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David L. Carlson - Quantitative Methods in Archaeology Using R - 9781107040212 - V9781107040212
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Quantitative Methods in Archaeology Using R

€ 111.93
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Description for Quantitative Methods in Archaeology Using R hardcover. The first step-by-step guide to the quantitative analysis of archaeological data using the R statistical computing system. Series: Cambridge Manuals in Archaeology. Num Pages: 440 pages, 94 b/w illus. BIC Classification: HDA; HDW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 253 x 177. .
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 ... Read more

Product Details

Format
Hardback
Publication date
2017
Publisher
Cambridge University Press United Kingdom
Number of pages
440
Condition
New
Series
Cambridge Manuals in Archaeology
Number of Pages
452
Place of Publication
Cambridge, United Kingdom
ISBN
9781107040212
SKU
V9781107040212
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-8

About David L. Carlson
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 ... Read more

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