Quantitative methods in archaeology using R
著者
書誌事項
Quantitative methods in archaeology using R
（Cambridge manuals in archaeology）
Cambridge University Press, 2017
- : hardback
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注記
Includes bibliographical references (p. [415]-422) and index
内容説明・目次
内容説明
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.
目次
- 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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