: Principal Component Analysis (PCA) for quantitative variables.
: The book heavily utilizes the author's own factoextra R package , which creates elegant, ggplot2 -based graphs to help interpret results. Practical Guide To Principal Component Methods ...
: Specifically those looking to move beyond "old-school" base R graphics to more modern, publication-ready visualizations. Practical Guide To Principal Component Methods in R which creates elegant
: Hierarchical Clustering on Principal Components (HCPC), which combines dimensionality reduction with clustering techniques. Who Should Read It Practical Guide To Principal Component Methods ...
The book categorizes methods based on the types of data you are analyzing:
: It simplifies complex statistical concepts into digestible pieces, focusing on intuitive explanations rather than advanced theory.