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Quantitative methods in archaeology using R / David L. Carlson (Texas A & M University).

By: Material type: TextTextSeries: Cambridge manuals in archaeologyPublication details: Cambridge : Cambridge University Press , 2017.Description: 431pISBN:
  • 9781107040212 (hardback)
  • 9781107655577 (paperback)
Subject(s): DDC classification:
  • 930.1072/1
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.
Scope and content: "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"--Provided by publisher.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Archaeology Processing Center Dept. of Archaeology 930.1072 CAR.Q (Browse shelf(Opens below)) Available AGY5260

Includes bibliographical references.

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.

"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"--Provided by publisher.

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