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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…mehr
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.
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Autorenporträt
Andy Field is a Reader in Psychology at The University of Sussex. He adores cats, listens to and plays loud music and enjoys teaching statistics. His ability to make statistics accessible and fun has been recognised with teaching awards from the University of Sussex (2001) and the British Psychological Society (2006).
Inhaltsangabe
Chapter 1 Why Is My Evil Lecturer Forcing Me to Learn Statistics? Chapter 2 Everything You Ever Wanted to Know About Statistics (Well, Sort of) Chapter 3 The R Environment Chapter 4 Exploring Assumptions Chapter 5 Correlation Chapter 6 Regression Chapter 7 Logistic Regression Chapter 8 Comparing Two Means Chapter 9 Comparing Several Means: ANOVA (GLM 1) Chapter 10 Analysis of Covariance, ANCOVA (GLM 2) Chapter 11 Factorial ANOVA (GLM 3) Chapter 12 Repeated-Measures Designs (GLM 4) Chapter 13 Mixed Designs (GLM 5) Chapter 14 Non-Parametric Tests Chapter 15 Multivariate Analysis of Variance (MANOVA) Chapter 16 Exploratory Factor Analysis Chapter 17 Categorical Data Chapter 18 Multilevel Linear Models Epilogue: Life After Discovering Statistics