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 Clovis Lithic Technology (2011).
Inhaltsangabe
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 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 20. References.
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 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 20. References.
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