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
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This book offers the first comprehensive study of Czech funerary practices to be published in English. It provides an in-depth account of the historical development of funeral traditions and customs in the Czech Lands from the beginning of the 20th century...
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This book combines photography and written text to analyse the role of memorials and commemoration sites in the construction of antagonistic nationalism. Taking Cypriot memorializations as a case study, it shows how these memorials often support, but...
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