Practical Data Processing and Analysis Using R

Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining – also provides new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection in such varied fields a

L-functions associated to automorphic forms encode all classical number theoretic information. They are akin to elementary particles in physics. This book provides an entirely self-contained introduction to the theory of L-functions in a style accessible to graduate students with a basic knowledge of classical analysis, complex variable theory, and algebra. Also within the volume are many new results not yet found in the literature. The exposition provides complete detailed proofs of results in an easy-to-read format using many examples and without the need to know and remember many complex definitions. The main themes of the book are first worked out for GL(2,R) and GL(3,R), and then for the general case of GL(n,R). In an appendix to the book, a set of Mathematica functions is presented, designed to allow the reader to explore the theory from a computational point of view.

Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the challenges posed by less-than-perfect samples, giving background knowledge and practical guidance for those who have to deal with them. It explains why samples are, and sometimes should be, non-random in the first place; how to assess the degree of non-randomness; when correction by weighting is appropriate and how to apply it; and how the statistical treatment of these samples must be adapted. Extended data examples show the techniques at work. This is a book for practising researchers. It is a reference for the methods and formulae needed to deal with commonly encountered situations and, above all, a source of realistic and implementable solutions.

This is a practical introduction to multilevel analysis. It is written for non-mathematicians and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are

Parasitology is an immensely important aspect of biological science. This manual presents fifty easy-to-follow laboratory exercises for student practical (lab) classes. All the exercises are tried and tested by the authors and are used in a wide variety of university undergraduate teaching departments. They range from relatively simple observational exercises, using local materials and requiring little in the way of equipment, to more technically demanding experiments in physiology and molecular parasitology. Each exercise includes a list of necessary equipment, consumables and sources of parasite material, instructions for staff and students, including aspects of safety, expected results and some analysis provided by questions; there are ideas for further exploration and information on similar exercises, and lists of selected further reading. This book should be an essential purchase for all teachers of parasitology at the university undergraduate level and for students taking laborat

Increasingly environmental scientists, palaeoceanographers and geologists are collecting quantitative records of environmental changes (time-series) from sediments, ice cores, cave calcite, corals and trees. This book explains how to analyse these records, using straightforward explanations and diagrams rather than formal mathematical derivations. All the main cyclostratigraphic methods are covered including spectral analysis, cross-spectral analysis, filtering, complex demodulation, wavelet and singular spectrum analysis. Practical problems of time-series analysis, including those of distortions of environmental signals during stratigraphic encoding, are considered in detail. Recent research into various types of tidal and climatic cycles is summarised. The book ends with an extensive reference section, and an appendix listing sources of computer algorithms. This book provides the ideal reference for all those using time-series analysis to study the nature and history of climatic and

Computer vision is a rapidly growing field which aims to make computers 'see' as effectively as humans. In this book Dr Shapiro presents a new computer vision framework for interpreting time-varying imagery. This is an important task, since movement reveals valuable information about the environment. The fully-automated system operates on long, monocular image sequences containing multiple, independently-moving objects, and demonstrates the practical feasibility of recovering scene structure and motion in a bottom-up fashion. Real and synthetic examples are given throughout, with particular emphasis on image coding applications. Novel theory is derived in the context of the affine camera, a generalisation of the familiar scaled orthographic model. Analysis proceeds by tracking 'corner features' through successive frames and grouping the resulting trajectories into rigid objects using new clustering and outlier rejection techniques. The three-dimensional motion parameters are then compu

Whereas computer systems can easily handle even complicated and nonlinear mathematical models, human information processing is mainly based on linguistic knowledge. So the main advantage of using ling

This book was first published in 2004. Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by quantities that vary over time: stochastic processes are designed to study them. This book introduces practical methods of applying stochastic processes to an audience knowledgeable only in basic statistics. It covers almost all aspects of the subject and presents the theory in an easily accessible form that is highlighted by application to many examples. These examples arise from dozens of areas, from sociology through medicine to engineering. Complementing these are exercise sets making the book suited for introductory courses in stochastic processes. Software (available from www.cambridge.org) is provided for the freely available R system for the reader to apply to all the models presented.

A companion to the Insight Toolkit An introduction to the theory of modern medical image processing, including the analysis of data from - X-ray computer tomography, - magnetic resonance imaging, - nu

Introduces a series of effective techniques to solve essential problems in the Oracle database using PL/SQL, with a focus on the stored procedures, how to code them, and practical uses for them in the

The need to transmit and store massive amounts of data reliably and without error is a vital part of modern communications systems. Error-correcting codes play a fundamental role in minimising data corruption caused by defects such as noise, interference, crosstalk and packet loss. This book provides an accessible introduction to the basic elements of algebraic codes, and discusses their use in a variety of applications. The author describes a range of important coding techniques, including Reed-Solomon codes, BCH codes, trellis codes, and turbocodes. Throughout the book, mathematical theory is illustrated by reference to many practical examples. The book was first published in 2003 and is aimed at graduate students of electrical and computer engineering, and at practising engineers whose work involves communications or signal processing.

Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results. Features numerous examples using actual engineering and scientific studies. Presents statis

This definitive handbook uniquely documents the 2001 UK Census from both theoretical and practical perspectives. Collating a wide range of indicators, classification and analysis methods based on the

Along with providing a useful discussion of categorical data analysis techniques, this book shows how to apply these methods with the SAS System. The authors include practical examples from a broad ra

This book provides a simplified, practical, and innovative approach to understanding the design and manufacture of plastic products in the World of Plastics. The concise and comprehensive information

There have been substantial developments in the methodologies available for the non-destructive and non-invasive measurement of body composition in animals. By bringing together in a single volume a mix of traditional and well-established analytical methods with more modern techniques, Body Composition Analysis: A Handbook of Non-destructive Methods provides a theoretical overview of different methodologies combined with practical advice on the use of these techniques. Methods covered include the use of destructive methods of analysis, body condition indices, isotope and gas dilution methods, total body electrical conductivity, bio-impedance analysis, ultrasound scanning and dual energy X-ray absorptiometry. Aimed at active research workers from advanced undergraduate level upwards, this book will be of particular interest to those working in the fields of animal ecology, conservation biology, animal nutrition and physiology.

Geologists, engineers, and petrophysicists concerned with hydrocarbon production from naturally fractured reservoirs will find this book a valuable tool for obtaining pertinent rock data to evaluate r

Applied Equity Analysis treats stock valuation as a practical, hands-on tool rather than a vague, theoretical exercise—and covers the entire valuation process from financial statement analysis through

Parasitology is an immensely important aspect of biological science. This manual presents fifty easy-to-follow laboratory exercises for student practical (lab) classes. All the exercises are tried and tested by the authors and are used in a wide variety of university undergraduate teaching departments. They range from relatively simple observational exercises, using local materials and requiring little in the way of equipment, to more technically demanding experiments in physiology and molecular parasitology. Each exercise includes a list of necessary equipment, consumables and sources of parasite material, instructions for staff and students, including aspects of safety, expected results and some analysis provided by questions; there are ideas for further exploration and information on similar exercises, and lists of selected further reading. This book should be an essential purchase for all teachers of parasitology at the university undergraduate level and for students taking laborat

Using realistic examples and detailed case studies, this introduction to use case analysis guides the reader through the steps of this software development technique. Specific attention is given to i

Risk stratification is a statistical process by which quality of care can be assessed independently of patient case-mix. Evaluation of risk-adjusted patient outcome has become an important part of managed care contracting in some markets, and risk-adjusted outcome rates for hospitals are being reported more frequently in the popular press and on the internet. This book, written by a statistician and two surgeons for a clinical audience, is a practical guide to the process of risk stratification and does not require or assume an extensive mathematical background. It describes the rationale and assumptions for risk stratification, and provides information on evaluating the quality of various published risk-stratification studies. Numerous practical examples using real clinical data help to illustrate risk stratification in health care. The book also serves as a step-by-step guide to the production and dissemination of risk-adjusted outcome results for local programs.

Doing Science offers a rare compendium of practical advice based on how working scientists pursue their craft. It covers each stage of research, from formulating questions and gathering data to devel

Agroecologists from around the world share their experiences in the analysis and development of indicators of agricultural sustainability in Agroecosystem Sustainability: Developing Practical Strategi

This book covers the statistical concepts of sampling in agricultural pest management. These can be summarized as how to obtain sample data from the field and how to use the data in decision-making. O

`This excellent text will introduce advanced students - and remind senior researchers - of the availability of a broad range of techniques available for the systematic analysis of social data that is

A good working knowledge of statistical principles is needed for both the design and analysis of biological experiments and the subsequent handling of the large amounts of data generated if worthwhile

Presents mathematical models of turbine-generators, HVDC and FACTS controllers, and small signal analysis of SSR. Emphasis is on analysis using linearized models. Both damping torque and eigenvalue an

The urgent need to ensure the conservation of biological diversity is now widely recognised, but practical measures to protect endangered species and habitats are still carried out on a small scale and generally limited to developed countries. This volume provides a detailed analysis of the economic and scientific rationales for biodiversity conservation. It discusses the justification for, and implementation of intellectual property rights regimes as incentive systems to encourage conservation. An interdisciplinary approach is used in the book, encompassing fields of study that include evolutionary biology, chemistry, economics and legal studies. The arguments are presented using the case study of the use of medicinal plants in the pharmaceutical industry. The book will be of interest and relevance to a broad spectrum of conservationists, from research students to policy makers.

