Cover of R in Action

R in Action

Summary

R in Actionis the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.

Read more

About the TechnologyR is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.

About the BookR in Actionis a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

What's Inside

Practical data analysis, step by step Interfacing R with other software Using R to visualize data Over 130 graphs Eight reference appendixes

================================

Table of Contents

Part I Getting started Introduction to R Creating a dataset Getting started with graphs Basic data management Advanced data management Part II Basic methods Basic graphs Basic statistics Part III Intermediate methods Regression Analysis of variance Power analysis Intermediate graphs Re-sampling statistics and bootstrapping Part IV Advanced methods Generalized linear models Principal components and factor analysis Advanced methods for missing data Advanced graphics

Audience
adult
Length
long · 472 pages

Click a tag to see books like this one that share it. Point at it (on a phone, tap it) for less of it instead.

Read it? Sign in to help tag it.

Liked R in Action? Here’s where I’d start.

These suit anyone who liked R in Action. Sign in and mark a few books for picks shaped around your own taste.

  1. The Art of R Programming: A Tour of Statistical Software Design Shares programming, data science, statistics
  2. R Graphics Cookbook Shares programming, data science, data
  3. R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics Shares programming, data science, technical
  4. R in a Nutshell: A Desktop Quick Reference Shares programming, data science, data

“People who read R in Action tend to reach for these next.”

  1. Data Mining With R: Learning By Case Studies
  2. Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
  3. Data Analysis with Open Source Tools
  4. Introduction to Information Retrieval

“If you want more of the same (science about technology), start with these.”

  1. The Definitive Guide to HTML5
  2. Database Management Systems
  3. Rails Recipes
  4. C++ Programming: From Problem Analysis to Program Design

“If it was the data science that hooked you, try one of these.”

  1. R Packages
  2. Think Stats
  3. ggplot2: Elegant Graphics for Data Analysis
  4. Python Data Science Handbook: Tools and Techniques for Developers

“These start from a similar idea, even if they go somewhere else with it.”

  1. Practical Statistics for Data Scientists: 50 Essential Concepts
  2. Introductory Statistics with R
  3. SPSS For Dummies
  4. Practical Data Science with R