An R And S Plus Companion To Multivariate Analysis


An R And S Plus Companion To Multivariate Analysis
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An R And S Plus Companion To Multivariate Analysis


An R And S Plus Companion To Multivariate Analysis
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Author : Brian Everitt
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-03-17

An R And S Plus Companion To Multivariate Analysis written by Brian Everitt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-03-17 with Computers categories.


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.



An R And S Plus Companion To Multivariate Analysis


An R And S Plus Companion To Multivariate Analysis
DOWNLOAD

Author : Brian Everitt
language : en
Publisher:
Release Date : 2005

An R And S Plus Companion To Multivariate Analysis written by Brian Everitt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematical statistics categories.




An R And S Plus Companion To Applied Regression


An R And S Plus Companion To Applied Regression
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Author : John Fox
language : en
Publisher: SAGE
Release Date : 2002-06-05

An R And S Plus Companion To Applied Regression written by John Fox and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-06-05 with Mathematics categories.


"This book fits right into a needed niche: rigorous enough to give full explanation of the power of the S language, yet accessible enough to assign to social science graduate students without fear of intimidation. It is a tremendous balance of applied statistical "firepower" and thoughtful explanation. It meets all of the important mechanical needs: each example is given in detail, code and data are freely available, and the nuances of models are given rather than just the bare essentials. It also meets some important theoretical needs: linear models, categorical data analysis, an introduction to applying GLMs, a discussion of model diagnostics, and useful instructions on writing customized functions. " —JEFF GILL, University of Florida, Gainesville



An R And S Plus Companion To Multivariate Analysis


An R And S Plus Companion To Multivariate Analysis
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Author : Brian S. Everitt
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-30

An R And S Plus Companion To Multivariate Analysis written by Brian S. Everitt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-30 with Mathematics categories.


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.



Using R With Multivariate Statistics


Using R With Multivariate Statistics
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Author : Randall E. Schumacker
language : en
Publisher: SAGE Publications
Release Date : 2015-07-06

Using R With Multivariate Statistics written by Randall E. Schumacker and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-06 with Social Science categories.


Using R with Multivariate Statistics is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.



A Beginner S Guide To R


A Beginner S Guide To R
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Author : Alain Zuur
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-24

A Beginner S Guide To R written by Alain Zuur and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-24 with Computers categories.


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.



An R Companion For Applied Statistics Ii


An R Companion For Applied Statistics Ii
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Author : Danney Rasco
language : en
Publisher: SAGE Publications
Release Date : 2020-06-26

An R Companion For Applied Statistics Ii written by Danney Rasco and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-26 with Social Science categories.


An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into manageable chunks in order to help students learn how to use R to analyze multivariate data. The book focuses on the statistics generally covered in an intermediate or multivariate statistics course and provides one or two ways to run each analysis in R. The book has been designed to be an R companion to Rebecca M. Warner′s Applied Statistics II: Third Edition, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide for a multivariate statistics course, without reference to the Warner text. Datasets and scripts to run the examples are provided on an accompanying website.



An R Companion To Applied Regression


An R Companion To Applied Regression
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Author : John Fox
language : en
Publisher: SAGE Publications
Release Date : 2018-09-27

An R Companion To Applied Regression written by John Fox and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Social Science categories.


An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this new edition, and include coverage of RStudio and R Markdown.



Introduction To Statistics Through Resampling Methods And R S Plus


Introduction To Statistics Through Resampling Methods And R S Plus
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Author : Phillip I. Good
language : en
Publisher: John Wiley & Sons
Release Date : 2012-01-20

Introduction To Statistics Through Resampling Methods And R S Plus written by Phillip I. Good and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-20 with Mathematics categories.


Stimulate learning through discovery With its emphasis on the discovery method, this book allows readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers will quickly master and learn to apply statistical methods, such as bootstrap, decision trees, and permutations, to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: Tests and estimation procedures for one, two, and multiple samples Model building Multivariate analysis Complex experimental design Throughout the text, the R programming language is used to illustrate new concepts and assist readers in completing exercises. Readers may download the freely available R programming language from the Internet or take advantage of the menu-driven S-PLUS® program. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided: More than two hundred exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills Companion FTP site provides access to all data sets and programs discussed in the text Dozens of thought-provoking questions in the final chapter, Problem Solving, assist readers in applying statistics to address real-life problems Instructor's manual provides answers to exercises Helpful appendices include an introduction to S-PLUS® features This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited for both students and practitioners.



Tracking Environmental Change Using Lake Sediments


Tracking Environmental Change Using Lake Sediments
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Author : John B.H. Birks
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-04-08

Tracking Environmental Change Using Lake Sediments written by John B.H. Birks and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-08 with Science categories.


Numerical and statistical methods have rapidly become part of a palaeolimnologist’s tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. ​ Visit http://extras.springer.com the Springer's Extras website to view data-sets, figures, software, and R scripts used or mentioned in this book.