Exploratory Multivariate Analysis by Example Using R (Chapman & Hall/CRC Computer Science & Data Analysis) - Hardcover

Husson, Francois; Le, Sebastien; Pagès, Jérôme

Hardcover

ISBN 10: 1439835802 ISBN 13: 9781439835807

Verlag: CRC Press, 2010

Inhaltsangabe

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) 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. Within this framework, they present the principles, indicators, and ways of representing and visualizing objects that are common to the exploratory methods. The authors show how to use categorical variables in a PCA context in which variables are quantitative, how to handle more than two categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context in which variables are categorical. They also illustrate the methods and the ways they can be exploited using examples from various fields.

Throughout the text, each result correlates with an R command accessible in the FactoMineR package developed by the authors. All of the data sets and code are available at http://factominer.free.fr/book

By using the theory, examples, and software presented in this book, readers will be fully equipped to tackle real-life multivariate data.

Über diesen Titel

Über die Autorin bzw. den Autor

François Husson is an assistant professor of statistics at Agrocampus Ouest in France. Sébastien Lê is an assistant professor of statistics at Agrocampus Ouest in France. Jérôme Pagès is a professor of statistics and head of the applied mathematics department at Agrocampus Ouest in France.

They are all developers of the FactoMineR package dedicated to multivariate exploratory data analysis.

Details zur Ausgabe

• Verlag: CRC Press
• Erscheinungsdatum: 2010
• Sprache: Englisch
• ISBN 10: 1439835802
• ISBN 13: 9781439835807
• Einband: Tapa dura
• Auflage: 1
• Anzahl der Seiten: 240
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar