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factoextra: Extract and Visualize the Results of Multivariate Data Analyses
Open accessAbstract
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.
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Research works printed but not linked: 3
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Metadata
- Authors
- Kassambara, A., & Mundt, F.
- Venue
- CRAN: Contributed Packages
- Publisher
- The R Foundation
- Published
- 2016-04-26
- OpenAlex
- W4399538195
- Cited by
- 3,295
- References
- 0
- Type
- dataset
- Language
- en
- Open access
- gold
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
