With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You'll gain valuable programming skills and support your work as a data scientist at the same time.Work hands-on with three practical data analysis projects based on casino gamesStore, retrieve, and change data values in your computer's memoryWrite programs and simulations that outperform those written by typical R usersUse R programming tools such as if else statements, for loops, and S3 classesLearn how to write lightning-fast vectorized R codeTake advantage of R's package system and debugging toolsPractice and apply R programming concepts as you learn them

    The 32 theories represented in the text reflect a mix of foundational and recent scholarship and strike a balance of scientific and interpretive approaches.

    But as the field evolves, designers enter the field from many disciplines. Practitioners today have enough experience in UI design that they have been exposed to design rules, but it is essential that they understand the psychology behind the rules in order to effectively apply them. In "Designing with the Mind in Mind," Jeff Johnson, author of the best selling "GUI Bloopers," provides designers with just enough background in perceptual and cognitive psychology that UI design guidelines make intuitive sense rather than being just a list of rules to follow. * The first practical, all-in-one source for practitioners on user interface design rules and why, when and how to apply them.* Provides just enough background into the reasoning behind interface design rules that practitioners can make informed decisions in every project.* Gives practitioners the insight they need to make educated design decisions when confronted with tradeoffs, including competing design rules, time constrictions, or limited resources.

    Thiroux first wrote this text 1977 in order to educate readers about ethical theory and its applications in a way that beginning students could understand. The result was an accessible text that isn't too technical and doesn't plunge into complex readings without sufficient background. The text is fully updated with global issues and non-Western ethical views. Keith W. Krasemann now continues Thiroux's efforts of making Ethical Ideas accesible to students. Besides updating the foundations of the text, Krasemann incoporates new and relevant material, most of which is often unique only to this text.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    Ong offers fascinating insights into oral genres across the globe and through time, and examines the rise of abstract philosophical and scientific thinking. He considers the impact of orality-literacy studies not only on literary criticism and theory but on our very understanding of what it is to be a human being, conscious of self and other.This is a book no reader, writer or speaker should be without.

    The Landscape of History provides a searching look at the historian's craft, as well as a strong argument for why a historical consciousness should matter to us today.Gaddis points out that while the historical method is more sophisticated than most historians realize, it doesn't require unintelligible prose to explain. Like cartographers mapping landscapes, historians represent what they can never replicate. In doing so, they combine the techniques of artists, geologists, paleontologists, and evolutionary biologists. Their approaches parallel, in intriguing ways, the new sciences of chaos, complexity, and criticality. They don't much resemble what happens in the social sciences, where the pursuit of independent variables functioning with static systems seems increasingly divorced from the world as we know it. So who's really being scientific and who isn't? This question too is one Gaddis explores, in ways that are certain to spark interdisciplinary controversy.Written in the tradition of Marc Bloch and E.H. Carr, The Landscape of History is at once an engaging introduction to the historical method for beginners, a powerful reaffirmation of it for practitioners, a startling challenge to social scientists, and an effective skewering of post-modernist claims that we can't know anything at all about the past. It will be essential reading for anyone who reads, writes, teaches, or cares about history.

    Lehninger Principles of Biochemistry, Fourth Edition brings clarity and coherence to an often unwieldy discipline, while incorporating the field's most important recent developments and applications.

    Professor Douglas makes points which illuminate matters in the philosophy of religion and the philosophy of science and help to show the rest of us just why and how anthropology has become a fundamentally intellectual discipline.

    The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your dataWonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time.--Jeffrey Ryan, software consultant and R package author

    DLC: Quantum theory.

    It discusses neuroanatomy, cell and molecular mechanisms and signaling through a cognitive approach to behaviour. It features an expanded treatment of the nervous system, neurological and psychiatric diseases and perception.

    The book focuses on the concepts of statistics with applications to the functional areas of business. It is rich in applications from accounting, finance, marketing, management and economics, covering data collection, tables and charts, probability, estimation, and more. For professionals, particularly managers, making financial analyses and decisions.

    Covering all of the fundamentals in a straightforward, student-friendly manner, it is ideal for undergraduate- and graduate-level courses across the social sciences and also serves as an indispensable guide for researchers. Striking a balance between specific techniques and the underlying logic of scientific inquiry, this book provides a lucid treatment of the four major approaches to research: experimentation, survey research, field research, and the use of available data. Richly developed examples of empirical research and an emphasis on the research process enable students to better understand the real-world application of research methods. The authors also offer a unique chapter (13) advocating a multiple-methods strategy.

    Written in uncommonly engaging, lucid, and elegant prose, this text is an understand-it-yourself, do-it-yourself manual designed to help research students in any discipline understand the fundamental structure of quality research and the methodical process that leads to genuinely significant results. It guides the reader, step-by-step, from the selection of a problem to study, through the process of conducting authentic research, to the preparation of a completed report, with practical suggestions based on a solid theoretical framework and sound pedagogy. Suited for the core text in any introductory research course or even for self-instruction, this text will show students two things: 1) that quality research demands planning and design; and, 2) how their own research projects can be executed effectively and professionally.