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.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.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.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.Introduction; 1. Organization of the book; Part I. R and Basic Statistics: 2. Introduction to R; 3. Looking at data  numerical summaries; 4. Looking at data  tables; 5. Looking at data  graphs; 6. Transformations; 7. Missing values; 8. Confidence intervals and hypothesis testing; 9. Relating variables; Part II. Multivariate Methods: 10. Multiple regression and generalizl“3