The R Book

Author: Michael J. Crawley

Publisher: John Wiley & Sons

ISBN: 1118448960

Category: Mathematics

Page: 1080

View: 5135


Hugely successful and popular text presenting an extensiveand comprehensive guide for all R users The R language is recognized as one of the most powerful andflexible statistical software packages, enabling users to applymany statistical techniques that would be impossible without suchsoftware to help implement such large data sets. R has become anessential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphicsthroughout. Introduces a clear structure with numbered section headings tohelp readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis andMeta-Analysis. Presents a fully revised and updated bibliography and referencesection. Is supported by an accompanying website allowing examples fromthe text to be run by the user. Praise for the first edition: ‘…if you are an R user or wannabe R user, this textis the one that should be on your shelf. The breadth oftopics covered is unsurpassed when it comes to texts on dataanalysis in R.’ (The American Statistician, August2008) ‘The High-level software language of R is setting standardsin quantitative analysis. And now anybody can get to grips with itthanks to The R Book…’ (Professional Pensions,July 2007)

The R Software

Fundamentals of Programming and Statistical Analysis

Author: Pierre Lafaye de Micheaux,Rémy Drouilhet,Benoit Liquet

Publisher: Springer Science & Business

ISBN: 1461490200

Category: Computers

Page: 628

View: 8026


The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance. The last chapter in this part deals with oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book.

The R Primer

Author: Claus Thorn Ekstrom

Publisher: CRC Press

ISBN: 1439862087

Category: Mathematics

Page: 299

View: 4954


Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software. Rather than explore the many options available for every command as well as the ever-increasing number of packages, the book focuses on the basics of data preparation and analysis and gives examples that can be used as a starting point. The numerous examples illustrate a specific situation, topic, or problem, including data importing, data management, classical statistical analyses, and high-quality graphics production. Each example is self-contained and includes R code that can be run exactly as shown, enabling results from the book to be replicated. While base R is used throughout, other functions or packages are listed if they cover or extend the functionality. After working through the examples found in this text, new users of R will be able to better handle data analysis and graphics applications in R. Additional topics and R code are available from the book’s supporting website at

SAS and R

Data Management, Statistical Analysis, and Graphics, Second Edition

Author: Ken Kleinman,Nicholas J. Horton

Publisher: CRC Press

ISBN: 1466584491

Category: Mathematics

Page: 468

View: 3779


An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications. New to the Second Edition This edition now covers RStudio, a powerful and easy-to-use interface for R. It incorporates a number of additional topics, including using application program interfaces (APIs), accessing data through database management systems, using reproducible analysis tools, and statistical analysis with Markov chain Monte Carlo (MCMC) methods and finite mixture models. It also includes extended examples of simulations and many new examples. Enables Easy Mobility between the Two Systems Through the extensive indexing and cross-referencing, users can directly find and implement the material they need. SAS users can look up tasks in the SAS index and then find the associated R code while R users can benefit from the R index in a similar manner. Numerous example analyses demonstrate the code in action and facilitate further exploration. The datasets and code are available for download on the book’s website.

Reproducible Research with R and R Studio

Author: Christopher Gandrud

Publisher: CRC Press

ISBN: 1498715389

Category: Business & Economics

Page: 323

View: 1074


All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio, Second Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow. This practical workflow enables you to gather and analyze data as well as dynamically present results in print and on the web. New to the Second Edition The rmarkdown package that allows you to create reproducible research documents in PDF, HTML, and Microsoft Word formats using the simple and intuitive Markdown syntax Improvements to RStudio’s interface and capabilities, such as its new tools for handling R Markdown documents Expanded knitr R code chunk capabilities The kable function in the knitr package and the texreg package for dynamically creating tables to present your data and statistical results An improved discussion of file organization, enabling you to take full advantage of relative file paths so that your documents are more easily reproducible across computers and systems The dplyr, magrittr, and tidyr packages for fast data manipulation Numerous modifications to R syntax in user-created packages Changes to GitHub’s and Dropbox’s interfaces Create Dynamic and Highly Reproducible Research This updated book provides all the tools to combine your research with the presentation of your findings. It saves you time searching for information so that you can spend more time actually addressing your research questions. Supplementary files used for the examples and a reproducible research project are available on the author’s website.

Spatial Modeling in GIS and R for Earth and Environmental Sciences

Author: Hamid Reza Pourghasemi,Candan Gokceoglu

Publisher: Elsevier

ISBN: 0128156953

Category: Mathematics

Page: 798

View: 8780


Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example

How Ottawa Spends, 2007-2008

The Harper Conservatives - Climate of Change

Author: G. Bruce Doern

Publisher: McGill-Queen's Press - MQUP

ISBN: 0773575626

Category: Political Science

Page: 336

View: 1578


In the twenty-eighth edition of How Ottawa Spends leading Canadian scholars examine the Harper government agenda in the context of Stéphane Dion's election as Liberal opposition leader and the emergence of climate change as a dominant political and policy issue. This volume focuses on Quebec-Canada relations and federal-provincial fiscal imbalance. Contributors explore several key policy and expenditure issues, including Canada-U.S. relations, the Federal Accountability Act, energy policy, health care, child care, crime and punishment, consumer policy, and public service labour relations. They also offer a critical analysis of the challenges to overall governance, including ministerial responsibility, public-private partnerships, and the handling of long-term spending commitments inherited by succeeding governments. Contributors include Timothy Barkiw (Ryerson), Gerard Boychuk (Waterloo), Keith Brownsey (Mount Royal College, Calgary), Peter Graefe (McMaster), Geoffrey Hale (Lethbridge), Carey Hill (Western Ontario), Ruth Hubbard (Ottawa), Derek Ireland (PhD student, Carleton), Rachel Laforest (Queen's), Ian Lee (Carleton), Trevor Lynn (Saskatchewan), Jonathan Malloy (Carleton), Scott Millar (Government of Canada), Gilles Paquet (emeritus, Ottawa), Michael Prince (Victoria), Christopher Stoney (Carleton), Gene Swimmer (Carleton), Katherine Teghtsoonian (Victoria), Andrew Teliszewsky (Ontario Minister of Health Promotion), Lori Turnbull (Dalhousie), and Kernaghan Webb (Ryerson University).

Using the R Commander

A Point-and-Click Interface for R

Author: John Fox

Publisher: CRC Press

ISBN: 1498741932

Category: Mathematics

Page: 219

View: 7238


This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to complement it, although it does promote sound statistical practice in the examples. The book should also be useful to individual casual or occasional users of R for whom the standard command-line interface is an obstacle. The site includes data files used in the book and an errata list. Writing R Commander Plug-in Packages

An R Companion to Applied Regression

Author: John Fox,Sanford Weisberg

Publisher: SAGE Publications

ISBN: 141297514X

Category: Social Science

Page: 449

View: 807


This book aims to provide a broad introduction to the R statistical environment in the context of applied regression analysis, which is typically studied by social scientists and others in a second course in applied statistics.

A New Concordance and Dictionary to the Holy Scriptures

Being the Most Comprehensive and Concise of Any Before Published. In which Any Word Or Passage of Scripture May be Easily Found; the Signification is Given of All Proper Names of Men, Women, Beasts, Birds, Fishes, Cities, Towns, Rivers, Mountains, Precious Stones, and Other Things Mentioned in Scripture. Together with the Different Acceptations of Scripture Words; a Definition of Gospel Doctrines; and Several Types and Figures Opened. ...

Author: John Butterworth

Publisher: N.A


Category: Bible

Page: 664

View: 1261