Document Type
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BL
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Record Number
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838882
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Main Entry
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Carlson, David Lee,1952-
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Title & Author
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Quantitative methods in archaeology using R /\ David L. Carlson (Texas A M University).
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Publication Statement
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Cambridge, United Kingdom ;New York, NY :: Cambridge University Press,, 2017.
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Series Statement
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Cambridge manuals in archaeology
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Page. NO
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xx, 431 pages :: illustrations ;; 26 cm.
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ISBN
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1107040213
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: 1107655579
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: 9781107040212
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: 9781107655577
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9781108514675 (PDF ebook)
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Bibliographies/Indexes
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Includes bibliographical references and index.
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Contents
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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.
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Abstract
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"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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Subject
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Archaeology-- Data processing.
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Subject
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Archaeology-- Methodology.
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Subject
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Quantitative research.
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Subject
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R (Computer program language)
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Subject
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Archaeology-- Data processing.
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Subject
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Archaeology-- Methodology.
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Subject
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Quantitative research.
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Subject
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R (Computer program language)
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Subject
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SOCIAL SCIENCE / Archaeology.
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Dewey Classification
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930.1072/1
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LC Classification
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CC80.4.C37 2017
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NLM classification
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SOC003000bisacsh
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