1. Introduction -- 2. Outliers -- 3. Normality and homogeneity -- 4. Relationships -- 5. Collinearity and confounding -- 6. Case study: methane fluxes -- 7. Case study: oystercatcher shell length -- 8. Case study: Hawaiian bird time series
Summary
"This book uses ecological datasets to discuss data exploration and visualisation tools. The authors also explain how to visualise the results of statistical models, an important aspect for publishing scientific papers. The book includes the R code needed to construct, visualise, and explore the main features of the data step by step."--Back cover
Notes
"A Beginner's Guide to Data Exploration and Visualisation with R is the fourth book in Highland Statistics' Beginner's Guide to ... series" -- Back cover
Bibliography
Includes bibliographical references (pages 155-158) and index
