[PDF] Modern Regression Techniques Using R

Modern Regression Techniques Using R PDF
Author: Daniel B Wright
Publisher: SAGE
ISBN: 1847879020
Size: 53.94 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 204
View: 917

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Modern Regression Techniques Using R

by Daniel B Wright, release date 2009-03-05, Modern Regression Techniques Using R Books available in PDF, EPUB, Mobi Format. Download Modern Regression Techniques Using R books, In a way that is refreshingly engaging and readable, Daniel B. Wright and Kamala London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books’ webpage via the SAGE homepage. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested using a range of real research examples conducted by the authors in every chapter.




[PDF] Modern Regression Techniques Using R

Modern Regression Techniques Using R PDF
Author: Daniel B Wright
Publisher: SAGE
ISBN: 1446244105
Size: 14.88 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 216
View: 6778

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Modern Regression Techniques Using R

by Daniel B Wright, release date 2009-02-19, Modern Regression Techniques Using R Books available in PDF, EPUB, Mobi Format. Download Modern Regression Techniques Using R books, Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way that is refreshingly engaging and readable, Wright and London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books' webpage: www.sagepub.co.uk/wrightandlondon. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested out using a range of real research examples conducted by the authors in every chapter. Given the wide coverage of techniques, this book will be essential reading for any advanced undergraduate and graduate student (particularly in psychology) and for more experienced researchers wanting to learn how to apply some of the more recent statistical techniques to their datasets. The Authors are donating all royalties from the book to the American Partnership for Eosinophilic Disorders.




[PDF] A Modern Approach To Regression With R

A Modern Approach to Regression with R PDF
Author: Simon Sheather
Publisher: Springer Science & Business Media
ISBN: 0387096078
Size: 44.14 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 393
View: 2912

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A Modern Approach To Regression With R

by Simon Sheather, release date 2009-03-11, A Modern Approach To Regression With R Books available in PDF, EPUB, Mobi Format. Download A Modern Approach To Regression With R books, This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.




[PDF] Sozialwissenschaftliche Datenanalyse Mit R

Sozialwissenschaftliche Datenanalyse mit R PDF
Author: Katharina Manderscheid
Publisher: Springer-Verlag
ISBN: 3531941852
Size: 31.77 MB
Format: PDF, ePub, Mobi
Category : Social Science
Languages : de
Pages : 236
View: 3084

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Sozialwissenschaftliche Datenanalyse Mit R

by Katharina Manderscheid, release date 2011-11-11, Sozialwissenschaftliche Datenanalyse Mit R Books available in PDF, EPUB, Mobi Format. Download Sozialwissenschaftliche Datenanalyse Mit R books, R ist eine kostenlos verfügbare OpenSource Programmiersprache und eine Arbeitsumgebung für statistische Datenanalyse und graphische Darstellungen und findet seit mehreren Jahren Eingang in verschiedenste Disziplinen. Von besonderem Nutzen ist R für sozialwissenschaftliche ForscherInnen, da hier neben den Standardtechniken eher spezifische Verfahren mit stärker visuellem Anteil, wie die Korrespondenzanalyse, integriert sind. Aber auch für tabellarische Darstellungen von Auswertungsergebnissen, die für Forschungsberichte und Veröffentlichungen verwendet werden können, erweist sich R flexibel und anpassungsfähig.




[PDF] Tracking Environmental Change Using Lake Sediments

Tracking Environmental Change Using Lake Sediments PDF
Author: John B.H. Birks
Publisher: Springer Science & Business Media
ISBN: 9400727445
Size: 51.22 MB
Format: PDF, Docs
Category : Science
Languages : en
Pages : 745
View: 5175

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Tracking Environmental Change Using Lake Sediments

by John B.H. Birks, release date 2012-04-08, Tracking Environmental Change Using Lake Sediments Books available in PDF, EPUB, Mobi Format. Download Tracking Environmental Change Using Lake Sediments books, 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.




