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Paperback. Condition: new. Paperback. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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ISBN 10: 1107655579 ISBN 13: 9781107655577
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ISBN 10: 1107655579 ISBN 13: 9781107655577
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ISBN 10: 1107655579 ISBN 13: 9781107655577
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Add to basketPaperback. Condition: new. Paperback. 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.
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Add to basketPaperback. Condition: new. Paperback. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Hardcover. Condition: new. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketHardcover. Condition: new. 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.
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Published by Cambridge University Press Jun 2017, 2017
ISBN 10: 1107040213 ISBN 13: 9781107040212
Language: English
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