Quantitative Methods in Archaeology Using R (Cambridge Manuals in Archaeology)

Synopsis

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 -- 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 Generalized Linear Models -- 11. Manova And Canonical And Predictive Discriminant Analysis -- 12. Principal Components Analysis -- 13. Correspondence Analysis -- 14. Distances And Scaling -- 15. Cluster Analysis -- Part Iii. Archaeological Approaches To Data -- 16. Spatial Analysis -- 17. Seriation -- 18. Assemblage Diversity -- 19. Conclusions. David L. Carlson, Texas A & M University. Includes Bibliographical References (pages 415-422) And Index.