Le logiciel R PDF Download

Author: Pierre Lafaye de Micheaux
Publisher: Springer Science & Business Media
ISBN: 9782817801155
Category : Computers
Languages : fr
Pages : 514

View

Book Description
Ce livre est constitué de deux grandes parties : la première est dédiée aux concepts principaux du logiciel R. Elle permettra de s'attaquer sereinement à un problème de nature statistique sans en être limité par les aspects informatiques ; la seconde traite en détails des méthodes statistiques classiques que sont les statistiques descriptives, la simulation de variables aléatoires, les intervalles de confiance et les tests d'hypothèses, la régression linéaire et l'ANOVA, y compris à mesures répétées, etc. Cet ouvrage peut servir de manuel de cours pour des utilisateurs d'un niveau débutant à avancé, et ceci sur les environnements Windows, Macintosh ou Linux. Il est agrémenté de nombreux exercices et travaux pratiques, dont les corrections sont mises à disposition des enseignants sur un site Internet associé au livre. Il peut aussi servir de bible dans laquelle il devient aisé de retrouver l'instruction R nécessaire à la résolution d'un problème donné.

Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953

View

Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.

Author: Yihui Xie
Publisher: CRC Press
ISBN: 0429782969
Category : Mathematics
Languages : en
Pages : 307

View

Book Description
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.

Author: Pierre Lafaye de Micheaux
Publisher: Springer
ISBN: 9782817805344
Category : Computers
Languages : fr
Pages : 0

View

Book Description
Ce livre est consacré à un outil désormais incontournable pour l’analyse de données, l’élaboration de graphiques et le calcul (bio)statistique : le logiciel R. La lecture de l'ouvrage débute par une présentation des possibilités offertes par le logiciel au travers d'une prise en main rapide via l'outil d'interface graphique RCommander, puis via la console. Après avoir introduit les principaux concepts permettant une utilisation sereine de cet environnement informatique (organisation des données, importation et exportation, accès à la documentation, représentations graphiques, programmation, maintenance, etc.), les auteurs de cet ouvrage détaillent l’ensemble des manipulations permettant la manipulation avec R d’un très grand nombre de méthodes et de notions statistiques : simulation de variables aléatoires, intervalles de confiance, tests d’hypothèses, valeur-p, bootstrap, régression linéaire, ANOVA (y compris répétées), et d’autres encore. Écrit avec un grand souci de pédagogie et clarté, et agrémenté de nombreux exercices et travaux pratiques dont la correction est maintenant disponible à la fois à la fin de l'ouvrage et au téléchargement sur le site web associé, ce livre accompagnera idéalement tous les utilisateurs de R – et cela sur les environnements Windows, Macintosh ou Linux – qu’ils soient débutants ou d’un niveau avancé : étudiants, enseignants ou chercheurs en statistique, mathématiques, médecine, informatique, biologie, psychologie, sciences infirmières, etc. Il leur permettra de maîtriser en profondeur le fonctionnement de ce logiciel. L’ouvrage sera aussi utile aux utilisateurs plus confirmés qui retrouveront exposé ici l’ensemble des fonctions R les plus couramment utilisées, ainsi que les techniques permettant l'interfaçage avec les langages de plus bas niveau C/C++ et Fortran, et une initiation au calcul parallèle et sur carte graphique.

Author: Sacha Varin
Publisher: Academia
ISBN: 2806107474
Category : Study Aids
Languages : fr
Pages : 218

View

Book Description
Cet ouvrage en couleur, agrémenté de nombreuses captures d'écrans, présente les techniques d'analyse de données les plus connues. Il s'articule en deux parties : l'une axée sur la présentation et l'utilisation du logiciel R. L'autre expose les principales méthodes d'analyse de données. Chaque exemple comprend sa solution détaillée et explicite les sorties du logiciel R. Ce livre s'adresse principalement aux débutants même si les lecteurs plus avertis pourront, eux aussi, y trouver leur compte.

Author: Andrie de Vries
Publisher: John Wiley & Sons
ISBN: 1119963133
Category : Computers
Languages : en
Pages : 470

View

Book Description
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

Author: Norman Matloff
Publisher: No Starch Press
ISBN: 1593273843
Category : Computers
Languages : en
Pages : 404

View

Book Description
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro. Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: –Create artful graphs to visualize complex data sets and functions –Write more efficient code using parallel R and vectorization –Interface R with C/C++ and Python for increased speed or functionality –Find new R packages for text analysis, image manipulation, and more –Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

Author: Mark P. J. Van der Loo
Publisher: Packt Publishing Ltd
ISBN: 1782160612
Category : Computers
Languages : en
Pages : 187

View

Book Description
A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly achieve this using RStudio.

Author: Kun Ren
Publisher: Packt Publishing Ltd
ISBN: 1785880624
Category : Computers
Languages : en
Pages : 576

View

Book Description
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.

Author: John Chambers
Publisher: Springer Science & Business Media
ISBN: 0387759360
Category : Computers
Languages : en
Pages : 515

View

Book Description
John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written by the author of the S language from which R evolved.