Practical Guide To Principal Component Methods ... ❲FREE · Checklist❳
: Factor Analysis of Mixed Data (FAMD) and Multiple Factor Analysis (MFA) for datasets with both continuous and categorical variables.
: Principal Component Analysis (PCA) for quantitative variables. 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 : Factor Analysis of Mixed Data (FAMD) and
: It is structured with short, self-contained chapters and "R lab" sections that walk through real-world applications and tested code examples. Core Methods Covered which creates elegant
The book categorizes methods based on the types of data you are analyzing:
: The book heavily utilizes the author's own factoextra R package , which creates elegant, ggplot2 -based graphs to help interpret results.
