| Description |
1 online resource (431 pages) : illustrations |
| Contents |
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 |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Archaeology -- Methodology.
|
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Archaeology -- Data processing
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R (Computer program language)
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Quantitative research.
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Archaeology -- Data processing
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Archaeology -- Methodology
|
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Quantitative research
|
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R (Computer program language)
|
| Form |
Electronic book
|
| ISBN |
9781139628730 |
|
1139628739 |
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