R in Action' presents both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features.
Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide. About the Book R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing. What's Inside Complete R language tutorial Using R to manage, analyze, and visualize data Techniques for debugging programs and creating packages OOP in R Over 160 graphs About the Author Dr. Rob Kabacoff is a seasoned researcher and teacher who specializes in data analysis. He also maintains the popular Quick-R website at statmethods.net. Table of Contents PART 1 GETTING STARTED Introduction to R Creating a dataset Getting started with graphs Basic data management Advanced data management PART 2 BASIC METHODS Basic graphs Basic statistics PART 3 INTERMEDIATE METHODS Regression Analysis of variance Power analysis Intermediate graphs Resampling statistics and bootstrapping PART 4 ADVANCED METHODS Generalized linear models Principal components and factor analysis Time series Cluster analysis Classification Advanced methods for missing data PART 5 EXPANDING YOUR SKILLS Advanced graphics with ggplot2 Advanced programming Creating a package Creating dynamic reports Advanced graphics with the lattice package available online only from manning.com/kabacoff2
R in Action' presents both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features.
Information Security Analytics gives you insights into the practice of analytics and, more importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques. Information Security Analytics dispels the myth that analytics within the information security domain is limited to just security incident and event management systems and basic network analysis. Analytic techniques can help you mine data and identify patterns and relationships in any form of security data. Using the techniques covered in this book, you will be able to gain security insights into unstructured big data of any type. The authors of Information Security Analytics bring a wealth of analytics experience to demonstrate practical, hands-on techniques through case studies and using freely-available tools that will allow you to find anomalies and outliers by combining disparate data sets. They also teach you everything you need to know about threat simulation techniques and how to use analytics as a powerful decision-making tool to assess security control and process requirements within your organization. Ultimately, you will learn how to use these simulation techniques to help predict and profile potential risks to your organization. - Written by security practitioners, for security practitioners - Real-world case studies and scenarios are provided for each analytics technique - Learn about open-source analytics and statistical packages, tools, and applications - Step-by-step guidance on how to use analytics tools and how they map to the techniques and scenarios provided - Learn how to design and utilize simulations for "what-if" scenarios to simulate security events and processes - Learn how to utilize big data techniques to assist in incident response and intrusion analysis
Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil variables i.e. maps of soil properties and classes at different resolutions. It is a multidisciplinary field combining statistics, data science, soil science, physical geography, remote sensing, geoinformation science and a number of other sciences. Predictive Soil Mapping with R is about understanding the main concepts behind soil mapping, mastering R packages that can be used to produce high quality soil maps, and about optimizing all processes involved so that also the production costs can be reduced. The online version of the book is available at: https: //envirometrix.github.io/PredictiveSoilMapping/ Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC's Global Soil Information Facilities (GSIF) development team over the period 2014-2017
Organization Development: Strategies for Changing Environments, Second Edition, aims to help managers of the future successfully plan for and manage changes in the workplace. The book teaches students how to conceptualize and implement planned interventions to increase organizational effectiveness. Building on the success of the previous edition, Smither, Houston, and McIntire maintain the foundational and historical organization development content while incorporating a number of key changes: new material on change management, globalization, diversity, sustainability, ethics, talent management, and emotional intelligence; a greater emphasis on the practical application of the theory; new case studies focusing on current business dilemmas that align with the chapter objectives. This edition brings this classic book into the 21st century, making it a valuable resource for students of organizational development, organizational behavior, change management, and leadership.
CD-ROM contains files that correspond to each chapter of the book. These files include keywords with definitions, related websites, review questions and slides that highlight the key points.
Acclaimed book from psychologist and lifelong Christian, Dr. Robert F. DeHaan, who writes about caring for his beloved wife Roberta as she embarks on a journey into Alzheimer’s disease. Perspectives on Science and the Christian Faith magazine says, “We have reviewed many books about Alzheimer’s. This book stands head and shoulders above the rest. We recommend it highly.”
Using examples of good as well as flawed research studies, this text explains how to decide whether the conclusions reported in an article are justified on the basis of the design and analysis of the experiment.
Using examples of good as well as flawed research studies, this text explains how to decide whether the conclusions reported in an article are justified on the basis of the design and analysis of the experiment.
Increase tourism in your community by designing and expanding your local convention and exposition services! This book provides you with solutions to the issues that can arise during the planning and production phases of constructing a facility as part of a community’s tourism infrastructure. In Current Issues in Convention and Exhibition Facility Development, you’ll find diverse perspectives from experts in a range of disciplines—including public policy, tourism, convention management, and urban planning. As more communities attempt to gain a share of the economically important meetings and exhibition market, this critical resource will aid university faculty, state and city government officials, and convention and visitors’ bureaus. Current Issues in Convention and Exhibition Facility Development examines the reasons why certain communities should create convention, event, or tourism centers. The strategies and tips presented in this book can help you select the most appropriate course of action for any given community, from locating the best area to build a center, to allocating space for an exhibition center in an already existing public building. This extensive guide addresses the political, economical, and environmental concerns that can prevent a convention center from ever leaving the drawing board. This book offers you practical advice on a number of concepts, including: linear planning in the first phase—ten questions communities must confront Dedicated Convention Centers (DCC)—the “mother lode” of convention/exhibit tourism capitalizing on the union of two industries—conventions and casinos the definition of “success” in the lifetime of a convention center capturing a share of the market without interfering with local venues the facts behind the illusions—investigating the empirical evidence behind the central myths of the convention and tradeshow industry Current Issues in Convention and Exhibition Facility Development is generously enhanced with figures, tables, models, and case studies to illuminate the facts you need to know to stay competitive.
Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide. About the Book R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing. What's Inside Complete R language tutorial Using R to manage, analyze, and visualize data Techniques for debugging programs and creating packages OOP in R Over 160 graphs About the Author Dr. Rob Kabacoff is a seasoned researcher and teacher who specializes in data analysis. He also maintains the popular Quick-R website at statmethods.net. Table of Contents PART 1 GETTING STARTED Introduction to R Creating a dataset Getting started with graphs Basic data management Advanced data management PART 2 BASIC METHODS Basic graphs Basic statistics PART 3 INTERMEDIATE METHODS Regression Analysis of variance Power analysis Intermediate graphs Resampling statistics and bootstrapping PART 4 ADVANCED METHODS Generalized linear models Principal components and factor analysis Time series Cluster analysis Classification Advanced methods for missing data PART 5 EXPANDING YOUR SKILLS Advanced graphics with ggplot2 Advanced programming Creating a package Creating dynamic reports Advanced graphics with the lattice package available online only from manning.com/kabacoff2
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