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Andrie de Vries - R For Dummies

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Andrie de Vries R For Dummies

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Mastering R has never been easier

Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R youll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel. Youll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more.

R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data. R provides a wide array of statistical and graphical techniques, and has become the standard among statisticians for software development and data analysis. R For Dummies, 2nd Edition takes the intimidation out of working with R and arms you with the knowledge and know-how to master the programming language of choice among statisticians and data analysts worldwide.

  • Covers downloading, installing, and configuring R
  • Includes tips for getting data in and out of R
  • Offers advice on fitting regression models and ANOVA
  • Provides helpful hints for working with graphics

R For Dummies, 2nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers.

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R For Dummies 2nd Edition Published by John Wiley Sons Inc 111 River - photo 1

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R For Dummies, 2nd Edition

Published by: John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030-5774, www.wiley.com

Copyright 2015 by John Wiley & Sons, Inc., Hoboken, New Jersey

Media and software compilation copyright 2015 by John Wiley & Sons, Inc. All rights reserved.

Published simultaneously in Canada

No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions .

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Library of Congress Control Number: 2015941928

ISBN 978-1-119-05580-8 (pbk); ISBN 978-1-119-05583-9 (epub); 978-1-119-05585-3 (epdf)

R For Dummies
Visit www.dummies.com/cheatsheet/R to view this book's cheat sheet.
  1. Table of Contents
Guide
Pages
Introduction

Welcome to R For Dummies, the book that helps you learn the statistical programming language R quickly and easily.

We cant guarantee that youll be a guru if you read this book, but you should be able to

  • Perform data analysis by using a variety of powerful tools.
  • Use the power of R to do statistical analysis and data-processing tasks.
  • Appreciate the beauty of using vector-based operations (rather than loops) to do speedy calculations.
  • Appreciate the meaning of the following line of code:

    knowledge <- apply(theory, 1, sum)

  • Know how to find, download, and use code that has been contributed to R by its very active community of developers.
  • Know where to find extra help and resources to take your R coding skills to the next level.
  • Create beautiful graphs and visualizations of your data.
About This Book

R For Dummies is an introduction to the statistical programming language known as R. We start by introducing the interface and work our way from the very basic concepts of the language through more sophisticated data manipulation and analysis.

We illustrate every step with easy-to-follow examples. This book contains numerous code snippets, several write-it-yourself functions you can use later on, and complete analysis scripts. All these are for you to try out yourself.

We dont attempt to give a technical description of how R is programmed internally, but we do focus as much on the why as on the how. R has many features that may seem surprising at first, so we believe its important to explain both how you should talk to R, and how the R engine interprets what you say. After reading this book, you should be able to manipulate your data in the form you want and understand how to use functions we didnt cover in the book (as well as the ones we do cover).

This book is a reference. You dont have to read it from beginning to end. Instead, you can use the table of contents and index to find the information you need. We cross-reference other chapters where you can find more information.

Changes in the Second Edition

Since the publication of the first edition, R has kept evolving and improving. To keep the book accurate, we updated the code to reflect any changes in the latest version of R (version 3.2.0). With the feedback from readers, students, and colleagues we could rework some sections to clarify issues and correct inaccuracies. For example, we modified the code to use double quotes instead of single quotes when using text strings. We also refer to the fundamental units of lists as components, rather than elements.

The new rfordummies package contains code examples in the book. Read all about it in Appendix B.

R and RStudio

R For Dummies can be used with any operating system that R runs on. Whether you use Mac, Linux, or Windows, this book will get you on your way with R.

R is more a programming language than an application. When you download R, you automatically download a console application thats suitable for your operating system. However, this application has only basic functionality, and it differs to some extent from one operating system to the next.

RStudio is a cross-platform application, also known as an Integrated Development Environment (IDE) with some very neat features to support R. In this book, we dont assume you use any specific console application. However, RStudio provides a common user interface across the major operating systems. For this reason, we use RStudio to demonstrate some of the concepts rather than any specific operating-system version of R.

Conventions Used in This Book

Code snippets appear like this example, where we simulate 1 million throws of two six-sided dice:

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