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De Vries Andrie - R for dummies [making everything easier!; Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform

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De Vries Andrie R for dummies [making everything easier!; Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform
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Master the programming language of choice among statisticians and data analysts worldwide

Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R youll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful.

  • Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables
  • Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel
  • Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more
  • Visualize it ? learn to use Rs powerful data visualization features to create beautiful and informative graphical presentations of your data
  • Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests
  • Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes
  • Open the book and find:
  • Help downloading, installing, and configuring R
  • Tips for getting data in and out of R
  • Ways to use data frames and lists to organize data
  • How to manipulate and process data
  • Advice on fitting regression models and ANOVA
  • Helpful hints for working with graphics
  • How to code in R
  • What R mailing lists and forums can do for you

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R For Dummies by Andrie de Vries and Joris Meys R For Dummies Published by - photo 1

R For Dummies

by Andrie de Vries and Joris Meys

R For Dummies Published by John Wiley Sons Ltd The Atrium Southern Gate - photo 2

R For Dummies

Published by
John Wiley & Sons, Ltd
The Atrium
Southern Gate
Chichester
West Sussex
PO19 8SQ
England

Email (for orders and customer service enquires): Copyright 2012 John Wiley & Sons, Ltd, Chichester, West Sussex, England Published by John Wiley & Sons Ltd, Chichester, West Sussex

All rights reserved. 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 under the terms of the Copyright, Designs and Patents Act 1988 or under the terms of a licence issued by the Copyright Licensing Agency Ltd., Saffron House, 6-10 Kirby Street, London EC1N 8TS, UK, without the permission in writing of the Publisher. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, England, or emailed to , or faxed to (44) 1243 770620.

Trademarks: Wiley, the Wiley logo, For Dummies, the Dummies Man logo, A Reference for the Rest of Us!, The Dummies Way, Dummies Daily, The Fun and Easy Way, Dummies.com, Making Everything Easier, and related trade dress are trademarks or registered trademarks of John Wiley & Sons, Ltd. and/or its affiliates in the United States and other countries, and may not be used without written permission. All other trademarks are the property of their respective owners. John Wiley & Sons, Ltd. is not associated with any product or vendor mentioned in this book.

Limit of Liability/Disclaimer of Warranty: The publisher, the author, and anyone else in preparing this work make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation warranties of fitness for a particular purpose. No warranty may be created or extended by sales or promotional materials. The advice and strategies contained herein may not be suitable for every situation. This work is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional services. If professional assistance is required, the services of a competent professional person should be sought. Neither the publisher nor the author shall be liable for damages arising herefrom. The fact that an organization or Website is referred to in this work as a citation and/or a potential source of further information does not mean that the author or the publisher endorses the information the organization or Website may provide or recommendations it may make. Further, readers should be aware that Internet Websites listed in this work may have changed or disappeared between when this work was written and when it is read.

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Wiley also publishes its books in a variety of electronic formats and by print-on-demand. Some content that appears in standard print versions of this book may not be available in other formats. For more information about Wiley products, visit us at www.wiley.com .

British Library Cataloguing in Publication Data: A catalogue record for this book is available from the British Library.

ISBN 978-1-119-96284-7 (paperback); ISBN 978-1-119-96312-7 (ebook); ISBN 978-1-119-96313-4 (ebook); ISBN 978-1-119-96314-1 (ebook)

Printed and bound in the United States by Bind-Rite

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About the Authors

Andrie de Vries: Andrie started to use R in 2009 to analyze survey data, and he has been continually impressed by the ability of the open-source community to innovate and create phenomenal software. Andrie is director of PentaLibra Limited, a boutique market-research firm specializing in surveys and statistical analysis. He has contributed two R packages to CRAN and is developing several packages to make the analysis and reporting of survey data easier. He also is actively involved in the development of LimeSurvey, the open-source survey-management system. To maintain equilibrium in his life, Andrie is working toward a yoga teacher diploma at the Krishnamacharya Healing and Yoga Foundation.

Joris Meys, MSc: Joris is a statistical consultant and R programmer in the Department of Mathematical Modeling, Statistics, and Bioinformatics at Ghent University (Belgium). After earning a masters degree in biology, he worked for six years in environmental research and management before starting an advanced masters degree in statistical data analysis. Joris writes packages for both specific projects and general implementation of methods developed in his department, and he is the maintainer of several packages on R-Forge. He has co-authored a number of scientific papers as a statistical expert. To balance science with culture, Joris spends most of his spare time playing saxophone in a couple of local bands.

Dedication

This book is for my wife, Annemarie, because of her encouragement, support, and patience. And for my 9-year-old niece, Tanya, who is really good at math and kept reminding me that the deadline for this book was approaching!

Andrie de Vries

For my mother, because she made me the man I am. And for Granny, because she rocks!

Joris Meys

Authors Acknowledgments

This book is possible only because of the tremendous support we had from our editorial team at Wiley. In particular, thank you to Elizabeth Kuball for her patient and detailed editing and gentle cajoling, and to Sara Shlaer for pretending not to hear the sound of missed deadlines. Thank you to Kathy Simpson for teaching us how to write in Dummies style, and to Chris Katsaropoulos for getting us started.

Thank you to our technical editor, Gavin Simpson, for his thorough reading and many helpful comments.

Thank you to the R core team for creating R, for maintaining CRAN, and for your dedication to the R community in the form of mailing lists, documentation, and seminars. And thank you to the R community for creating thousands of useful packages, writing blogs, and answering questions.

In this book, we use several packages by Hadley Wickham, whose contribution of ggplot graphics and other helpful packages like plyr continues to be an inspiration.

While writing this book we had very helpful support from a large number of contributors to the R tag at Stack Overflow. Thank you to James (JD) Long, David Winsemius, Ben Bolker, Joshua Ulrich, Kohske Takahashi, Barry Rowlingson, Roman Lutrik, David Purdy, Nick Sabbe, Joran Elias, Brandon Bertelsen, Michael Sumner, Ian Fellows, Dirk Eddelbuettel, Simon Urbanek, Gabor Grotendieck, and everybody else who continue to make Stack Overflow a great resource for the R community.

From Andrie: Thank you to the large number of people who have influenced my choices. Professor Bruce Hardie at London Business School made a throwaway comment during a lecture in 2004 that first made me aware of R; his pragmatic approach to making statistics relevant to marketing decision makers was inspirational. Gary Bennett at Logit Research has been very helpful with his advice and a joy to work with. Paul Hutchings at Kindle Research was very supportive in the early stages of setting up my business.

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