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Quantitative Methods in Archaeology Using R

$42.99 (P)

Part of Cambridge Manuals in Archaeology

  • Date Published: June 2017
  • availability: Available
  • format: Paperback
  • isbn: 9781107655577

$ 42.99 (P)

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About the Authors
  • 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.

    • A hands-on approach to using archaeological data to answer research questions that will appeal to those who are interesting in applying quantitative methods to their data
    • Readers can move directly from descriptions of methods to examples showing how to use them
    • Descriptions of quantitative techniques include verbal description, key equations, and examples using real archaeological data
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    Product details

    • Date Published: June 2017
    • format: Paperback
    • isbn: 9781107655577
    • length: 448 pages
    • dimensions: 252 x 177 x 21 mm
    • weight: 0.94kg
    • contains: 94 b/w illus.
    • availability: Available
  • Table of 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
    20. References.

  • Author

    David L. Carlson, Texas A & M University
    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).

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