Advances in Social Science Research Using R
This book covers recent advances for quantitative researchers with practical examples from social sciences. The twelve chapters written by distinguished authors cover a wide range of issues--all providing practical tools using the free R software. McCullo
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H.D. Vinod Editor
Advances in Social Science Research Using R
123
Editor Hrishikesh D. Vinod, Ph. D. Department of Economics Fordham University 441 E. Fordham Road Bronx NY 10458 USA
ISBN 978-1-4419-1763-8 e-ISBN 978-1-4419-1764-5 DOI 10.1007/978-1-4419-1764-5 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2009942719 c Springer Science+Business Media, LLC 2010 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To My Daughter Rita, Son-in-Law Dale Knause, and My Grandchildren: Devin Vinod Knause and Troy Vinod Knause
Preface
Quantitative social science research has been expanding due to the availability of computers and data over the past few decades. Yet the textbooks and supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the lingua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages such as “car” [1] developed by social scientists are popular among all scientists. An early 2009 article [3] in the New York Times notes that statisticians, engineers and scientists without computer programming skills find R “easy to use.” A common language R can readily promote deeper mutual respect and understanding of unique problems facing quantitative work in various social sciences. Often the solutions developed in one field can be extended and used in many fields. This book promotes just such exchange of ideas across many social sciences. Since Springer has played a leadership role in promoting R, we are fortunate to have Springer publish this book. A Conference on Quantitative Social Science Research Using R was held in New York City at the Lincoln Center campus of Fordham University, June 18–19, 2009. This book contains selected papers presented at the conference, representing the “Proceedings” of the conference. The conference offered an opportunity for enthusiastic users of R to discuss their research ideas and some policy applications in social sciences, to learn, meet and mingle. Speakers included authors of books and/or packages for R, published researchers and editors
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