Meta Programming In R

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Metaprogramming in R

Thomas Mailund

Author : Thomas Mailund
Publisher : Apress
Page : 106 pages
File Size : 43,5 Mb
Release : 2017-06-01
Category : Computers
ISBN : 9781484228814

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Metaprogramming in R by Thomas Mailund Pdf

Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a very high-level language where all operations are functions and all functions are data that can be manipulated. This book shows you how to leverage R's natural flexibility in how function calls and expressions are evaluated, to create small domain-specific languages to extend R within the R language itself. What You'll Learn Find out about the anatomy of a function in R Look inside a function call Work with R expressions and environments Manipulate expressions in R Use substitutions Who This Book Is For Those with at least some experience with R and certainly for those with experience in other programming languages.

Advanced R

Hadley Wickham

Author : Hadley Wickham
Publisher : CRC Press
Page : 476 pages
File Size : 49,7 Mb
Release : 2015-09-15
Category : Mathematics
ISBN : 9781498759809

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Advanced R by Hadley Wickham Pdf

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Doing Meta-Analysis with R

Mathias Harrer,Pim Cuijpers,Toshi A. Furukawa,David D. Ebert

Author : Mathias Harrer,Pim Cuijpers,Toshi A. Furukawa,David D. Ebert
Publisher : CRC Press
Page : 500 pages
File Size : 46,8 Mb
Release : 2021-09-15
Category : Mathematics
ISBN : 9781000435634

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Doing Meta-Analysis with R by Mathias Harrer,Pim Cuijpers,Toshi A. Furukawa,David D. Ebert Pdf

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book

C++ Template Metaprogramming

David Abrahams,Aleksey Gurtovoy

Author : David Abrahams,Aleksey Gurtovoy
Publisher : Addison-Wesley Professional
Page : 408 pages
File Size : 44,9 Mb
Release : 2005
Category : Computers
ISBN : UOM:39015059263031

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C++ Template Metaprogramming by David Abrahams,Aleksey Gurtovoy Pdf

"This book is aimed at any programmer who is comfortable with idioms of the Standard Template Library (STL). C++ power-users will gain a new insight into their existing work and a new fluency in the domain of metaprogramming. Intermediate-level programmers who have learned a few advanced template techniques will see where these tricks fit in the big picture and will gain the conceptual foundation to use them with discipline. Programmers who have caught the scent of metaprogramming, but for whom it is still mysterious, will finally gain a clear understanding of how, when, and why it works. All readers will leave with a new tool of unprecedented power at their disposal - the Boost Metaprogramming Library."--Jacket.

Meta-Analysis with R

Guido Schwarzer,James R. Carpenter,Gerta Rücker

Author : Guido Schwarzer,James R. Carpenter,Gerta Rücker
Publisher : Springer
Page : 252 pages
File Size : 43,8 Mb
Release : 2015-10-08
Category : Medical
ISBN : 9783319214160

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Meta-Analysis with R by Guido Schwarzer,James R. Carpenter,Gerta Rücker Pdf

This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies.

Advanced R, Second Edition

Hadley Wickham

Author : Hadley Wickham
Publisher : CRC Press
Page : 562 pages
File Size : 40,8 Mb
Release : 2019-05-24
Category : Mathematics
ISBN : 9781351201292

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Advanced R, Second Edition by Hadley Wickham Pdf

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising your code. By reading this book, you will learn: The difference between an object and its name, and why the distinction is important The important vector data structures, how they fit together, and how you can pull them apart using subsetting The fine details of functions and environments The condition system, which powers messages, warnings, and errors The powerful functional programming paradigm, which can replace many for loops The three most important OO systems: S3, S4, and R6 The tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation Effective debugging techniques that you can deploy, regardless of how your code is run How to find and remove performance bottlenecks The second edition is a comprehensive update: New foundational chapters: "Names and values," "Control flow," and "Conditions" comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them Much deeper coverage of metaprogramming, including the new tidy evaluation framework use of new package like rlang (http://rlang.r-lib.org), which provides a clean interface to low-level operations, and purr (http://purrr.tidyverse.org/) for functional programming Use of color in code chunks and figures Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: Elegant Graphics for Data Analysis.

Meta-Programming in R

Thomas Mailund

Author : Thomas Mailund
Publisher : Unknown
Page : 123 pages
File Size : 42,8 Mb
Release : 2017-02-25
Category : Electronic
ISBN : 1520696728

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Meta-Programming in R by Thomas Mailund Pdf

What's more fun than writing programs? Writing programs that write programs!Meta-programming means writing programs that manipulate other programs (or manipulate itself) and in the high-level programming language R, there are rich features that enable us to extend the language itself. This book tells you how!

