Download Ebook Quantitative Methods in Archaeology Using R (Cambridge Manuals in Archaeology)
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Quantitative Methods in Archaeology Using R (Cambridge Manuals in Archaeology)
Download Ebook Quantitative Methods in Archaeology Using R (Cambridge Manuals in Archaeology)
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Book Description
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.
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About the Author
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).
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Product details
Series: Cambridge Manuals in Archaeology
Paperback: 452 pages
Publisher: Cambridge University Press (June 26, 2017)
Language: English
ISBN-10: 9781107655577
ISBN-13: 978-1107655577
ASIN: 1107655579
Product Dimensions:
7 x 1 x 10 inches
Shipping Weight: 1.7 pounds (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
1 customer review
Amazon Best Sellers Rank:
#792,794 in Books (See Top 100 in Books)
Carlson's book covers statistical study in archaeological contexts using the R statistical programming language. R is an open source, free version of the S-Plus language. It has a steep learning curve and can be daunting to people expecting a more GUI oriented approach to statistics. But ... it's free. And over two decades it has become an international standard with thousands of packages dedicated to specific disciplines and implementing routines that are not directly implemented by the primary source. Carlson's book provides a strong background and basic structure of analysis that will benefit many archaeologists, who are often trained to use spreadsheets - shudder - as databases, and innocently trust the canned routines included. QMAUR however, addresses things like examing the data first, plotting and conducting exploratory analysis to detect oddities, errors and outliers that require attention, correction or further treatment. It is a first class work for any archaeologist interested statistics and limited in budget.
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