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Health Science Statistics using R and R Commander - Robin Beaumont - Bog - Scion Publishing Ltd - Plusbog.dk

Health Science Statistics using R and R Commander - Robin Beaumont - Bog - Scion Publishing Ltd - Plusbog.dk

Health Science Statistics using R and R Commander has been written for students, researchers and professionals who need a practical guide to the subject.R is an open source statistical package that is finding favour in a wide variety of statistics applications. Initially R was the preserve of trained statisticians. However, it is increasingly being used with non-specialist audiences, at both postgraduate and senior undergraduate levels.The book focuses on the graphical user interface, R Commander, which helps make R more user-friendly for the uninitiated. However, throughout the book, the R code behind R Commander is provided to allow the reader to program directly if required. The book provides both the practical skills and essential knowledge to enable the reader to perform their own statistical analyses in R and to interpret the results appropriately.The book starts with introductory chapters which demonstrate how to install and run R and R Commander effortlessly. It then builds from introductory statistics chapters (calculating correlations and t tests) through to more complex areas (structural equation modelling, log linear regression etc.). Each chapter begins with a thorough introduction to the statistical technique under discussion. Then, working through real-life data, the reader is shown how to do their own analysis using R Commander, followed by a demonstration of how to do this analysis in R directly. The later chapters also show how to write up findings in the correct format. For specific analyses other free applications are introduced to supplement R ( OpenEpi, Gpower and ?nyx ). Throughout, the reader is given essential tips and advice to help get to grips with carrying out the analysis and intelligently reflecting on the output. Health Science Statistics using R and R Commander is accompanied by an array of web-based material including: - additional online chapters - discussion board - R code for each chapter - multiple choice questions - links to other resources including websites, blogs and tutorials Health Science Statistics using R and R Commander is a comprehensive introduction to statistics in the health sciences combined with a hands-on practical guide to R (and related free software).

DKK 804.00
1

Blue Cat - engelsk for tiende - Lars Skovhus - Bog - Gyldendal - Plusbog.dk

Blue Cat - engelsk for tiende - Lars Skovhus - Bog - Gyldendal - Plusbog.dk

Blue Cat foreligger nu fra 4. til 10. klasse med: - - Story Book/Reader - - My Own Book/Workbook - - Teacher's Book - - Blue Cat Readers til 4. og 5. klasse - - Lydbånd/cd - - Lytte- og læsetekster til FSA - - Lytte- og læsetekster til FSU/FSA Hovedtemaerne i Blue Cat - engelsk for tiende er: - - Drama in sport - - I, too, am American! - - Crime - - The Blitz - - Wales - - Careers - - Teenage Literature Teacher's Book indeholder forslag til organisering og arbejdsmåder for hvert enkelt tema samt oversigter over supplerende materialer til de forskellige temaer. Ligeledes findes tapescripts til lytteaktiviteterne i materialet. Bagest i bogen er der en række Worksheets .Derudover findes der i Teacher's Book gode råd og praktiske forslag til, hvordan Folkeskolens afgangsprøver (FSA & FS10) i engelsk kan tilrettelægges og gennemføres

DKK 1247.00
1

R Markdown - Garrett Grolemund - Bog - Taylor & Francis Ltd - Plusbog.dk

R Markdown - Garrett Grolemund - Bog - Taylor & Francis Ltd - Plusbog.dk

R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn - - Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages - - - Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations - - - Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials - - - Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. - Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr , bookdown: Authoring Books and Technical Documents with R Markdown , and blogdown: Creating Websites with R Markdown . J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R . He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.

DKK 837.00
1

R Programming for Bioinformatics - Robert Gentleman - Bog - Taylor & Francis Ltd - Plusbog.dk

R Programming for Bioinformatics - Robert Gentleman - Bog - Taylor & Francis Ltd - Plusbog.dk

Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. Drawing on the author’s first-hand experiences as an expert in R, the book begins with coverage on the general properties of the R language, several unique programming aspects of R, and object-oriented programming in R. It presents methods for data input and output as well as database interactions. The author also examines different facets of string handling and manipulations, discusses the interfacing of R with other languages, and describes how to write software packages. He concludes with a discussion on the debugging and profiling of R code. With numerous examples and exercises, this practical guide focuses on developing R programming skills in order to tackle problems encountered in bioinformatics and computational biology.

