Quantitative Methods in Archaeology Using R. Carlson, D. L. University Press, Cambridge, 2017. doi abstract bibtex 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.
@book{carlson_quantitative_2017,
address = {Cambridge},
series = {Cambridge {Manuals} in {Archaeology}},
title = {Quantitative {Methods} in {Archaeology} {Using} {R}},
isbn = {978-1-107-65557-7},
abstract = {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.},
language = {eng},
publisher = {University Press},
author = {Carlson, David L.},
year = {2017},
doi = {10.1017/9781139628730},
keywords = {Archaeology, Methodology, Quantitative research, R (Computer program language)},
}
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