Quantitative methods in archaeology using R

1. Verfasser: Carlson, David Lee, 1952-
Ort/Verlag/Jahr: Cambridge : Cambridge University Press, 2017.
Umfang/Format: xiii, 431 p. : ill., graphics ; 26 cm.
Schriftenreihe: Cambridge manuals in archaeology.
Schlagworte:
Archaeology > Methodology.
Archaeology > Data processing.
R (Computer program language)
Quantitative research.
SOCIAL SCIENCE / Archaeology.
Parallelausgabe: Quantitative methods in archaeology using R. [Print]
Online Zugang: Online available (Cambridge Core)
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100 1 |a Carlson, David Lee,  |d 1952-  |9 123611 
245 1 0 |a Quantitative methods in archaeology using R /  |c David L. Carlson. 
260 |a Cambridge :  |b Cambridge University Press,  |c 2017. 
300 |a xiii, 431 p. :  |b ill., graphics ;  |c 26 cm. 
490 1 |a Cambridge manuals in archaeology 
590 |a Online publication 
590 |a ebook1117 
590 |a r1117 
504 |a Includes bibliographical references (p. 415-422) and index. 
505 0 |a 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. 
650 0 |a Archaeology  |x Methodology. 
650 0 |a Archaeology  |x Data processing. 
650 0 |a R (Computer program language) 
650 0 |a Quantitative research. 
650 7 |a SOCIAL SCIENCE / Archaeology.  |2 bisacsh 
856 4 1 |z Online available (Cambridge Core)  |u https://doi.org/10.1017/9781139628730 
830 0 |a Cambridge manuals in archaeology.  |9 61930 
776 0 8 |w 001503945  |t Quantitative methods in archaeology using R. [Print] 
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