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With an emphasis on social science applications, this introductory text shows how to perform quantitative analyses using R. Developed from the author s short courses, the book helps readers go from raw data to results in a timely manner. Topics are organized based on the logical order of adequate quantitative analysis. The book is suitable for novices with little analysis or programming experience as well as more experienced researchers transitioning to R

"Ecology is about understanding how organisms interact with other organisms and the environment they inhabit (i.e. fundamental and realised niches). It is easy to imagine an individual organism of any kind as a dot with all sorts of arrows impinging upon it, an arrow can represent abiotic factors (temperature, light, etc.), as well as many arrows for all the other organisms (biotic factors, intra- and inter-specific interactions) that affect it. Ecology aims therefore to determine the magnitude and rate associated with some of the arrows, and which are the most important and why. Each organism also has its own effects on the same list of factors, even if the effects may be small, so we can also imagine arrows going out from the same dot, one to each of the same list of factors (they can be dots too). Again, a challenge is to determine the associated weights and importance for the arrows, some of which are directed toward other organisms. As soon as we consider more than a single organism, even just a few, we immediately have a complex structure of dots and arrows: an ecological network! It is an obvious step to consider ecological systems as ecological networks, and as such to assess how network theory (concepts and methods) might be applied to them. Network theory and the mathematics of graph theory that underlie network analysis provide simple concepts that can applied to systems that are complex both in structure and dynamics. It is those concepts that allow us to provide a sorted set of methods for the quantitative analysis of 10 ecological networks, along with thoughts and advice on how best to proceed. Through the years, the need to take a network analysis framework to study complex system has arisen in many fields (physics, computer science, communication science (transportation, electricity, social), and bio- and ecoinformatics), and there is a challenging diversity of approaches, methods, and measures that should be understood, or at least sorted, before applying them to our own data. The overarching goal of this book is to help ecologists in selecting the appropriate network methods to represent, analyse, and model their ecological system using network theory"--

Foundations for working with stata -- Getting to know stata -- The essentials -- Do files and data management -- Quantitative analysis with stata -- Descriptive statistics -- Relationships between nominal and ordinal variables -- Relationships between different measurement levels -- Relationships between interval-ratio variables -- Enhancing your command repertoire -- Chapter exercise solutions -- Alphabetical command index and glossary -- About the author

General Monographs, Alphabetically Arranged and Consisting of Methods for Quantitative Determination of the Substance, its Salts, and Preparations of Which it is a Principal Con- Stituent -- Synthetic Organic Compounds, Methods for Determination of Substances not Included in the General Monographs -- Essential Oils -- Oils, Fats and Waxes -- Appendices -- I. Determination of Alcohol Content -- II. Complexometric Titrations -- III. Non-aqueous Titrations -- IV. The Oxygen-Flask Combustion Technique -- V. Determination of Water -- VI. Extraneous Matter in Food and Drugs -- VII. Microbiological Assays -- VIII. Tests for Sterility -- IX. Pyrogen Testing -- X. Interpretation of Analytical Results -- XI. Destruction of Organic Matter -- XII. Extraction of Organic Chemicals from Viscera, etc. -- XIII. Electrometric Titrations -- XIV. Flame Photometry -- XV. Gas Chromatography -- XVI. Infra-Red Spectroscopy -- XVII. The Elimination of Emulsions -- XVIII. Lane and Eynon Sugar Titration Tables -- XIX. Hinton and Macara Chloramine Sucrose Corrections -- XX. Specific Gravity of Aqueous Glycerol -- XXI. International Atomic Weights, 1961 -- XXII. Weights and Measures, Conversion Tables -- General Index.