[PDF] Tracking Environmental Change Using Lake Sediments

Tracking Environmental Change Using Lake Sediments PDF
Author: H. John B. Birks
Publisher: Springer Science & Business Media
ISBN: 9400727453
Size: 22.96 MB
Format: PDF, ePub, Mobi
Category : Science
Languages : en
Pages : 745
View: 3513

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Tracking Environmental Change Using Lake Sediments

by H. John B. Birks, release date 2012-04-06, Tracking Environmental Change Using Lake Sediments Books available in PDF, EPUB, Mobi Format. Download Tracking Environmental Change Using Lake Sediments books, 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.




[PDF] Advances In Social Science Research Using R

Advances in Social Science Research Using R PDF
Author: Hrishikesh D. Vinod
Publisher: Springer Science & Business Media
ISBN: 1441917640
Size: 76.84 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : en
Pages : 205
View: 2684

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Advances In Social Science Research Using R

by Hrishikesh D. Vinod, release date 2009-12-24, Advances In Social Science Research Using R Books available in PDF, EPUB, Mobi Format. Download Advances In Social Science Research Using R books, Quantitative social science research has been expanding due to the ava- ability of computers and data over the past few decades. Yet the textbooks and supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the l- gua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages such as “car” [1] developed by social scientists are popular among all scientists. An early 2009 article [3] in the New York Times notes that statisticians, engineers and scientists without computer programming skills ?nd R “easy to use.” A common language R can readily promote deeper mutual respect and understanding of unique problems facing quantitative work in various social sciences. Often the solutions developed in one ?eld can be extended and used in many ?elds. This book promotes just such exchange of ideas across many social sciences. Since Springer has played a leadership role in promoting R, we are fortunate to have Springer publish this book. A Conference on Quantitative Social Science Research Using R was held in New York City at the Lincoln Center campus of Fordham University, June 18–19, 2009. This book contains selected papers presented at the conference, representing the “Proceedings” of the conference.




[PDF] Theory And Methods In Social Research

Theory and Methods in Social Research PDF
Author: Bridget Somekh
Publisher: SAGE
ISBN: 9781446246320
Size: 23.43 MB
Format: PDF, Mobi
Category : Social Science
Languages : en
Pages : 368
View: 5303

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Theory And Methods In Social Research

by Bridget Somekh, release date 2011-01-13, Theory And Methods In Social Research Books available in PDF, EPUB, Mobi Format. Download Theory And Methods In Social Research books, This new edition provides a scholarly and readable introduction to all the key qualitative and quantitative research methodologies and methods, enabling postgraduate and masters-level students and new researchers to reflect on which ones suit their needs and to receive guidance on how to find out more. With chapters written by experienced research practitioners, this second edition has been extensively expanded and updated. There are seven completely new chapters, as well as: - new material on literature reviews - a new introduction to quantitative methods - an expanded glossary - Weblinks with free access to a wide range of peer-reviewed journal articles - an annotated bibliography with conversational notes from authors in each chapter. This book will act as your 'expert friend' throughout your research project, providing advice, explaining key concepts and the implications for your research design, and illustrating these with examples of real research studies.




[PDF] Learning Statistics Using R

Learning Statistics Using R PDF
Author: Randall E. Schumacker
Publisher: SAGE Publications
ISBN: 148332477X
Size: 65.83 MB
Format: PDF
Category : Social Science
Languages : en
Pages : 648
View: 6813

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Learning Statistics Using R

by Randall E. Schumacker, release date 2014-01-28, Learning Statistics Using R Books available in PDF, EPUB, Mobi Format. Download Learning Statistics Using R books, Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, Learning Statistics Using R shows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions. Lecturers - contact your local SAGE representative to discuss your course needs or to request an inspection copy. Randall E. Schumacker’s comprehensive book describes in detail the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process. Learning Statistics Using R covers data input from vectors, arrays, matrices and data frames, as well as the input of data sets from SPSS, SAS, STATA and other software packages. Schumacker’s text provides the freedom to effectively calculate, manipulate, and graphically display data, using R, on different computer operating systems without the expense of commercial software. Learning Statistics Using R places statistics within the framework of conducting research, where statistical research hypotheses can be directly addressed. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers′ understanding of statistics through statistical computing and modeling.