Includes Bibliography and index.

1.Why Is My Evil Lecturer Forcing Me to Learn Statistics?
2.Everything You Ever Wanted to Know about Statistics (Well, Sort of)
3.The R Environment Exploring Data with Graphs
4.Exploring Assumptions
5.Correlation
6.Regression
7.Logistic Regression
8.Comparing Two Means
9.Comparing Several Means: ANOVA (GLM 1)
10.Analysis of Covariance, ANCOVA (GLM 2)
11.Factorial ANOVA (GLM 3)
12.Repeated-measures Designs (GLM 4)
13. Mixed Designs (GLM 5)
14.Non-parametric Tests
15.Multivariate Analysis of Variance (MANOVA)
16.Exploratory Factor Analysis
17.Categorical Data
18. Multilevel Linear Models
19.Epilogue: Life after Discovering Statistics
20.Troubleshooting R Glossary Appendix References Index

Discovering Statistics Using R uses an irreverent and innovative approach to explain how students can use R to approach statistical problems. It introduces readers to the software environment of R and shows how it can be used in the field of statistics. The authors understand that the concepts of statistics can be difficult to access, so they use humour, and informal and conversational language for easy comprehension. The book includes multiple engaging examples and simple problems to ensure that the concepts of the software, as well as the statistical concepts, can be easily understood by the readers. Given this book’s accessibility, fun spirit, and use of bizarre real-world research, it is essential for anyone wanting to learn about statistics using the freely available R software.