Leanpub, 2023. — 388 p. Photobiology is the branch of science that studies the interactions of living organisms with visible and ultraviolet radiation. This book first presents the theory behind calculations related to research in photobiology and describes how to use R as a tool for carrying out these calculations. This handbook describes how to use R as a tool for doing...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN-13: 978-1-492-09648-1. Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible...
CRC Press, 2022. — 549 p. — (The R Series). — ISBN: 978-1 -032 -19385-4. Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some...
Guilford Press, 2022. — 196 p. — ISBN 978-1462549887. A friendly, straightforward guide that does not assume knowledge of programming, this book helps new R users hit the ground running. Eric L. Einspruch provides an overview of the software and shows how to download and install R, RStudio, and R packages. Featuring example code, screenshots, tips, learning exercises, and...
3rd Edition. — Cambridge University Press, 2021. — 280 p. — ISBN 978-1-108-99345-6. This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings...
Oxford: Oxford University Press, 2021. — 314 p. Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solving problems, guiding decisions, and formulating strategy. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and yet gaining...
Boca Raton: CRC Press, 2022. — 302 p. This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible. Working through the exercises and their solutions will give you a deeper understanding of a variety of programming challenges, many of which are relevant to...
Б.м.: Leanpub, 2021. — 374 p. Learn how to leverage the power of machine learning and deep learning to analyze behavioral patterns from sensors data and electronic records. This book shows you how to explore, preprocess, encode, and visualize your data This is the first version (Leanpub) of the book. The most recent version is available for free in HTML at...
CRC Press, 2020. — 365 p. — ISBN: 978-0-367-43914-9. Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called “seeing then doing” as it first gives step-by-step...
Пер с англ. Е. Матвеев. — СПб.: Питер, 2019. — 416 с.: ил. — (Библиотека программиста). — ISBN: 978-5-4461-1101-5. R является самым популярным в мире языком статистических вычислений: археологи используют его, изучая древние цивилизации, фармацевтические компании выясняют, какие лекарства наиболее безопасны и эффективны, а финансисты задействуют его для оценки рисков и...
Apress, 2019. — 246 p. — ISBN: 978-1484248935, 1484248937. In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications:...
Leanpub, 2017. — 525 p. — ISBN: N\A. Learn the R language as a child would: Do not struggle, just play! If going gets difficult and frustrating, take a break! If you get a new insight, take abreak to enjoy the victory! This book covers different aspects of the use of the R language plus the languages behind some R packages, including the “grammar of graphics” implemented in...
Монография. — Тольятти: Кассандра, 2013. — 314 с. (Исправленная и дополненная интернет-версия от 03.08.2013 г.) В книге представлено описание широкой панорамы статистических методов, как повсеместно используемых, так и не нашедших пока должного применения в обработке данных экологического мониторинга. Сюда вошли элементарная статистика, проверка гипотез, различные подходы к...
М.: ДМК Пресс, 2016. — 452 c. — ISBN: 9785970602935. Книга представляет собой доступно изложенное введение в статистическое обучение - незаменимый набор инструментов, позволяющих извлечь полезную информацию из больших и сложных наборов данных, которые начали возникать в последние 20 лет в таких областях, как биология, экономика, маркетинг, физика и др. В этой книге описаны одни...
O’Reilly Media, 2011. — 436 p. — ISBN: 978-0-596-80915-7. With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. 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...
Wiley, 2018. — 240 p. — ISBN: 1119302609. Introduces the fundamentals of probability, statistics, decision theory, and game theory, and features interesting examples of games of chance and strategy to motivate and illustrate abstract mathematical concepts. Covering both random and strategic games, Probability, Decisions and Games features a variety of gaming and gambling...
New York: Packt Publishing, 2015. — 265 p. Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data. About This Book Unlock and discover how to tackle clusters of raw data through practical examples in R. Explore your data and create your own models from scratch. Analyze the main aspects of unsupervised learning with...
O’Reilly, 2014. — 212 p. — ISBN: 978-1-491-94785-2. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started—whether you’re on Windows, OS X, or...
CRC, 2017. — 342 p. — ISBN: 978-1138088634. — (Chapman & Hall/CRC The R Series). Building on over thirty years’ experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable...
New York: Springer, 2017. — 282 p. This book describes how to use test equating methods in practice. The non-commercial software R is used throughout the book to illustrate how to perform different equating methods when scores data are collected under different data collection designs, such as equivalent groups design, single group design, counterbalanced design and non equivalent...
Электронная книга. — Хайдельберг – Лондон – Тольятти, 2014. — 401 с.
Пособие "Статистический анализ и визуализация данных с помощью R" адресовано преимущественно студентам, аспирантам, молодым и состоявшимся учёным, а также профессиональным аналитикам, прежде не имевшим опыта работы с R. Акцент делается, в первую очередь, на практическое применение – на то, чтобы читатель,...
Hoboken: Wiley, 2014. - 439p.
Features a solid foundation of mathematical and computational tools to formulate and solve real-world ODE problems across various fields With a step-by-step approach to solving ordinary differential equations (ODEs), Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R successfully...
Springer, 2008. — 260 p. — ISBN: 0387759603, 9780387759609
Wavelet methods have recently undergone a rapid period of development with important implications for a number of disciplines including statistics. This book has three main objectives: (i) providing an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference to many developments...
N.-Y.: Leanpub, 2015. - 132p. This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. History and Overview of R What is R? What is S? The S Philosophy Back to R...
Wiley, 2015. — 472 p. — (Wiley Series in Probability and Statistics). — ISBN: 9781118730034. A valuable overview of the most important ideas and results in statistical modeling. Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book...
Wadsworth & Brooks/Cole Publishing Company, 1983. — 407 p. — ISBN: 0871504138, 053498052X.
This book is an excellent introductory book to graphical data analysis. If you are an advanced reader, this book is a good one to have lying around for reference (especially since it costs so little and does not take up much space). The book relies heavily on the use of S-PLUS , a...
N.-Y.: Springer, 2014. - 349p. This book introduces Astrostatistics as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter’s coverage of preliminary concepts and terminologies for astronomical...
N.-Y.: Wiley, 2012. - 416p.
A complete set of statistical tools for beginning financial analysts from a leading authority
Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers...
Springer, 2001. – 224 p. – ISBN: 1852334592, 9781852334598 Directly oriented towards real practical application, this book develops both the basic theoretical framework of extreme value models and the statistical inferential techniques for using these models in practice. Intended for statisticians and non-statisticians alike, the theoretical treatment is elementary, with...
Chapman and Hall/CRC – 2001, 256 pages ISBN: 1584882808, 978-1584882800 Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures, and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to...
Wiley – 2005, 565 pages ISBN: 9780471745839 An easy-to-grasp introduction to nonparametric regression This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains the basic concepts underlying nonparametric regression and features: Thorough...
Publisher: Chapman and Hall/C.R.C. |1991 | ISBN: 0412053012, 0412052911 | 608 pages | Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics...
Sage Publications, Inc | 2002 | ISBN: 0761922792 | 328 pages | "The text does an outstanding job of providing the necessary mechanics and theory of the S language. I will use this book in every such course that I teach from this point on." -JEFF GILL, University of Florida, Gainesville "The book provides a valuable supplement to texts on regression analysis and linear models by...
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