Overview
- Offers an applied approach to multivariate statistics
- Introduces R and draws upon R for statistical analyses and computing
- Contains exercises, full code to carry out practical examples, and selected solutions in an appendix
Part of the book series: Statistics for Biology and Health (SBH)
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About this book
Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary.
New to this edition are chapters devoted to longitudinal studies and theclustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.
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Keywords
Table of contents (14 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Daniel Zelterman is professor in the department of biostatistics at Yale University. His research areas include computational statistics, models for discrete valued data, and the design of clinical trials in cancer studies. In his spare time he plays oboe and bassoon in amateur orchestral groups and has backpacked hundreds of miles of the Appalachian Trail.
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Bibliographic Information
Book Title: Applied Multivariate Statistics with R
Authors: Daniel Zelterman
Series Title: Statistics for Biology and Health
DOI: https://doi.org/10.1007/978-3-031-13005-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-13004-5Published: 21 January 2023
Softcover ISBN: 978-3-031-13007-6Published: 21 January 2024
eBook ISBN: 978-3-031-13005-2Published: 20 January 2023
Series ISSN: 1431-8776
Series E-ISSN: 2197-5671
Edition Number: 2
Number of Pages: XIX, 463
Number of Illustrations: 14 b/w illustrations, 158 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Biostatistics, Epidemiology, Bioinformatics, Systems Biology