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Brian Everitt - An Introduction to Applied Multivariate Analysis with R - 9781441996497 - V9781441996497
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An Introduction to Applied Multivariate Analysis with R

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Description for An Introduction to Applied Multivariate Analysis with R Paperback. The majority of data sets collected by researchers in all disciplines are multivariate. This book comprehensively covers a variety of multivariate analysis techniques using R. It provides extensive examples of R code used to apply the multivariate techniques. Series: Use R!. Num Pages: 274 pages, 92 black & white illustrations, 21 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 236 x 155 x 16. Weight in Grams: 424.
The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be ... Read more

Product Details

Publisher
Springer-Verlag New York Inc.
Format
Paperback
Publication date
2011
Series
Use R!
Condition
New
Weight
424g
Number of Pages
274
Place of Publication
New York, NY, United States
ISBN
9781441996497
SKU
V9781441996497
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Brian Everitt
Brian Everitt is Professor Emeritus at King's College, London. He is the author of over 50 books on statistics. Torsten Hothorn is Professor of Biostatistics in the Faculty of Mathematics, Computer Science and Statistics at Ludwig-Maximilians-Universitat Munchen in Germany.

Reviews for An Introduction to Applied Multivariate Analysis with R
This book covers basic to advanced approaches for the analysis of multivariate data in R. ... All chapters end with a summary and exercises, making this book an excellent addition to applied statistics courses. The approach, numerous examples and fragments of code make it accessible to undergraduate and postgraduate students alike, as well as researchers ... . (Irina Ioana ... Read more

Goodreads reviews for An Introduction to Applied Multivariate Analysis with R


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