Discovering Statistics Using R
eBook - ePub
No longer available

Discovering Statistics Using R

Andy Field, Jeremy Miles, Zoë Field

  1. 992 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
No longer available

Discovering Statistics Using R

Andy Field, Jeremy Miles, Zoë Field

Book details
Table of contents
Citations

About This Book

Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field?s books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.

The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you?re doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.

Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.

Given this book?s accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.

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Information

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface
  6. How to use this book
  7. Acknowledgements
  8. Dedication
  9. Symbols used in this book
  10. Some maths revision
  11. 1 Why is my evil lecturer forcing me to learn statistics?
  12. 2 Everything you ever wanted to know about statistics(well, sort of) (well, sort of)
  13. 3 The R environment
  14. 4 Exploring data with graphs
  15. 5 Exploring assumptions
  16. 6 Correlation
  17. 7 Regression
  18. 8 Logistic regression
  19. 9 Comparing two means
  20. 10 Comparing several means: ANOVA (GLM 1)
  21. 11 Analysis of covariance, ANCOVA (GLM 2)
  22. 12 Factorial ANOVA (GLM 3)
  23. 13 Repeated-measures designs (GLM 4)
  24. 14 Mixed designs (GLM 5)
  25. 15 Non-parametric tests
  26. 16 Multivariate analysis of variance (MANOVA)
  27. 17 Exploratory factor analysis
  28. 18 Categorical data
  29. 19 Multilevel linear models
  30. Epilogue: life after discovering statistics
  31. Troubleshooting R
  32. Glossary
  33. Appendix
  34. References
  35. Index
  36. Functions in R
  37. Packages in R
Citation styles for Discovering Statistics Using R

APA 6 Citation

Field, A., Miles, J., & Field, Z. (2012). Discovering Statistics Using R (1st ed.). SAGE Publications Ltd. Retrieved from https://www.perlego.com/book/3799763 (Original work published 2012)

Chicago Citation

Field, Andy, Jeremy Miles, and Zoë Field. (2012) 2012. Discovering Statistics Using R. 1st ed. SAGE Publications Ltd. https://www.perlego.com/book/3799763.

Harvard Citation

Field, A., Miles, J. and Field, Z. (2012) Discovering Statistics Using R. 1st edn. SAGE Publications Ltd. Available at: https://www.perlego.com/book/3799763 (Accessed: 24 June 2024).

MLA 7 Citation

Field, Andy, Jeremy Miles, and Zoë Field. Discovering Statistics Using R. 1st ed. SAGE Publications Ltd, 2012. Web. 24 June 2024.