Exploratory multivariate analysis by example using R

Full of real-world case studies and practical advice, this book focuses on four fundamental methods of multivariate exploratory data analysis that are mostsuitable for applications. It covers principal component analysis when variables are quantitative, correspondence analysis and multiple correspondence analysis when variables are categorical, and hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. All of the data sets and code are available on the book¿s website.

• ISBN: 978-1-4398-3580-7
• Editorial: CRC Press
• Encuadernacion: Cartoné
• Páginas: 240
• Fecha Publicación: 17/11/2010
• Nº Volúmenes: 1
• Idioma: Inglés