factoextra: Extract and Visualize the Results of 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.
| Version: |
1.0.7 |
| Depends: |
R (≥ 3.1.2), ggplot2 (≥ 2.2.0) |
| Imports: |
abind, cluster, dendextend, FactoMineR, ggpubr (≥ 0.1.5), grid, stats, reshape2, ggrepel, tidyr |
| Suggests: |
ade4, ca, igraph, MASS, knitr, mclust |
| Published: |
2020-04-01 |
| Author: |
Alboukadel Kassambara [aut, cre],
Fabian Mundt [aut] |
| Maintainer: |
Alboukadel Kassambara <alboukadel.kassambara at gmail.com> |
| BugReports: |
https://github.com/kassambara/factoextra/issues |
| License: |
GPL-2 |
| URL: |
http://www.sthda.com/english/rpkgs/factoextra |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| In views: |
Cluster |
| CRAN checks: |
factoextra results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: |
bibliometrix, Biopeak, CINNA, conclus, CytoGLMM, disto, fmf, GEOexplorer, ggheatmap, ihclust, immcp, immunarch, InterCellar, kissDE, LDABiplots, LinearDetect, metaCluster, MSstatsLiP, musicatk, OMICsPCA, PALMO, PhageCocktail, powdR, protGear, rKOMICS, sejmRP, SensMap, statgenHTP, statVisual, SurvHiDim, wilson |
| Reverse suggests: |
artMS, COTAN, DAPAR, eclust, geodiv, longmixr, mlr3viz, parameters, PLNmodels, ppclust, PSMatch, see, SSLR, Statsomat, tinyarray, wrGraph |
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