Quantitative Methods in Archaeology Using R
Published on 28. June 2017
978-1-108-51467-5 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
College/higher education
Illustrations
Worked examples or Exercises; 11 Halftones, black and white; 83 Line drawings, black and white
File size
30,28 MB
ISBN-13
978-1-108-51467-5 (9781108514675)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
David L. Carlson
Quantitative Methods in Archaeology Using R
Book
06/2017
Cambridge University Press
€53.70
Shipment within 15-20 days
David L. Carlson
Quantitative Methods in Archaeology Using R
Book
06/2017
Cambridge University Press
€124.50
Shipment within 15-20 days
Person
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).
Content
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.