DKK 930.00
1

R Graphics, Third Edition - Paul Murrell - Bog - Taylor & Francis Inc - Plusbog.dk

R Graphics, Third Edition - Paul Murrell - Bog - Taylor & Francis Inc - Plusbog.dk

This third edition of Paul Murrell’s classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages in R - graphics and grid - and has a new section on integrating graphics. This section includes three new chapters: importing external images in to R; integrating the graphics and grid systems; and advanced SVG graphics. The emphasis in this third edition is on having the ability to produce detailed and customised graphics in a wide variety of formats, on being able to share and reuse those graphics, and on being able to integrate graphics from multiple systems. This book is aimed at all levels of R users. For people who are new to R, this book provides an overview of the graphics facilities, which is useful for understanding what to expect from R''s graphics functions and how to modify or add to the output they produce. For intermediate-level R users, this book provides all of the information necessary to perform sophisticated customizations of plots produced in R. For advanced R users, this book contains vital information for producing coherent, reusable, and extensible graphics functions.

DKK 884.00
1

Optimization Modelling Using R - Timothy R. Anderson - Bog - Taylor & Francis Ltd - Plusbog.dk

Optimization Modelling Using R - Timothy R. Anderson - Bog - Taylor & Francis Ltd - Plusbog.dk

This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The focus is on linear and mixed integer optimization. It uses an algebraic modeling approach for creating formulations that pairs naturally with an algebraic implementation in R. With the rapid rise of interest in data analytics, a data analytics platform is key. Working technology and business professionals need an awareness of the tools and language of data analysis. R reduces the barrier to entry for people to start using data analytics tools. Philosophically, the book emphasizes creating formulations before going into implementation. Algebraic representation allows for clear understanding and generalization of large applications, and writing formulations is necessary to explain and convey the modeling decisions made. Appendix A introduces R. Mathematics is used at the level of subscripts and summations Refreshers are provided in Appendix B. This book: • Provides and explains code so examples are relatively clear and self-contained. • Emphasizes creating algebraic formulations before implementing. • Focuses on application rather than algorithmic details. • Embodies the philosophy of reproducible research. • Uses open-source tools to ensure access to powerful optimization tools. • Promotes open-source: all materials are available on the author’s github repository. • Demonstrates common debugging practices with a troubleshooting emphasis specific to optimization modeling using R. • Provides code readers can adapt to their own applications . This book can be used for graduate and undergraduate courses for students without a background in optimization and with varying mathematical backgrounds.

DKK 884.00
1

R Visualizations - David Gerbing - Bog - Taylor & Francis Ltd - Plusbog.dk

R Visualizations - David Gerbing - Bog - Taylor & Francis Ltd - Plusbog.dk

R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate any of the basic visualizations with the R visualization systems. Further, this book introduces the author’s lessR system, which always can accomplish a visualization with less coding than the use of other systems, sometimes dramatically so, and also provides accompanying statistical analyses. Key Features - - Presents thorough coverage of the leading R visualization system, ggplot2. - - - Gives specific guidance on using base R graphics to attain visualizations of the same quality as those provided by ggplot2. - - - - - Shows how to create a wide range of data visualizations: distributions of categorical and continuous variables, many types of scatterplots including with a third variable, time series, and maps. - Inclusion of the various approaches to R graphics organized by topic instead of by system. - - - Presents the recent work on interactive visualization in R. - David W. Gerbing received his PhD from Michigan State University in 1979 in quantitative analysis, and currently is a professor of quantitative analysis in the School of Business at Portland State University. He has published extensively in the social and behavioral sciences with a focus on quantitative methods. His lessR package has been in development since 2009.

DKK 810.00
1

Computational Methods for Numerical Analysis with R - Ii Howard - Bog - Taylor & Francis Inc - Plusbog.dk

Computational Methods for Numerical Analysis with R - Ii Howard - Bog - Taylor & Francis Inc - Plusbog.dk

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R, along with examples to demonstrate the function and its use. Computational Methods for Numerical Analysis with R is intended for those who already know R, but are interested in learning more about how the underlying algorithms work. As such, it is suitable for statisticians, economists, and engineers, and others with a computational and numerical background.

DKK 958.00
1

R Companion for Sampling - Yan Lu - Bog - Taylor & Francis Ltd - Plusbog.dk

R Companion for Sampling - Yan Lu - Bog - Taylor & Francis Ltd - Plusbog.dk

The R Companion for Sampling: Design and Analysis , designed to be read alongside Sampling: Design and Analysis, Third Edition by Sharon L. Lohr ( SDA ; 2022, CRC Press), shows how to use functions in base R and contributed packages to perform calculations for the examples in SDA. No prior experience with R is needed. Chapter 1 tells you how to obtain R and RStudio, introduces basic features of the R statistical software environment, and helps you get started with analyzing data. Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA, with code, output, and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors. R features and functions are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book, you will know how to use R to select and analyze almost any type of probability sample. All R code and data sets used in this book are available online to help you develop your skills analyzing survey data from social and public opinion research, public health, crime, education, business, agriculture, and ecology.

