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Leading practitioners authoritatively describe the newest and most effective spectrometric techniques for the analysis of proteins and peptides. The areas covered range from the elucidation of primary and secondary protein structure and the rapid identification of proteins using database techniques to methods for sequencing, as well as methods for the quantitative determination of peptides. Other chapters provide detailed information on the analysis of glycoproteins and glycopeptides and on the use of mass spectrometry to probe the interactions of proteins, both covalent and noncovalent.
Up-to-Date Guidance from One of the Foremost Members of the R Core Team Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides programming guidance for projects of all scales, and introduces new, valuable techniques that extend R. The book first describes the fundamental characteristics and background of R, giving readers a foundation for the remainder of the text. It next discusses topics relevant to programming with R, including the apparatus that supports extensions. The book then extends R’s data structures through object-oriented programming, which is the key technique for coping with complexity. The book also incorporates a new structure for interfaces applicable to a variety of languages. A reflection of what R is today, this guide explains how to design and organize extensions to R by correctly using objects, functions, and interfaces. It enables current and future users to add their own contributions and packages to R. A 2017 Choice Outstanding Academic Title
Research in social and behavioral sciences has benefited from linear regression models (LRMs) for decades to identify and understand the associations among a set of explanatory variables and an outcome variable. Linear Regression Models: Applications in R provides you with a comprehensive treatment of these models and indispensable guidance about how to estimate them using the R software environment. After furnishing some background material, the author explains how to estimate simple and multiple LRMs in R, including how to interpret their coefficients and understand their assumptions. Several chapters thoroughly describe these assumptions and explain how to determine whether they are satis...
Fragmentation in Archaeology revolutionises archaeological studies of material culture, by arguing that the deliberate physical fragmentation of objects, and their (often structured) deposition, lies at the core of the archaeology of the Mesolithic, Neolithic and Copper Age of Central and Eastern Europe. John Chapman draws on detailed evidence from the Balkans to explain such phenomena as the mass sherd deposition in pits and the wealth of artefacts found in the Varna cemetery to place the significance of fragmentation within a broad anthropological context.
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