Book Title: Learning Statistics with R
Subtitle: A tutorial for psychology students and other beginners (v.0.6.1)
Translated by Emily Kothe
Book Description: Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts.
Contents
Book Information
Book Description
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.
License
Learning Statistics with R Copyright © by Danielle Navarro is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.
Metadata
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Learning Statistics with R Copyright © by Danielle Navarro is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.
This book is published under a Creative Commons BY-SA license (CC BY-SA) version 4.0. This means that this book can be reused, remixed, retained, revised and redistributed (including commercially) as long as appropriate credit is given to the authors. If you remix, or modify the original version of this open textbook, you must redistribute all versions of this open textbook under the same license – CC BY-SA. https://creativecommons.org/licenses/by-sa/4.0/