Fr. 66.00

Quantitative Methods in Archaeology Using R

English · Paperback / Softback

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Description

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

List of contents










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.

About the author

David L. Carlson is a Professor of Anthropology at Texas A & M University, where he has been teaching quantitative methods and the R statistical system to anthropology graduate students for eight years. His research focuses on the application of quantitative methods to discover and understand patterning in the distribution of artifacts on archaeological sites. He is a co-author of Clovis Lithic Technology (2011).

Summary

For archaeologists and anthropologists using quantitative methods on their data, this is the first hands-on guide to using the R statistical computing system. Basic descriptive and inferential statistics are covered as well as multivariate methods including cluster analysis, discriminant analysis, and correspondence analysis.

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