Biostatistics with R provides a straightforward introduction on how to analyse data from the wide Field of biological research, including nature protection and global change monitoring.
Additional resources are provided on www.cambridge.org/biostatistics..
This accessible textbook will serve a broad audience, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of Introductory undergraduate courses.
The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers.
All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results.
Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions.
The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees.
The book is centred around traditional statistical approaches, focusing on those prevailing in research publications.
Biostatistics with R provides a straightforward introduction on how to analyse data from the wide Field of biological research, including nature protection and global change monitoring