High-performance CCD cameras have opened up an exciting new window on the Universe for amateur astronomers. This book provides a complete, self-contained guide to choosing and using CCD cameras. We start with a no-nonsense introduction to how a CCD camera works and just what determines its performance. We are then shown how to use a CCD camera and calibrate accurately the images we obtain. A clear review is then provided of the software available for visualising, analysing and processing digital images. Finally, we are guided through a series of key areas in astronomy where we can make the best use of our CCD cameras. This handy volume is packed with practical tips. It provides a clear introduction to CCD astronomy for novices and an indispensable reference for more experienced amateur astronomers.

High-performance CCD cameras have opened up an exciting new window on the Universe for amateur astronomers. This book provides a complete, self-contained guide to choosing and using CCD cameras. We start with a no-nonsense introduction to how a CCD camera works and just what determines its performance. We are then shown how to use a CCD camera and calibrate accurately the images we obtain. A clear review is then provided of the software available for visualising, analysing and processing digital images. Finally, we are guided through a series of key areas in astronomy where we can make the best use of our CCD cameras. This handy volume is packed with practical tips. It provides a clear introduction to CCD astronomy for novices and an indispensable reference for more experienced amateur astronomers.

This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on examples from botany, zoology, ecology, and oceanography, as well as geology. Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence analysis, can reduce masses of data to manageable and interpretable form. Q-mode and Q-R-mode methods are also presented. Special attention is given to methods of robust estimation and the identification of atypical and influential observations. Throughout the book, the emphasis is on applicat

This book is an up-to-date introduction to univariate spectral analysis at the graduate level, which reflects a new scientific awareness of spectral complexity, as well as the widespread use of spectral analysis on digital computers with considerable computational power. The text provides theoretical and computational guidance on the available techniques, emphasizing those that work in practice. Spectral analysis finds extensive application in the analysis of data arising in many of the physical sciences, ranging from electrical engineering and physics to geophysics and oceanography. A valuable feature of the text is that many examples are given showing the application of spectral analysis to real data sets. Special emphasis is placed on the multitaper technique, because of its practical success in handling spectra with intricate structure, and its power to handle data with or without spectral lines. The text contains a large number of exercises, together with an extensive bibliography

This book is an up-to-date introduction to univariate spectral analysis at the graduate level, which reflects a new scientific awareness of spectral complexity, as well as the widespread use of spectral analysis on digital computers with considerable computational power. The text provides theoretical and computational guidance on the available techniques, emphasizing those that work in practice. Spectral analysis finds extensive application in the analysis of data arising in many of the physical sciences, ranging from electrical engineering and physics to geophysics and oceanography. A valuable feature of the text is that many examples are given showing the application of spectral analysis to real data sets. Special emphasis is placed on the multitaper technique, because of its practical success in handling spectra with intricate structure, and its power to handle data with or without spectral lines. The text contains a large number of exercises, together with an extensive bibliography

Expanded to cover more advanced applications where statistical properties of data can be nonstationary and the physical systems nonlinear as opposed to only linear. Stresses the practical use and inte

The use of social structure as a defining concept has produced a large body of creative speculations, insights, and intuitions about social life. In its broad-ranging examination of the kind of data t

With the low cost of modern computer hardware and software combined with the communication of price data via satellite, a new and rapidly expanding market of traders using computers has developed. Th

In all the experimental sciences, good design of experiments is crucial to the success of research. Well-planned experiments can provide a great deal of information efficiently and can be used to test several hypotheses simultaneously. This book is about the statistical principles of good experimental design and is intended for all applied statisticians and practising scientists engaged in the design, implementation and analysis of experiments. Professor Mead has written the book with the emphasis on the logical principles of statistical design and employs a minimum of mathematics. Throughout he assumes that the large-scale analysis of data will be performed by computers and he is thus able to devote more attention to discussions of how all of the available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from medicine, agriculture, industry and other disciplines. Numerous exercises are given t

This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-

Ecologists are making increasing use of computer methods in analyzing ecological data on plant and animal communities. Ecological problems naturally involve numerous variables and numerous individuals or samples. Multivariate techniques permit the summary of large, complex sets of data and provide the means to tackle many problems that cannot be investigated experimentally because of practical restraints. Ecologists are thus enabled to group similar species and similar sample sites together, and to generate hypotheses about environmental and historical factors that affect the communities. This timely book presents a full critical description of three methodologies - direct gradient analysis, ordination, and classification - from both theoretical and practical viewpoints. Both traditional and new methods are presented. Using a wide range of illustrative examples, Hugh Gauch provides an up-to-date synthesis of this field, which will be of interest to advanced students and ecologists. The