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Learning Statistics with R
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  • Title Learning Statistics with R
  • Author(s) Daniel Navarro
  • Publisher: (2015); eBook (University of Adelaide, 2018. Updated Continuously)
  • License(s): CC BY-SA 4.0
  • Paperback 616 pages
  • eBook PDF
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: 978-1326189723
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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, t-tests, 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.
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