Discovering statistics using R/
Andy Field, Jeremy Mils and Zoe Field.
- New Delhi, India: Sage Publications, 2022.
- xli, 1030 pages; illustrations; 23 cm.
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.
9789354790805
R (Computer program language) Statistics--Data processing.