Source: r-cran-factoextra Standards-Version: 4.7.4 Maintainer: Debian R Packages Maintainers Uploaders: Steffen Moeller , Section: gnu-r Testsuite: autopkgtest-pkg-r Build-Depends: debhelper-compat (= 14), dh-r, r-base-dev, r-cran-ggplot2 (>= 3.5.2), r-cran-cluster (>= 2.1.8.2), r-cran-dendextend (>= 1.19.1), r-cran-factominer (>= 2.13), r-cran-ggpubr (>= 0.6.3), r-cran-rlang (>= 1.1.7), r-cran-ggrepel (>= 0.9.5), r-pkg-team-core-architecture, Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-factoextra Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-factoextra.git Homepage: https://cran.r-project.org/package=factoextra Package: r-cran-factoextra Architecture: all Depends: ${R:Depends}, ${misc:Depends}, r-pkg-team-core-architecture, Recommends: ${R:Recommends}, Suggests: ${R:Suggests}, Description: 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.