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The R Book


Author : Michael J. Crawley
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-07


Download 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)

Programmation Et Analyse Statistique Avec R


Author : Christian Paroissin
language : fr
Publisher:
Release Date : 2015-06-23


Download Programmation Et Analyse Statistique Avec R written by Christian Paroissin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-23 with categories.


Qu'est-ce que R : un langage de programmation ou un logiciel de statistique ? Les deux réponses peuvent être données, chacun répondant selon son utilisation de R. Mais un statisticien souhaitant développer de vraies compétences en R se doit d'en maîtriser les deux aspects. Ce livre est donc structuré en deux parties correspondant à ces deux potentiels de R. La première partie concerne la programmation avec R : les commandes de base pour la création et la manipulation d'objets, la gestion des entrées/sorties, la programmation et les graphiques. Les derniers chapitres traitent des aspects plus avancés de la programmation avec, par exemple, l'utilisation de fonctions écrites en C ou en Fortran dans un script R, ou bien la création de package. La seconde partie porte sur les méthodes statistiques, présentes essentiellement dans la version de base de R, mais aussi dans certains packages spécifiques : statistiques descriptives, inférence statistique et méthodes non-paramétriques, tests statistiques (comparaison d'échantillon, test d'adéquation, etc.), régression linéaire et analyse de la variance, séries temporelles, analyse de durées de vie, analyse de données et méthodes de classification. Cette partie est complétée par un chapitre sur la génération automatique de rapports.

R For Dummies


Author : Andrie de Vries
language : en
Publisher: John Wiley & Sons
Release Date : 2012-06-06


Download R For Dummies written by Andrie de Vries 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 2012-06-06 with Computers categories.


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

R For Data Science


Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12


Download R For Data Science 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 2016-12-12 with Computers categories.


Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Programmation Lin Aire Complexit


Author : Jean F. Maurras
language : fr
Publisher: Springer Science & Business Media
Release Date : 2002-07-23


Download Programmation Lin Aire Complexit written by Jean F. Maurras and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-07-23 with Business & Economics categories.


Le but de cet ouvrage est de faire une présentation complète et auto contenue de l'équivalence entre les Oracles Séparer, Optimiser et Appartenir en Optimisation Polyédrale. Dans ce but le livre commence par une présentation détaillée des problèmes de Complexité des Algorithmes suivi d'une présentation de la méthode du Simplexe. On décrit ensuite l'algorithme de Khachiyan sans éluder les problèmes numériques. Viennent alors une suite d'algorithmes polynomiaux pour Optimiser à partir de l'oracle Séparer. Après quelques transformations, on montre que, par polarité, on peut Séparer à partir de l'oracle Optimiser. La première équivalence est revue après avoir décrit l'algorithme LLL. L'ouvrage se termine par la réduction de Séparer à Appartenir.

Analyzing Ecological Data


Author : Alain Zuur
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-29


Download Analyzing Ecological Data written by Alain Zuur and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-29 with Science categories.


This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.

Python Pour Les Kids


Author : Jason R. Briggs
language : fr
Publisher: Editions Eyrolles
Release Date : 2015


Download Python Pour Les Kids written by Jason R. Briggs and has been published by Editions Eyrolles this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.


La programmation accessible à tous ! Python est un langage de programmation puissant, expressif, facile à apprendre et amusant. Il est compatible avec Mac, Windows et Linux. Python pour les kids donne vie à Python et t'emmène, ainsi que tes parents, dans l'univers de la programmation. Avec des trésors de patience, Jason R. Briggs te guidera parmi les bases, à mesure que tu t'essaieras à des exemples de programmes uniques et parfois hilarants, qui mettent en lumière des monstres voraces, des sorciers, des agents secrets, des corbeaux voleurs et d'autres curiosités du genre. Les définitions des termes utilisés, le code colorisé et expliqué en détail, ainsi que des illustrations en couleurs agrémentent l'apprentissage et le rendent plus aisé. Les fins de chapitres proposent des puzzles de programmation pour t'entraîner. À la fin du livre, tu auras programmé deux jeux complets : un clone du fameux jeu de pong (balle bondissante et raquette) et "M. Filiforme court vers la sortie", un jeu de plates- formes avec des sauts, des animations et bien plus.A partir de 10 ans Tout au long de cette aventure, tu apprendras à : te servir des structures de données fondamentales comme les listes, les tuples et les dictionnaires ; organiser et réutiliser ton code à l'aide de fonctions, de classes et de modules ; utiliser les structures de contrôle comme les boucles et les instructions conditionnelles ; dessiner des formes et des motifs à l'aide du module de la tortue de Python ; créer des jeux, des animations et d'autres merveilles avec tkinter. Pourquoi les adultes seraient-ils seuls à s'amuser ? Python pour les kids est ton ticket d'entrée dans le monde merveilleux de la programmation.