Package: factoextra
Type: Package
Title: Extract and Visualize the Results of Multivariate Data Analyses
Version: 1.0.3
Date: 2016-03-31
Authors@R: c(
    person("Alboukadel", "Kassambara", role = c("aut", "cre"), email = "alboukadel.kassambara@gmail.com"),
    person("Fabian", "Mundt", role = c("aut"), email = "f.mundt@inventionate.de")
    )
Description: 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),
    '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. 
License: GPL-2
LazyData: true
Depends: R (>= 3.1.0), ggplot2
Imports: cluster, dendextend, grid, stats, reshape2, ggrepel, abind
Suggests: ade4, ca, FactoMineR, MASS, knitr
URL: http://www.sthda.com/english/rpkgs/factoextra
BugReports: https://github.com/kassambara/factoextra/issues
Collate: 'cluster_utilities.R' 'decathlon2.R' 'eigenvalue.R'
        'utilities.R' 'dist.R' 'fviz_dend.R' 'hcut.R'
        'print.factoextra.R' 'get_pca.R' 'fviz_cluster.R' 'eclust.R'
        'facto_summarize.R' 'fviz_add.R' 'fviz_ca.R' 'fviz_contrib.R'
        'fviz_cos2.R' 'get_hmfa.R' 'fviz_hmfa.R' 'get_mca.R'
        'fviz_mca.R' 'get_mfa.R' 'fviz_mfa.R' 'fviz_nbclust.R'
        'fviz_pca.R' 'fviz_silhouette.R' 'get_ca.R'
        'get_clust_tendency.R' 'hkmeans.R' 'housetasks.R'
        'multishapes.R' 'poison.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-26 13:11:54 UTC; alboukadel
Author: Alboukadel Kassambara [aut, cre],
  Fabian Mundt [aut]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>
Repository: CRAN
Date/Publication: 2016-04-26 16:50:39
