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20
TEXTBOOKS
&
HANDBOOKS
A SURVIVOR'S GUIDE TO R: An Introduction for the Uninitiated and the Unnerved
Kurt Taylor Gaubatz, Old Dominion University
Focusing on developing practical R skills rather than teaching pure statistics, A Survivor's Guide to R provides a gentle
yet thorough introduction to R. The book is structured around critical R tasks, and focuses on applied knowledge, rather
than abstract concepts. Gaubatz's easy-to-read approach helps students with little or no background in statistics or
programming to develop real-world R skills through straightforward coverage of R objects and functions.
CONTENTS 1: Getting Started / 2: A Sample Session / 3: Object Types in R / 4: Getting Your Data Into R / 5: Reviewing and Summarizing Data /
6: Sorting and Selecting Data / 7: Transforming Data / 8: Text Operations / 9: Working With Date And Time DataDates in R / 10: Data Merging And
Aggregation / 11: Dealing with Missing Data / 12: R Graphics I: The Built-in Plots / 13: R Graphics II: The Boring Stuff / 14: R Graphics III: The Fun
Stuff--Text / 15: R Graphics IV: The Fun Stuff--Shapes / 16: from Here to Where?
PAPERBACK ISBN: 978-1-4833-4673-1 • ©2015 • 488 PAGES • •
online
resources
AN R COMPANION TO APPLIED REGRESSION SECOND EDITION
John Fox, McMaster University, Canada • Sanford Weisberg, University of Minnesota
This is a broad introduction to the R statistical computing environment in the context of applied regression analysis,
providing a step-by-step guide to using the high-quality free statistical software R, an emphasis on integrating
statistical computing in R, and coverage of generalized linear models, and R graphics and programming.
CONTENTS 1. Getting Started With R / 2. Reading and Manipulating Data / 3. Exploring and Transforming Data / 4. Fitting Linear Models / 5.
Fitting Generalized Linear Models / 6. Diagnosing Problems in Linear and Generalized Linear Models / 7. Drawing Graphs / 8. Writing Programs
PAPERBACK ISBN: 978-1-4129-7514-8 • ©2011 • 472 PAGES •
AN INTRODUCTION TO R FOR SPATIAL ANALYSIS AND MAPPING
Chris Brunsdon, National University of Ireland • Lex Comber, University of Leicester, U.K.
PAPERBACK ISBN: 978-1-4462-7295-4 • ©2016 • 360 PAGES •
SEE ALSO GEOGRAPHICAL RESEARCH SECTION, PAGE 49 FOR MORE INFORMATION ON THIS TEXT.
Statistical Software - Other
USING STATA FOR QUANTITATIVE ANALYSIS SECOND EDITION
Kyle C. Longest, Furman University
Using Stata for Quantitative Analysis, Second Edition offers a brief, but thorough introduction to analyzing data with
Stata software. It can be used as a reference for any statistics or methods course across the social, behavioral, and
health sciences since these fields share a relatively similar approach to quantitative analysis. The Second Edition
covers the use of Stata 13 and can be used on its own or as a supplement to a research methods or statistics
textbook.
CONTENTS PART I: FOUNDATIONS FOR WORKING WITH STATA / 1: Getting to Know Stata / 2: The Essentials / 3: Do Files and Data Management /
PART II: QUANTITATIVE ANALYSIS WITH STATA / 4: Descriptive Statistics / 5: Relationships Between Nominal and Ordinal Variables / 6: Relationships
Between Different Measurement Levels / 7: Relationships Between Interval-Ratio Variables / 8: Enhancing Your Command Repertoire / Appendix A:
Getting to Know Stata / Appendix B: Getting to Know Stata / Chapter Exercise Solutions / "How To" Index
PAPERBACK ISBN: 978-1-4833-5663-1 • ©2015 • 272 PAGES • •
online
resources
APPLIED ORDINAL LOGISTIC REGRESSION USING STATA: From Single-Level to
Multilevel Modeling
Xing Liu, Eastern Connecticut State University
PAPERBACK ISBN: 978-1-4833-1975-9 • ©2016 • 552 PAGES • •
online
resources
SEE ALSO ADVANCED STATISTICS - SPECIFIC TOPICS SECTION, PAGE 23 FOR MORE INFORMATION ON THIS TEXT.
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