Exploratory multivariate analysis by example using R [electronic resource]

• 作者： Husson, François.
• 其他作者：
  • Lê, Sébastien.
  • Pagès, Jérôme.
• 其他題名：
  • Series in computer science and data analysis
• 出版： Boca Raton : CRC Press
• 叢書名： Chapman & Hall/CRC computer science and data analysis series
• 主題： Multivariate analysis , R (Computer program language) , Electronic books.
• ISBN： 9781439835814 (electronic bk.) 、 1439835810 (electronic bk.)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Includes bibliographical references and index. 1. Principal component analysis (PCA) -- 2. Correspondence analysis (CA) -- 3. Multiple correspondence analysis (MCA) -- 4. Clustering. "A Chapman & Hall book".
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• 摘要註: "An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading the discussion of the methods and lots of graphics to emphasize visualization. They present the concepts in the most intuitive way possible, keeping mathematical content to a minimum or relegating it to the appendices. The book includes examples that use real data from a range of scientific disciplines and implemented using an R package developed by the author Provided by publisher.
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