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 Title Learning Statistics with R
 Author(s) Daniel Navarro
 Publisher: lulu.com (2015); eBook (Creative Commons Licensed)
 License(s): Creative Commons License (CC)
 Paperback: 616 pages
 eBook: PDF
 Language: English
 ISBN10: N/A
 ISBN13: 9781326189723
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Book Description
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.
This book takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.
At its core, this is an introductory statistics textbook pitched primarily at psychology students. As such, it covers the standard topics that you'd expect of such a book: study design, descriptive statistics, the theory of hypothesis testing, ttests, X2 tests, ANOVA and regression.
About the Authors Daniel Navarro is a computational cognitive scientist at the University of New South Wales. My research focuses on human concept learning, reasoning and decision making.
 The R Programming Language
 Statistics, and SAS Programming
 Data Analysis and Data Mining
 Geographic Information System (GIS) and Web Mapping
 Learning Statistics with R (Daniel Navarro)
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