Quantitative Methods in Archaeology Using R

Nonfiction, Social & Cultural Studies, Social Science, Archaeology, History
Cover of the book Quantitative Methods in Archaeology Using R by David L. Carlson, Cambridge University Press
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Author: David L. Carlson ISBN: 9781108505734
Publisher: Cambridge University Press Publication: June 26, 2017
Imprint: Cambridge University Press Language: English
Author: David L. Carlson
ISBN: 9781108505734
Publisher: Cambridge University Press
Publication: June 26, 2017
Imprint: Cambridge University Press
Language: English

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.

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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.

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