skip to content
Complex surveys : a guide to analysis using R Preview this item
ClosePreview this item

Complex surveys : a guide to analysis using R

Author: Thomas Lumley
Publisher: Hoboken, N.J. : John Wiley, ©2010.
Series: Wiley series in survey methodology.
Edition/Format:   eBook : Document : EnglishView all editions and formats
A complete guide to carrying out complex survey analysis using R. As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As  Read more...

(not yet rated) 0 with reviews - Be the first.

More like this

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...


Genre/Form: Electronic books
Additional Physical Format: Print version:
Lumley, Thomas, 1969-
Complex surveys.
Hoboken, N.J. : John Wiley, ©2010
(DLC) 2009033999
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Thomas Lumley
ISBN: 9780470580059 0470580054 9780470580066 0470580062 1282548301 9781282548305 9786612548307 6612548304
OCLC Number: 587389543
Language Note: English.
Description: 1 online resource (xv, 276 pages) : illustrations, map
Contents: Complex Surveys: A Guide to Analysis Using R; Contents; Acknowledgments; Preface; Acronyms; 1 Basic Tools; 2. Simple and Stratified sampling; 3. Cluster sampling; 4. Graphics; 5 Ratios and linear regression; 6 Categorical data regression; 7 Post-stratification, raking and calibration; 8 Two-phase sampling; 9 Missing data; 10 * Causal inference; Appendix A: Analytic Details; Appendix B: Basic R; Appendix C: Computational details; Appendix D: Database-backed design objects; Appendix E: Extending the package; References; Author Index; Topic Index.
Series Title: Wiley series in survey methodology.
Responsibility: Thomas Lumley.


* Incorporates the use of R subroutines in the analysis ofsurveys * Realistically large, but not technologically inaccessible, datasets are showcased to illustrate the need for and utility of the  Read more...


User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...


Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.