The R Reference Manual Base Package
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The R Reference Manual Base Package
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Author :
language : en
Publisher:
Release Date : 2004
The R Reference Manual Base Package written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with R (Computer program language) categories.
R Reference Manual Volume 1 Base Package For R Version 2
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Author : R Development Core Team
language : en
Publisher: Network Theory.
Release Date : 2011-08-01
R Reference Manual Volume 1 Base Package For R Version 2 written by R Development Core Team and has been published by Network Theory. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-01 with Mathematical statistics categories.
Printed edition of the reference documentation for R (version 2.13.x), this is the first volume which covers the core functions of the base package.
R Reference Manual Volume 4 Methods And Tools For R Version 2 13
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Author : R Development Core Team
language : en
Publisher: Network Theory.
Release Date : 2011-08-01
R Reference Manual Volume 4 Methods And Tools For R Version 2 13 written by R Development Core Team and has been published by Network Theory. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-01 with Mathematical statistics categories.
This is a printed edition of the reference documentation for R (version 2.13.x), a powerful free environment for statistical computing and graphics. This is the fourth volume which covers the methods, tools and utilities packages. There are four volumes in the complete set of manuals. All the manuals are written by the developers of R, and represent the definitive guide to the software. The manuals explain the use of each command in detail, with references, implementation notes and examples. Every volume includes a comprehensive index of entries listed by keyword and topic. For each volume sold 1 USD is donated by the publisher (Network Theory Ltd) to the R Foundation to support the development of the software.
R Base
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Author : Microrim (Firm)
language : en
Publisher:
Release Date : 198?
R Base written by Microrim (Firm) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 198? with Database management categories.
R
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Author :
language : en
Publisher:
Release Date : 199?
R written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 199? with categories.
R Base
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Author : Microrim (Firm)
language : en
Publisher:
Release Date : 1992
R Base written by Microrim (Firm) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Database management categories.
R Base 5000 Reference Manual
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Author : Microrim (Firm)
language : en
Publisher:
Release Date : 1985
R Base 5000 Reference Manual written by Microrim (Firm) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with R:Base 5000 (Computer program) categories.
The R Book
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Author : Michael J. Crawley
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-07
The R Book written by Michael J. Crawley 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 2012-11-07 with Mathematics categories.
Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: ‘...if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.’ (The American Statistician, August 2008) ‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book...’ (Professional Pensions, July 2007)
Learn R
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Author : Pedro J. Aphalo
language : en
Publisher: CRC Press
Release Date : 2024-04-26
Learn R written by Pedro J. Aphalo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.
Learning a computer language like R can be either frustrating, fun or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward for overcoming them. The book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will enjoy their path to R fluency. Fluency in the use of a language is a skill that is acquired through practice and exploration. For students and professionals in the biological sciences, humanities and many applied fields, recognizing the parallels between R and natural languages should help them feel at home with R. The approach I use is similar to that of a travel guide, encouraging exploration and describing the available alternatives and how to reach them. The intention is to guide the reader through the R landscape of 2024 and beyond. What is new in the second edition? Text expanded by more than 25% to include additional R features and gentler and more detailed explanations Contains 24 new diagrams and flowcharts, seven new tables, and revised text and code examples for clarity All three indexes were expanded, and answers to 28 frequently asked questions added What will you find in this book? Programming concepts explained as they apply to current R Emphasis on the role of abstractions in programming Few prescriptive rules—mostly the author’s preferences together with alternatives Presentation of the R language emphasizing the “R way of doing things” Tutoring for “programming in the small” using scripts for data analysis Explanation of the differences between R proper and extensions for data wrangling The grammar of graphics is described as a language for the construction of data visualisations Examples of data exchange between R and the foreign world using common file formats Coaching to become an independent R user, capable of writing original scripts and solving future challenges
R Packages
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-03-26
R Packages written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-26 with Computers categories.
Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language. Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. You’ll learn to focus on what you want your package to do, rather than think about package structure. Learn about the most useful components of an R package, including vignettes and unit tests Automate anything you can, taking advantage of the years of development experience embodied in devtools Get tips on good style, such as organizing functions into files Streamline your development process with devtools Learn the best way to submit your package to the Comprehensive R Archive Network (CRAN) Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr