering	fviz_silhouette
Visualize a UMAP or t-SNE embedding	fviz_tsne fviz_umap
Extract the results for rows/columns - CA	get_ca get_ca_col get_ca_row
Assessing Clustering Tendency	get_clust_tendency
Extract the results for individuals and variables - FAMD	get_famd get_famd_ind get_famd_var
Extract the results for individuals/variables/group/partial axes - HMFA	get_hmfa get_hmfa_ind get_hmfa_partial get_hmfa_var
Extract the results for individuals/variables - MCA	get_mca get_mca_ind get_mca_var
Extract the results for individuals/variables/group/partial axes - MFA	get_mfa get_mfa_ind get_mfa_partial_axes get_mfa_var
Extract the results for individuals/variables - PCA	get_pca get_pca_ind get_pca_var
Computes Hierarchical Clustering and Cut the Tree	hcut
Hierarchical k-means clustering	hkmeans hkmeans_tree print.hkmeans
House tasks contingency table	housetasks
Map legacy FactoMineR category names to current labels	map_factominer_legacy_names
A dataset containing clusters of multiple shapes	multishapes
Poison	poison
Print method for an object of class factoextra	print.factoextra
A clean publication theme for factoextra plots	theme_factoextra

Package: factoextra 2.2.0.9000

factoextra: Extract and Visualize the Results of Multivariate Data Analyses

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