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An Introduction to Applied Multivariate Analysis with R (Use R!),New
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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 helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos.An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.
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- Q: What is the primary focus of 'An Introduction to Applied Multivariate Analysis with R'? A: The book primarily focuses on multivariate analysis techniques, which are essential for examining multiple measurements or observations taken from various data units simultaneously.
- Q: Who is the author of this book? A: The author of 'An Introduction to Applied Multivariate Analysis with R' is Brian Everitt.
- Q: What software is used in this book for multivariate analysis? A: The book utilizes R software to apply various multivariate analysis techniques and provides examples of R code.
- Q: How many pages does this book have? A: The book contains 288 pages.
- Q: What is the publication date of this book? A: The book was published on May 3, 2011.
- Q: Is the book suitable for beginners in statistics? A: Yes, the book is designed to help readers understand multivariate analysis methods, including applications suitable for those new to the subject.
- Q: What type of binding does this book have? A: This book is available in paperback binding.
- Q: Can this book help with graphical representations of data? A: Yes, the book explores techniques for graphical representation of multivariate data using R software.
- Q: Is this book focused on theoretical or applied statistics? A: The book is focused on applied statistics, specifically how to implement multivariate analysis techniques in practical scenarios.
- Q: What edition of the book is available? A: The book is available in its 2011 edition.