Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Statistics (LNS, volume 196)
Part of the book sub series: Lecture Notes in Statistics - Proceedings (LNSP)
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About this book
Quantitative social science research has been expanding due to the ava- ability 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 l- gua 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 ?nd 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 ?eld can be extended and used in many ?elds. 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.
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Table of contents (12 papers)
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Front Matter
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Back Matter
Reviews
“In the introduction of Advances in social Science Research Using R, the editor gives valuable short summaries of all chapters to point out that each one is of relevance beyond the scope of the disciplines where the methods or authors originate…Several chapters are well suited for social scientists interested in new methodology and how to use it in R. These chapters not only introduce advanced statistical techniques, but also walk the reader through their usage in R in a concise and yet instructive way…Other chapters show that …complex econometric research questions can be addressed with R…and illustrate the variety of advanced methods now available ….” (Journal of Statistical Software, Vol. 34, Book Review 2, April 2010)
Editors and Affiliations
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Bibliographic Information
Book Title: Advances in Social Science Research Using R
Editors: Hrishikesh D. Vinod
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-1-4419-1764-5
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2010
Softcover ISBN: 978-1-4419-1763-8Published: 12 January 2010
eBook ISBN: 978-1-4419-1764-5Published: 24 December 2009
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: XXIII, 205
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Econometrics, Monitoring/Environmental Analysis, Quantitative Finance, Public Health, Methodology of the Social Sciences