The book "Biostatistics with R" is an introduction to the methodology of data analysis from the broad field of biological research, including nature conservation and monitoring global changes. The book focuses on traditional statistical approaches, emphasizing those that appear more frequently in research work. The authors cover t-tests, ANOVA, and regression models, as well as advanced methods such as generalized linear models and classification and regression trees. Chapters typically begin with various useful illustrative examples, describing the structure of representative datasets and formulating research questions.

All chapters are supplemented with examples of datasets that are explained in detail, with step-by-step presentation of the code in R that demonstrates the analytical procedures, and interpretation of the results. The authors also provide examples for appropriately describing the statistical procedures and the results of the analyses in research work. This manual will serve a wide audience of interested readers, from students, researchers, or professionals who wish to improve their daily statistical practice, to instructors of introductory undergraduate courses.