Principal Component Methods in R
A Practical Guide to Multivariate Analysis
Alboukadel Kassambara
A book-length lesson series
Principal Component Methods in R
A Practical Guide to Multivariate Analysis
See the structure in high-dimensional data — PCA, correspondence analysis, and the rest of the multivariate toolkit.
11 chaptersruns in your browser
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Jump straight into a few key chapters, or read the whole book below.
The book is the free curriculum
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- 01Principal Component Analysis
- 02prcomp vs princomp
- 03Correspondence Analysis
- 04Multiple Correspondence Analysis
- 05Factor Analysis of Mixed Data
- 06Multiple Factor Analysis
- 07HCPC
- 08Multidimensional Scaling
- 09Factor Analysis
- 10UMAP
- 11t-SNE
Every chapter is free to read and run online.
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You already run his code
Alboukadel Kassambara wrote the R packages a generation of data scientists reach for — ggpubr, factoextra, survminer, rstatix, ggcorrplot. More than 50 million installs. This book is the source.
50,000,000
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Frequently asked questions
- Is the book really free to read?
- Yes. Every chapter is a free, runnable lesson online — the complete book, no paywall on understanding. Pro adds the offline typeset PDF/ePub, Prova on your own data, certificates, and more.
- Can I buy just this one book?
- The offline PDF is a Pro perk, not sold on its own. If you want a single-book, one-time purchase, the ebook is available on Kindle. Everything else lives in Pro.
- What formats does the Pro book come in?
- A typeset PDF at launch, with ePub as a fast-follow — both watermarked to your account and auto-updated from the same source as the free lessons.
- Do the books keep getting updated?
- Yes. Each book is generated from the living lessons, so your offline copy tracks the latest edition — no frozen, out-of-date PDF.
- I bought this book before — what happens to my purchase?
- Your past purchase and Kindle copy stay yours. Pro is a new, recurring option that adds the living online book plus the whole platform.
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