Format:
1 Online-Ressource (xx, 431 pages)
,
digital, PDF file(s)
ISBN:
9781139628730
Series Statement:
Cambridge manuals in archaeology
Content:
Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically for archaeologists. It shows how to use the system to analyze many types of archaeological data. Part I includes tutorials on R, with applications to real archaeological data showing how to compute descriptive statistics, create tables, and produce a wide variety of charts and graphs. Part II addresses the major multivariate approaches used by archaeologists, including multiple regression (and the generalized linear model); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster analysis. Part III covers specialized topics in archaeology, including intra-site spatial analysis, seriation, and assemblage diversity
Content:
1. Organization of the book -- Part I. R and Basic Statistics -- 2. Introduction to R -- 3. Looking at data: Numerical summaries -- 4. Looking at data: Tables -- 5. Looking at data: Graphs -- 6. Transformations -- 7. Missing values -- 8. Confidence intervals and hypothesis testing -- 9. Relating variables -- Part II. Multivariate Methods -- 10. Multiple regression and generalized linear models -- 11. MANOVA and canonical and predictive discriminant analysis -- 12. Principal components analysis -- 13. Correspondence analysis -- 14. Distances and scaling -- 15. Cluster analysis -- Part III. Archaeological Approaches to Data -- 16. Spatial analysis -- 17. Seriation -- 18. Assemblage diversity -- 19. Conclusions
Note:
Title from publisher's bibliographic system (viewed on 11 Aug 2017)
Additional Edition:
ISBN 9781107040212
Additional Edition:
ISBN 9781107655577
Additional Edition:
Erscheint auch als Druck-Ausgabe Carlson, David L., 1952 - Quantitative methods in archaeology using R Cambridge, United Kingdom : Cambridge University Press, 2017 ISBN 9781107040212
Additional Edition:
ISBN 9781107655577
Language:
English
DOI:
10.1017/9781139628730
URL:
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