Kabacoff R.I. (2015). R in action, data analysis and graphics with R. 2 ed. Shelter Island (USA) : Manning Publications. 579 p.
https://www.manning.com/books/r-in-action-second-edition
https://www.manning.com/books/r-in-action-second-edition
Titre : | R in action, data analysis and graphics with R |
Auteurs : | R.I. Kabacoff |
Type de document : | E-Book |
Mention d'édition : | 2 |
Editeur : | Shelter Island (USA) : Manning Publications, 2015 |
ISBN/ISSN/EAN : | 978-1-61729-138-8 |
Format : | 579 p. |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 12 - EDUCATION. FORMATION. INFORMATION. GESTION DES SAVOIRS ; 12.5 - Formation Continue, Professionnelle. Gestion des CursusThésaurus IAMM LOGICIEL ; DONNEE STATISTIQUE ; ANALYSE DE DONNEES ; TRAITEMENT DES DONNEES ; APPRENTISSAGE ; GRAPHIQUE ; LANGAGE |
Résumé : |
Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide.
R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing. |
Note de contenu : |
PART 1 GETTING STARTED
1 ■ Introduction to R 2 ■ Creating a dataset 3 ■ Getting started with graphs 4 ■ Basic data management 5 ■ Advanced data management PART 2 BASIC METHODS 6 ■ Basic graphs 7 ■ Basic statistics PART 3 INTERMEDIATE METHODS 8 ■ Regression 9 ■ Analysis of variance 10 ■ Power analysis 11 ■ Intermediate graphs 12 ■ Resampling statistics and bootstrapping PART 4 ADVANCED METHODS 13 ■ Generalized linear models 14 ■ Principal components and factor analysis 15 ■ Time series 16 ■ Cluster analysis 17 ■ Classification 18 ■ Advanced methods for missing data PART 5 EXPANDING YOUR SKILLS 19 ■ Advanced graphics with ggplot2 20 ■ Advanced programming 21 ■ Creating a package 22 ■ Creating dynamic reports 23 ■ Advanced graphics with the lattice package |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://www.manning.com/books/r-in-action-second-edition |
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