Quantitative Methods in Archaeology Using R
£36.99
Part of Cambridge Manuals in Archaeology
- Author: David L. Carlson, Texas A & M University
- Date Published: June 2017
- availability: Available
- format: Paperback
- isbn: 9781107655577
£
36.99
Paperback
Other available formats:
Hardback, eBook
Looking for an inspection copy?
This title is not currently available on inspection
-
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.
Read more- A hands-on approach to using archaeological data to answer research questions that will appeal to those who are interesting in applying quantitative methods to their data
- Readers can move directly from descriptions of methods to examples showing how to use them
- Descriptions of quantitative techniques include verbal description, key equations, and examples using real archaeological data
Customer reviews
Not yet reviewed
Be the first to review
Review was not posted due to profanity
×Product details
- Date Published: June 2017
- format: Paperback
- isbn: 9781107655577
- length: 448 pages
- dimensions: 252 x 177 x 21 mm
- weight: 0.94kg
- contains: 94 b/w illus.
- availability: Available
Table of Contents
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.
Related Books
related journals
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org
Register Sign in» Proceed
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.
Continue ×Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.
×