DKK 782.00
1

R For College Mathematics and Statistics - Thomas Pfaff - Bog - Taylor & Francis Ltd - Plusbog.dk

R For College Mathematics and Statistics - Thomas Pfaff - Bog - Taylor & Francis Ltd - Plusbog.dk

R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice'''' functions in calculus classes. They can require reports and homework with graphs. They can do simulations and experiments. R can be useful for student projects, for creating graphics for teaching, as well as for scholarly work. This book presents ways R, which is freely available, can enhance the teaching of mathematics and statistics. R has the potential to help students learn mathematics due to the need for precision, understanding of symbols and functions, and the logical nature of code. Moreover, the text provides students the opportunity for experimenting with concepts in any mathematics course. Features: Does not require previous experience with R Promotes the use of R in typical mathematics and statistics course work Organized by mathematics topics Utilizes an example-based approach Chapters are largely independent of each other

DKK 920.00
1

SAS for R Users - Ajay Ohri - Bog - John Wiley & Sons Inc - Plusbog.dk

SAS for R Users - Ajay Ohri - Bog - John Wiley & Sons Inc - Plusbog.dk

BRIDGES THE GAP BETWEEN SAS AND R, ALLOWING USERS TRAINED IN ONE LANGUAGE TO EASILY LEARN THE OTHER SAS and R are widely-used, very different software environments. Prized for its statistical and graphical tools, R is an open-source programming language that is popular with statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software in analytics thanks to its faster data handling and smaller learning curve. SAS for R Users enables entry-level data scientists to take advantage of the best aspects of both tools by providing a cross-functional framework for users who already know R but may need to work with SAS. Those with knowledge of both R and SAS are of far greater value to employers, particularly in corporate settings. Using a clear, step-by-step approach, this book presents an analytics workflow that mirrors that of the everyday data scientist. This up-to-date guide is compatible with the latest R packages as well as SAS University Edition. Useful for anyone seeking employment in data science, this book: Instructs both practitioners and students fluent in one language seeking to learn the otherProvides command-by-command translations of R to SAS and SAS to ROffers examples and applications in both R and SASPresents step-by-step guidance on workflows, color illustrations, sample code, chapter quizzes, and moreIncludes sections on advanced methods and applications Designed for professionals, researchers, and students, SAS for R Users is a valuable resource for those with some knowledge of coding and basic statistics who wish to enter the realm of data science and business analytics.

DKK 865.00
1

Analysis of Categorical Data with R - Christopher R. Bilder - Bog - Taylor & Francis Ltd - Plusbog.dk

Analysis of Categorical Data with R - Christopher R. Bilder - Bog - Taylor & Francis Ltd - Plusbog.dk

Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The second edition is a substantial update of the first based on the authors’ experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter—group testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated. Features: - Requires no prior experience with R, and offers an introduction to the essential features and functions of R - Includes numerous examples from medicine, psychology, sports, ecology, and many other areas - Integrates extensive R code and output - Graphically demonstrates many of the features and properties of various analysis methods - Offers a substantial number of exercises in all chapters, enabling use as a course text or for self-study - Supplemented by a website with data sets, code, and teaching videos Analysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner and would make an ideal reference for a researcher from any discipline where categorical data arise.

DKK 825.00
1

Epidemiology with R - Bendix Carstensen - Bog - Oxford University Press - Plusbog.dk

Epidemiology with R - Bendix Carstensen - Bog - Oxford University Press - Plusbog.dk

This practical guide is designed for students and researchers with an existing knowledge of R who wish to learn how to apply it in an epidemiological context and exploit its versatility. It also serves as a broader introduction to the quantitative aspects of modern practical epidemiology. The standard tools used in epidemiology are described and the practical use of R for these is clearly explained and laid out. R code examples, many with output, are embedded throughout the text. The entire code is also available on the companion website so that readers can reproduce all the results and graphs featured in the book.Epidemiology with R is an advanced textbook suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of human and non-human epidemiology, public health, veterinary science, and biostatistics.

DKK 827.00
1