Learning R Programming

Kun Ren

Author : Kun Ren
Publisher : Packt Publishing Ltd
Page : 576 pages
File Size : 52,9 Mb
Release : 2016-10-28
Category : Computers
ISBN : 9781785880629

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Learning R Programming by Kun Ren Pdf

Become an efficient data scientist with R About This Book Explore the R language from basic types and data structures to advanced topics Learn how to tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R and leverage the most popular packages for common tasks Who This Book Is For This is the perfect tutorial for anyone who is new to statistical programming and modeling. Anyone with basic programming and data processing skills can pick this book up to systematically learn the R programming language and crucial techniques. What You Will Learn Explore the basic functions in R and familiarize yourself with common data structures Work with data in R using basic functions of statistics, data mining, data visualization, root solving, and optimization Get acquainted with R's evaluation model with environments and meta-programming techniques with symbol, call, formula, and expression Get to grips with object-oriented programming in R: including the S3, S4, RC, and R6 systems Access relational databases such as SQLite and non-relational databases such as MongoDB and Redis Get to know high performance computing techniques such as parallel computing and Rcpp Use web scraping techniques to extract information Create RMarkdown, an interactive app with Shiny, DiagramR, interactive charts, ggvis, and more In Detail R is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset. Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques. Style and approach Developed to make learning easy and intuitive, this book comes packed with a wide variety of statistical and graphical techniques and a wealth of practical information for anyone looking to get started with this exciting and powerful language.

C++ Templates

David Vandevoorde,Nicolai M. Josuttis,Douglas Gregor

Author : David Vandevoorde,Nicolai M. Josuttis,Douglas Gregor
Publisher : Addison-Wesley Professional
Page : 2818 pages
File Size : 53,6 Mb
Release : 2017-09-14
Category : Computers
ISBN : 9780134778747

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C++ Templates by David Vandevoorde,Nicolai M. Josuttis,Douglas Gregor Pdf

Templates are among the most powerful features of C++, but they remain misunderstood and underutilized, even as the C++ language and development community have advanced. In C++ Templates, Second Edition, three pioneering C++ experts show why, when, and how to use modern templates to build software that’s cleaner, faster, more efficient, and easier to maintain. Now extensively updated for the C++11, C++14, and C++17 standards, this new edition presents state-of-the-art techniques for a wider spectrum of applications. The authors provide authoritative explanations of all new language features that either improve templates or interact with them, including variadic templates, generic lambdas, class template argument deduction, compile-time if, forwarding references, and user-defined literals. They also deeply delve into fundamental language concepts (like value categories) and fully cover all standard type traits. The book starts with an insightful tutorial on basic concepts and relevant language features. The remainder of the book serves as a comprehensive reference, focusing first on language details and then on coding techniques, advanced applications, and sophisticated idioms. Throughout, examples clearly illustrate abstract concepts and demonstrate best practices for exploiting all that C++ templates can do. Understand exactly how templates behave, and avoid common pitfalls Use templates to write more efficient, flexible, and maintainable software Master today’s most effective idioms and techniques Reuse source code without compromising performance or safety Benefit from utilities for generic programming in the C++ Standard Library Preview the upcoming concepts feature The companion website, tmplbook.com, contains sample code and additional updates.

Metaprogramming Ruby 2

Paolo Perrotta

Author : Paolo Perrotta
Publisher : Unknown
Page : 0 pages
File Size : 41,7 Mb
Release : 2014
Category : Object-oriented programming (Computer science)
ISBN : 1941222129

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Metaprogramming Ruby 2 by Paolo Perrotta Pdf

Paolo Perrotta has fifteen years of experience as a developer, ranging from embedded to enterprise software, computer games, and web applications. Paolo lives a nomadic life, mentoring agile teams throughout Europe. He has a base camp in Bologna, Italy. He loves Ruby.

Logic Program Synthesis and Transformation - Meta-Programming in Logic

Laurent Fribourg,Franco Turini

Author : Laurent Fribourg,Franco Turini
Publisher : Springer Science & Business Media
Page : 468 pages
File Size : 51,6 Mb
Release : 1994-11-30
Category : Computers
ISBN : 3540587926

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Logic Program Synthesis and Transformation - Meta-Programming in Logic by Laurent Fribourg,Franco Turini Pdf

This volume constitutes the combined proceedings of the 4th International Workshops on Logic Program Synthesis and Transformation (LOPSTR '94) and on Meta-Programming (META '94), held jointly in Pisa, Italy in June 1994. This book includes thoroughly revised versions of the best papers presented at both workshops. The main topics addressed by the META papers are language extensions in support of meta-logic, semantics of meta-logic, implementation of meta-logic features, performance of meta-logic, and several applicational aspects. The LOPSTR papers are devoted to unfolding/folding, partial deduction, proofs as programs, inductive logic programming, automated program verification, specification and programming methodologies.

