· 2016
factoextra: Extract and Visualize the Results of Multivariate Data Analyses
- 3,321citations
- 2016year
Short summary
The factoextra R package simplifies extracting and visualizing results from multivariate data analyses like PCA, CA, MCA, FAMD, MFA, and HMFA.
AI-generated from the title and abstract; the full text is not read.
Key points
- factoextra provides functions for PCA, CA, MCA, FAMD, MFA, and HMFA.
- It extracts and visualizes results from these multivariate analyses.
- The package uses ggplot2 for elegant data visualization.
- It also simplifies steps in clustering analysis.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source., 2016 · DOI ↗
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Field: Information Systems
Information SystemsComputer Science