Quantitative Methods in Archaeology Using R (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2017
- Hardcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 132.08
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Add to basketItem description from seller
Hardcover. 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. For archaeologists and anthropologists using quantitative methods on their data, this is the first hands-on guide to using the R statistical computing system. Basic descriptive and inferential statistics are covered as well as multivariate methods including cluster analysis, discriminant analysis, and correspondence analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9781107040212
- Title
- Quantitative Methods in Archaeology Using R (Hardcover)
- Author
- David L. Carlson
- Publisher
- Cambridge University Press, Cambridge
- Publication year
- 2017
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1107040213
- ISBN 13
- 9781107040212
- Series
- Book 11 of 13: Cambridge Manuals in Archaeology
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Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
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