<P>Full of real-world case studies and practical advice, <STRONG>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 ar
Exploratory Multivariate Analysis by Example using R
✍ Scribed by François Husson, Sébastien Lê, Jérôme Pagès
- Publisher
- CRC
- Year
- 2017
- Tongue
- English
- Leaves
- 257
- Category
- Library
No coin nor oath required. For personal study only.
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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 quantitati
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<P>Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to
"This textbook will introduce exploratory data analysis (EDA) and will cover the range of interesting features we can expect to find in data. The book will also explore the practical mechanics of using R to do EDA. Based on the author's course at the University of Connecticut, the book assumes no pr