Meta-Programming and Model-Driven Meta-Program Development

Vytautas Štuikys,Robertas Damaševičius

Author : Vytautas Štuikys,Robertas Damaševičius
Publisher : Springer Science & Business Media
Page : 330 pages
File Size : 44,6 Mb
Release : 2012-08-21
Category : Computers
ISBN : 9781447141266

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Meta-Programming and Model-Driven Meta-Program Development by Vytautas Štuikys,Robertas Damaševičius Pdf

Meta-Programming and Model-Driven Meta-Program Development: Principles, Processes and Techniques presents an overall analysis of meta-programming, focusing on insights of meta-programming techniques, heterogeneous meta-program development processes in the context of model-driven, feature-based and transformative approaches. The fundamental concepts of meta-programming are still not thoroughly understood, in this well organized book divided into three parts the authors help to address this. Chapters include: Taxonomy of fundamental concepts of meta-programming; Concept of structural heterogeneous meta-programming based on the original meta-language; Model-driven concept and feature-based modeling to the development process of meta-programs; Equivalent meta-program transformations and metrics to evaluate complexity of feature-based models and meta-programs; Variety of academic research case studies within different application domains to experimentally verify the soundness of the investigated approaches. Both authors are professors at Kaunas University of Technology with 15 years research and teaching experience in the field. Meta-Programming and Model-Driven Meta-Program Development: Principles, Processes and Techniques is aimed at post-graduates in computer science and software engineering and researchers and program system developers wishing to extend their knowledge in this rapidly evolving sector of science and technology.

R Markdown

Yihui Xie,J.J. Allaire,Garrett Grolemund

Author : Yihui Xie,J.J. Allaire,Garrett Grolemund
Publisher : CRC Press
Page : 323 pages
File Size : 52,5 Mb
Release : 2018-07-27
Category : Mathematics
ISBN : 9780429782961

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R Markdown by Yihui Xie,J.J. Allaire,Garrett Grolemund Pdf

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.

Meta-Programming in Logic

Alberto Pettorossi

Author : Alberto Pettorossi
Publisher : Springer Science & Business Media
Page : 374 pages
File Size : 40,5 Mb
Release : 1992-12-02
Category : Computers
ISBN : 3540562826

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Meta-Programming in Logic by Alberto Pettorossi Pdf

This volume contains lectures and papers delivered at Meta 92, the Third International Workshop on Metaprogramming in Logic, held in Uppsala, Sweden,June 1992. The topics covered include foundations of metaprogramming in logic, proposals for metaprogramming languages, techniques for knowledgerepresentation and belief systems, and program transformation and analysis in logic. Particular topics include belief revision systems, intensionaldeduction, belief systems and metaprogramming, principles of partial deduction, termination in logic programs, semantics of the "vanilla" metainterpreter, a complete resolution method for metaprogramming, semanticsof "demo", hierarchical metalogics, the naming relation in metalevel systems, modules, reflective agents, compiler optimizations, metalogic and object-oriented facilities, parallel logic languages, the use of metaprogramming for legal reasoning, representing objects and inheritance, transformation of normal programs, negation in automatically generated logic programs, reordering of literals in deductive databases, abstract interpretations, and interarguments in constraint logic programs.

R For Dummies

Andrie de Vries,Joris Meys

Author : Andrie de Vries,Joris Meys
Publisher : John Wiley & Sons
Page : 470 pages
File Size : 50,8 Mb
Release : 2012-06-06
Category : Computers
ISBN : 9781119963134

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R For Dummies by Andrie de Vries,Joris Meys Pdf

Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more Visualize it ? learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes Open the book and find: Help downloading, installing, and configuring R Tips for getting data in and out of R Ways to use data frames and lists to organize data How to manipulate and process data Advice on fitting regression models and ANOVA Helpful hints for working with graphics How to code in R What R mailing lists and forums can do for you

Meta Programming In R

Metaprogramming in R by Thomas Mailund Pdf

Advanced R by Hadley Wickham Pdf

Doing Meta-Analysis with R by Mathias Harrer,Pim Cuijpers,Toshi A. Furukawa,David D. Ebert Pdf

C++ Template Metaprogramming by David Abrahams,Aleksey Gurtovoy Pdf

Meta-Analysis with R by Guido Schwarzer,James R. Carpenter,Gerta Rücker Pdf

Advanced R, Second Edition by Hadley Wickham Pdf

Meta-Programming in R by Thomas Mailund Pdf

Learning R Programming by Kun Ren Pdf

C++ Templates by David Vandevoorde,Nicolai M. Josuttis,Douglas Gregor Pdf

Metaprogramming Ruby 2 by Paolo Perrotta Pdf

Logic Program Synthesis and Transformation - Meta-Programming in Logic by Laurent Fribourg,Franco Turini Pdf

Meta-Programming and Model-Driven Meta-Program Development by Vytautas Štuikys,Robertas Damaševičius Pdf

R Markdown by Yihui Xie,J.J. Allaire,Garrett Grolemund Pdf

Meta-Programming in Logic by Alberto Pettorossi Pdf

R For Dummies by Andrie de Vries,Joris Meys Pdf

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