Biostatistics with R: An Introductory Guide for Field Biologists

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. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. 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. Additional resources are provided on www.cambridge.org/biostatistics.

Jan Lepš is Professor of Ecology in the Department of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic. His main research interests include plant functional ecology, particularly the mechanisms of species coexistence and stability, and ecological data analysis. He has taught many ecological and statistical courses and supervised more than 80 student theses, from undergraduate to PhD.

Petr Šmilauer is Associate Professor of Ecology in the Department of Ecosystem Biology, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic. His main research interests are multivariate statistical analysis, modern regression methods and the role of arbuscular mycorrhizal symbiosis in the functioning of plant communities. He is co-author of multivariate analysis software Canoco 5, CANOCO for Windows 4.5 and TWINSPAN for Windows.