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“This book is not only an excellent introductory resource of multivariate statistics using R, but also provides a complete coverage of multivariate statistics. I really love this book and look forward to using it for my stats courses.”
“The use of the programming language R in a meaningful way is a great strength of this book, as is the associated emphasis on matrix algebra. Also, the addition of brief biographies of key statisticians makes this book more interesting. Finally, the range and scope of techniques that are presented is impressive.”
“The text is down-to-earth and practical, with a straightforward approach to communicating a set of procedures for analyzing data.”
“[…]I found the directions very clear and was able to run the syntax and get the output very easily.”
I adopted this book as the supplementary book to my course. This book, in my opinion, has the advantage of being technical (compared to Filed's books) which makes it more attractive to stronger students who want to have deeper understanding.