R in Action: Data Analysis and Graphics with R, 2nd Edition

Автор: bhaer от 22-02-2017, 10:14, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ


Название: R in Action: Data Analysis and Graphics with R, 2nd Edition
Автор: Robert Kabacoff
Издательство: Manning
Год: 2015
Страниц: 608
Формат: PDF, EPUB, MOBI
Размер: 35 Mb
Язык: English

R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.

About the Technology

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.

About the Book

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.

What's Inside

Complete R language tutorial
Using R to manage, analyze, and visualize data
Techniques for debugging programs and creating packages
OOP in R
Over 160 graphs








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