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Discovering Statistics Using R and RStudio 2nd Revised edition

Paperback by Field, Andy

Discovering Statistics Using R and RStudio

£59.00

ISBN:
9781526461360
Publication Date:
11 Apr 2026
Edition/language:
2nd Revised edition / English
Publisher:
SAGE Publications Ltd
Pages:
1168 pages
Format:
Paperback
For delivery:
Not yet available: due Apr-2026
Discovering Statistics Using R and RStudio

Description

Taking you on a voyage of discovery through R and RStudio, this completely updated second edition combines real-world examples and humour with a hands-on 'how to' approach that brings statistics and programming to life. In his characteristic irreverent and engaging style, Andy Field takes a fun and flexible yet rigorous approach to doing statistics in a book that: Builds statistical understanding at an accessible pace, giving you the confidence to develop your statistics and programming knowledge Encourages self-testing and reflection so you can practice your new skills Offers support and resources for whatever your learning style and wherever you are on your journey via a cast of colourful characters With an exciting new look and new characters to meet, this is the go-to text for anyone in the social and behavioural sciences who wants to learn about statistics in R and R Studio.

Contents

Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics? Chapter 2: The SPINE of statistics Chapter 3: The phoenix of statistics Chapter 4: ARGH! ARGH!Studio and Quarto Chapter 5: Describing and visualizing data Chapter 6: The beast of bias Chapter 7: Correlation Chapter 8: The linear model (regression) Chapter 9: Categorical predictors: Comparing two means Chapter 10: A tale of three Ms: Moderation, mediation, and missingness Chapter 11: GLM 1: Comparing several independent means Chapter 12: GLM 2: Comparing means adjusted for other predictors (analysis of covariance) Chapter 13: GLM 3: Factorial designs Chapter 14: GLM 4: Multilevel linear models Chapter 15: GLM 5: Repeated-measures designs Chapter 16: GLM 6: Mixed designs Chapter 17: Exploratory factor analysis Chapter 18: Categorical outcomes: chi-square and loglinear analysis Chapter 19: Categorical outcomes: logistic regression Chapter 20: Epilogue Appendix Glossary

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