Kabacoff R.I. (2022). R in action : data analysis and graphics with R and Tidyverse. 3 ed. Shelter Island (USA) : Manning Publications. 622 p.
https://www.manning.com/books/r-in-action-third-edition
https://www.manning.com/books/r-in-action-third-edition
Titre : | R in action : data analysis and graphics with R and Tidyverse |
Auteurs : | R.I. Kabacoff |
Type de document : | Ouvrage |
Mention d'édition : | 3 |
Editeur : | Shelter Island (USA) : Manning Publications, 2022 |
Format : | 622 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 : |
Used daily by data scientists, researchers, and quants of all types, R is the gold standard for statistical data analysis. This free and open source language includes packages for everything from advanced data visualization to deep learning. Instantly comfortable for mathematically minded users, R easily handles practical problems without forcing you to think like a software engineer.
R in Action, Third Edition teaches you how to do statistical analysis and data visualization using R and its popular tidyverse packages. In it, youll investigate real-world data challenges, including forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like clustering, classification, and time series analysis. |
Note de contenu : |
Part 1: Getting started
1 Introduction to R 2 Creating a dataset 3 Basic data management 4 Getting started with graphs 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 graphs 20 Advanced programming 21 Creating dynamic reports 22 Creating a package |
Cote : | N7-KAB-2022 |
URL / DOI : | https://www.manning.com/books/r-in-action-third-edition |
Titre précédent : |
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Code-barres | Cote | Support | Localisation | Section | Disponibilité |
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28876 | N7-KAB-2022 | Papier | Centre de documentation | Espace Thématique | Disponible |