Learning Statistics with R

Learning Statistics with R

This book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. It grows from materials used in the introductory statistics class for psychology students at the University of Adelaide.

Tag(s): R Statistics

Publication date: 18 Feb 2015

ISBN-10: 9781326189

ISBN-13: n/a

Paperback: 616 pages

Views: 2,631

Type: Textbook

Publisher: Self-publishing

License: Standard Copyright License

Post time: 11 May 2016 11:00:00

Learning Statistics with R

Learning Statistics with R This book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. It grows from materials used in the introductory statistics class for psychology students at the University of Adelaide.
Tag(s): R Statistics
Publication date: 18 Feb 2015
ISBN-10: 9781326189
ISBN-13: n/a
Paperback: 616 pages
Views: 2,631
Document Type: Textbook
Publisher: Self-publishing
License: Standard Copyright License
Post time: 11 May 2016 11:00:00
From the 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 and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives 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.




About The Author(s)


Dan Navarro is an Associate Professor in the Computational Cognitive Science Lab at The University of Adelaide. His primary interest is learning how the mind works.

Dan Navarro

Dan Navarro is an Associate Professor in the Computational Cognitive Science Lab at The University of Adelaide. His primary interest is learning how the mind works.


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