An Introductory Guide to R: Easing the Learning Curve PDF
Preview An Introductory Guide to R: Easing the Learning Curve
AN INTRODUCTORY GUIDE TO R An Introductory An Introductory Guide to Guide to r EEaassiinngg tthhee LLeeaarrnniinngg CCuurrvvee Easing the Learning Curve Eric L. Einspruch THE GUILFORD PRESS New York London Copyright © 2022 The Guilford Press A Division of Guilford Publications, Inc. 370 Seventh Avenue, Suite 1200, New York, NY 10001 www.guilford.com All rights reserved No part of this book may be reproduced, translated, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, microfilming, recording, or otherwise, without written permission from the publisher. Printed in the United States of America This book is printed on acid-free paper. Last digit is print number: 9 8 7 6 5 4 3 2 1 Library of Congress Cataloging-in-Publication Data is available from the publisher. ISBN: 978-1-4625-4989-4 (hardcover) ISBN: 978-1-4625-4988-7 (paperback) Acknowledgments I am grateful to everyone who has in some way contributed to this book. In particular, I very much appreciate the interest, support, and insights of C. Deborah Laughton, Publisher, Methodology and Statistics, and Senior Editor, Developmental Psychology and Geography, at The Guilford Press. It has been delightful to work together again. I want to express my gratitude to Steven R. Terrell, Nova Southeast- ern University, and Andrew F. Hayes, University of Calgary, for granting permission to use examples from their work. In addition, I want to thank the reviewers who provided helpful comments on the draft manuscript: Darlene Russ-Eft, Emeritus, College of Education, Oregon State Uni- versity; Charlotte Tate, Department of Psychology, San Francisco State University; Michele Parker, Department of Educational Leadership, University of North Carolina, Wilmington; Julie Combs, Department of Educational Leadership, Sam Houston State University; Katerina M. Marcoulides, Psychology, University of Minnesota; and Sierra A. Bainter, Psychology, University of Miami. I also thank the R Foundation and RStudio for allowing use of images and output from R and RStudio. I remain ever grateful to family members, friends, colleagues, and students who have supported my interests and contributed to my educa- tion across the years. v Contents Introduction CHAPTER 1. 1 Purpose of This Book 1 What You Will Be Able to Do after Reading This Book 2 Whom This Book Is For 3 Approach 3 Key Takeaways 5 Getting Started CHAPTER 2. 6 Download and Install R 7 Download and Install RStudio 10 RStudio Fundamentals 10 Download, Install, and Load R Packages 17 Read Data into R 19 Write Data Files 26 Entering Data via Inline Code 26 Cleaning Variable Names 27 Clearing the Console 27 Clearing the Environment 28 Some Thoughts on Debugging R Code 28 Key Takeaways 30 Exercises 31 Data Wrangling CHAPTER 3. 32 Example Data 33 The Pipe 34 Select Variables 34 Select Cases 37 vii
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