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Quantitative Methods in Archaeology Using R: Cambridge Manuals in Archaeology

Autor David L. Carlson
en Limba Engleză Paperback – 25 iun 2017
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.
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Specificații

ISBN-13: 9781107655577
ISBN-10: 1107655579
Pagini: 448
Ilustrații: 94 b/w illus.
Dimensiuni: 177 x 252 x 21 mm
Greutate: 0.97 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Cambridge Manuals in Archaeology

Locul publicării:New York, United States

Cuprins

Introduction; 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; 20. References.

Notă biografică


Descriere

The first step-by-step guide to the quantitative analysis of archaeological data using the R statistical computing system.