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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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.
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The first step-by-step guide to the quantitative analysis of archaeological data using the R statistical computing system.
Product details
ISBN
9781107655577
Published
2017-06-26
Publisher
Cambridge University Press
Weight
940 gr
Height
252 mm
Width
177 mm
Thickness
21 mm
Age
P, U, 06, 05
Language
Product language
Engelsk
Format
Product format
Heftet
Number of pages
448
Author