R in a Nutshell

Produktbeschreibung

If youâ€Öre considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. Youâ€Öll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.

Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop. * Get started quickly with an R tutorial and hundreds of examples * Explore R syntax, objects, and other language details * Find thousands of user-contributed R packages online, including Bioconductor * Learn how to use R to prepare data for analysis * Visualize your data with Râ€Ös graphics, lattice, and ggplot2 packages * Use R to calculate statistical fests, fit models, and compute probability distributions * Speed up intensive computations by writing parallel R programs for Hadoop * Get a complete desktop reference to R 

Inhaltsverzeichnis

* Preface

* R Basics

* Chapter 1: Getting and Installing R

* Chapter 2: The R User Interface

* Chapter 3: A Short R Tutorial

* Chapter 4: R Packages

* The R Language

* Chapter 5: An Overview of the R Language

* Chapter 6: R Syntax

* Chapter 7: R Objects

* Chapter 8: Symbols and Environments

* Chapter 9: Functions

* Chapter 10: Object-Oriented Programming

* Working with Data

* Chapter 11: Saving, Loading, and Editing Data

* Chapter 12: Preparing Data

* Data Visualization

* Chapter 13: Graphics

* Chapter 14: Lattice Graphics

* Chapter 15: ggplot2

* Statistics with R

* Chapter 16: Analyzing Data

* Chapter 17: Probability Distributions

* Chapter 18: Statistical Tests

* Chapter 19: Power Tests

* Chapter 20: Regression Models

* Chapter 21: Classification Models

* Chapter 22: Machine Learning

* Chapter 23: Time Series Analysis

* Additional Topics

* Chapter 24: Optimizing R Programs

* Chapter 25: Bioconductor

* Chapter 26: R and Hadoop

* R Reference

* Bibliography

* Colophon 

Kritik

"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians." - Martin Schultz, Arthur K. Watson Professor of Computer Science, Yale University 

Autoreninfo

Joseph Adler has years of experience working with lots of popular data mining packages, including databases (including Oracle, PostgreSQL, and MS Access), statistical analysis tools (SAS, SPSS, S-Plus, and R), and data mining tools (SAS Enterprise Miner, Insightful Miner, Oracle Data Mining, Weka, and SPSS Clementine). He is currently leading a project at Verisign to pick a data mining package for enterprise deployment.