An R and S-Plus® Companion to Multivariate Analysis PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download An R and S-Plus® Companion to Multivariate Analysis PDF full book. Access full book title An R and S-Plus® Companion to Multivariate Analysis by Brian S. Everitt. Download full books in PDF and EPUB format.
Author: Brian S. Everitt
Publisher: Springer Science & Business Media
ISBN: 1846281245
Category : Mathematics
Languages : en
Pages : 232
Get Book Here
Book Description
Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he’s got it right.
Author: Brian S. Everitt
Publisher: Springer Science & Business Media
ISBN: 1846281245
Category : Mathematics
Languages : en
Pages : 232
Get Book Here
Book Description
Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he’s got it right.
Author: Brian Everitt
Publisher: Springer Science & Business Media
ISBN: 1852338822
Category : Computers
Languages : en
Pages : 231
Get Book Here
Book Description
Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he’s got it right.
Author: Alain Zuur
Publisher: Springer Science & Business Media
ISBN: 0387938370
Category : Computers
Languages : en
Pages : 228
Get Book Here
Book Description
Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R.
Author: Brian S. Everitt
Publisher: John Wiley & Sons
ISBN: 0470978449
Category : Mathematics
Languages : en
Pages : 302
Get Book Here
Book Description
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics. This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis. Key Features: Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies./li> Updates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data Practitioners and researchers working in cluster analysis and data analysis will benefit from this book.
Author: Walter W. Piegorsch
Publisher: John Wiley & Sons
ISBN: 1119043573
Category : Mathematics
Languages : en
Pages : 488
Get Book Here
Book Description
A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development and interactive, linkable internet software. This book presents a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of statistics and probability. It includes an overview of probability and statistical distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences. The majority of the text extends beyond these introductory topics, however, to supervised learning in linear regression, generalized linear models, and classification analytics. Finally, unsupervised learning via dimension reduction, cluster analysis, and market basket analysis are introduced. Extensive examples using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others. Statistical Data Analytics: Focuses on methods critically used in data mining and statistical informatics. Coherently describes the methods at an introductory level, with extensions to selected intermediate and advanced techniques. Provides informative, technical details for the highlighted methods. Employs the open-source R language as the computational vehicle – along with its burgeoning collection of online packages – to illustrate many of the analyses contained in the book. Concludes each chapter with a range of interesting and challenging homework exercises using actual data from a variety of informatic application areas. This book will appeal as a classroom or training text to intermediate and advanced undergraduates, and to beginning graduate students, with sufficient background in calculus and matrix algebra. It will also serve as a source-book on the foundations of statistical informatics and data analytics to practitioners who regularly apply statistical learning to their modern data.
Author: Gerald J. Donker
Publisher: Society of Biblical Lit
ISBN: 1589835506
Category : Biography & Autobiography
Languages : en
Pages : 391
Get Book Here
Book Description
The text-critical study of the Apostolos (all of the New Testament apart from the Gospels) of the fourth-century Greek Father Athanasius of Alexandria has two aims in view: one analytical and one methodological. An initial review of Athanasius' life and writings and a survey of the Alexandrian text-type precede an analysis of Athanasius' text to determine its classification within the major New Testament text-types, and particularly its suspected Alexandrian character. The book also compares the results of methods traditionally used on the texts of the Fathers with the use of an alternative and advanced method, multivariate analysis. Unlike quantitative and group profile analyses, multivariate analysis utilizes not just a single dimension but the full dimensionality of the source data.
Author: Ken A. Aho
Publisher: CRC Press
ISBN: 1439873399
Category : Mathematics
Languages : en
Pages : 598
Get Book Here
Book Description
Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts. R code and other materials are available online.
Author: Wang, Yun
Publisher: IGI Global
ISBN: 1599047101
Category : Computers
Languages : en
Pages : 475
Get Book Here
Book Description
Provides statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covers topics such as network traffic data, anomaly intrusion detection, and prediction events.
Author: Robert J. Podesva
Publisher: Cambridge University Press
ISBN: 1107653312
Category : Language Arts & Disciplines
Languages : en
Pages : 545
Get Book Here
Book Description
A comprehensive guide to conducting research projects in linguistics, this book provides a complete training in state-of-the-art data collection, processing, and analysis techniques. The book follows the structure of a research project, guiding the reader through the steps involved in collecting and processing data, and providing a solid foundation for linguistic analysis. All major research methods are covered, each by a leading expert. Rather than focusing on narrow specializations, the text fosters interdisciplinarity, with many chapters focusing on shared methods such as sampling, experimental design, transcription and constructing an argument. Highly practical, the book offers helpful tips on how and where to get started, depending on the nature of the research question. The only book that covers the full range of methods used across the field, this student-friendly text is also a helpful reference source for the more experienced researcher and current practitioner.
Author: Robert Podesva
Publisher: Cambridge University Press
ISBN: 1107014336
Category : Language Arts & Disciplines
Languages : en
Pages : 545
Get Book Here
Book Description
This is the first book to cover the range of research methods currently employed across the field of linguistics.
