Practical Guide To Principal Component Methods ... — Free & Authentic
The book categorizes methods based on the types of data you are analyzing:
: 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 Practical Guide To Principal Component Methods ...
: Factor Analysis of Mixed Data (FAMD) and Multiple Factor Analysis (MFA) for datasets with both continuous and categorical variables. The book categorizes methods based on the types
: The book heavily utilizes the author's own factoextra R package , which creates elegant, ggplot2 -based graphs to help interpret results. which creates elegant

