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Paket: r-cran-factoextra (1.0.7-2)

GNU R extract and visualize multivariate data analyses

Provides some 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) functions from different R packages. It contains also functions for simplifying some clustering analysis steps and provides 'ggplot2' - based elegant data visualization.

Andra paket besläktade med r-cran-factoextra

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  • dep: r-api-4.0
    virtuellt paket som tillhandahålls av r-base-core
  • dep: r-base-core (>= 4.0.2-1build1)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-abind
    GNU R abind multi-dimensional array combination function
  • dep: r-cran-cluster
    GNU R package for cluster analysis by Rousseeuw et al
  • dep: r-cran-dendextend
    Extending 'dendrogram' Functionality in GNU R
  • dep: r-cran-factominer
    Multivariate Exploratory Data Analysis and Data Mining
  • dep: r-cran-ggplot2 (>= 2.2.0)
    implementation of the Grammar of Graphics
  • dep: r-cran-ggpubr (>= 0.1.5)
    GNU R ggplot2 based publication ready plots
  • dep: r-cran-ggrepel
    auto-position non-overlapping text labels in plots
  • dep: r-cran-reshape2
    Flexibly reshape data: a reboot of the reshape package
  • dep: r-cran-tidyr
    GNU R package to easily tidy data
  • sug: r-cran-ade4
    GNU R analysis of ecological data
  • sug: r-cran-ca
    GNU R package for simple, multiple and joint correspondence analysis
  • sug: r-cran-igraph
    GNU R network analysis and visualization
  • sug: r-cran-knitr
    GNU R package for dynamic report generation using Literate Programming
  • sug: r-cran-mass
    GNU R package of Venables and Ripley's MASS
  • sug: r-cran-mclust
    Gaussian Mixture Modelling for Model-Based Clustering

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