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Quantitative Methods in Archaeology Using R
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Quantitative Methods in Archaeology Using R

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ProduktVarenr.PrisHandling
Quantitative Methods in Archaeology Using R9781107655577349,95 krTil butik
Quantitative Methods in Archaeology Using R9781107655577349,95 krTil butik

Produktdetaljer

Quantitative Methods in Archaeology Using R

Quantitative Methods in Archaeology Using R

David L. CarlsonBog

349,95 kr

Til butik
Varenr.:
9781107655577

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

Quantitative Methods in Archaeology Using R

David L. CarlsonData- og informationsteknologi

349,95 kr

Til butik
Varenr.:
9781107655577

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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