Practical Data Processing and Analysis Using R

A comprehensive guide to the art and science of bioimaging data acquisition, processing and analysis Standard and Super-Resolution Bioimaging Data Analysis gets newcomers to bioimage data analysis qui

This book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV refe

In this book, we provide an easy introduction to Bayesian inference using MCMC techniques, making most topics intuitively reasonable and deriving to appendixes the more complicated matters. The biolog

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustrationReaders will learn ho

How can how security personnel use the data they gather to harden networks and defend systems? With this practical book, you’ll learn how to use tools to collect data, make defensible security judgeme

Cybermetric Techniques to Evaluate Organizations Using Web-Based Data proposes a complete and multifaceted analysis model, integrating quantitative and qualitative measures (extracted from web usabili

This is an authoritative and practical guide to collecting, analysing and managing data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor i

This is an authoritative and practical guide to analysing business data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor in today’s busine

This dynamic, engaging guide empowers you to go beyond bar charts and jargon-filled journal articles to bring your research online and present it in a way that highlights and maximises its relevance t

This dynamic, engaging guide empowers you to go beyond bar charts and jargon-filled journal articles to bring your research online and present it in a way that highlights and maximises its relevance t

A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for rai

This book discusses the application of Geospatial data, Geographic Information System (GIS) and Remote Sensing (RS) technologies in analysis and modeling of urban growth process, and its pattern,

Access and clean up data easily using JMP®! Data acquisition and preparation commonly consume approximately 75% of the effort and time of total data analysis. JMP provides many visual, intuitive, and

This guide shows librarians how to address the technical and conceptual challenges of migrating services, records, and types of data using existing staff and commonly available technical resources.

Apply analytics to business problems using two very popular software tools, SAS and R. No matter your industry, this book will provide you with the knowledge and insights you and your business partner

This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration ba

This practical business analytics in sport book provides students and industry leaders with innovative strategies to collect data and convert it into meaningful information that enables sport business

This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration bas

During the last two decades, structural equation modelling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, p

As in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geare

This book provides practical knowledge to biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and popula

A practical guide for the design of laboratory and field experiments, selection of appropriate instrumentation and experimental methodologies, as well as for conducting and analyzing experimental stud

Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical engineering and describes typical applications. The book presents the k

The emergence of intelligent technologies, sophisticated natural language processing methodologies and huge textual repositories, invites a new approach for the challenge of automatically identifying

This book is a reference for anyone using SAS to analyse complex survey data. It covers all the nuances of the methodology, with detailed worked examples, and guidance on how to implement all the meth

Tools for amateur astronomers who wish to go beyond CCD imaging and step into ‘serious’ science. The text offers techniques for gathering, analyzing, and publishing data, and describes joint projects

Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB®/Octave code illustrating some of the algorithms will be availab

This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field.With ex

This handbook compiles state-of-the-art empirical studies and applications using Data Envelopment Analysis (DEA). It includes a collection of 18 chapters written by DEA experts. Chapter 1 examines the

This monograph focuses on the use of analysis and processing methods for images from the CorvisR ST tonometer. The presented analysis is associated with the quantitative, repeatable and fully automati

Designed for researchers and data analysts, this book presents rigorous statistical methods without burdening readers with mathematical theory. Readers see how linear regression and ANOVA can be used

Geodemographics is a technique of market segmentation and a well-established data-driven analysis tool for marketers. Since its inception in 1979, its classifications have been widely used in customer

In a textbook for a master's level year-long statistics course on regression and analysis of variance, Christensen shows show to analyze small data sets by using tools that can easily be scaled to lar

This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience. The only prerequisite is a first-year statistics course and familiarity with a computing package such as R, Stata, SPSS, or SAS. Though the book is not tied to a particular computing language, its figures and analyses were all created using R. Relevant R code, data sets, and links to public data sets are available from www.cambridge.org/97811071130

Learn to use powerful Python libraries for effective data processing and analysisAbout This BookLearn the basic processing steps in data analysis and how to use Python in this area through supported p

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and stor

Introducing a new practical approach within the field of applied mechanics developed to solve beam strength and bending problems using classical beam theory and beam modeling, this outstandi

Bridging the gap between the marketer who must put text analytics to use and data analysis experts,Practical Text Analytics is an accessible guide to the many advances in text analytics. It explains t

Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis

Supercharge options analytics and hedging using the power of PythonDerivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financ