Barker T. Pro Data Visualization using R and JavaScript Apress, 2013. — 206 p. — ISBN: 1430258063, 9781430258063 Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis. You'll see how to use R to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data...
Код и наборы данных (datasets) к книге: Berlinger E., Illés F., Vadász T. et al., Mastering R for Quantitative Finance В архив включены: Исходный код на R к примерам для глав 1-13. Данные к примерам для глав 2, 6, 7, 11, 12, 13
Wiley, 2014. — 320 p. — ISBN: 9781118422540
Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the book presents a coherent...
2nd ed. — Wiley, 2015. — 432 p. —ISBN: 1119055806, 9781119055839 (EPUB) Mastering R has never been easier. Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you′ll ever need. Requiring no prior programming experience and packed with tons of practical examples,...
SAGE Publications Ltd, 2012. — 992 p. — ISBN: 1446200450, 9781446200452
The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical...
Packt Publishing, 2016. — 1783 p. Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining...
Cambridge University Press, 2009. — 585 p. — ISBN 9780521760119. Statistical techniques can be used to address new situations. This is important in a rapidly evolving risk management and financial world. Analysts with a strong statistical background understand that a large data set can represent a treasure trove of information to be mined and can yield a strong competitive...
Wrox, 2012. – 618 p. – ISBN: 111816430X, 9781118164303 Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly...
Wiley, 2014. — 396 p. — ISBN: 0470384425, 9780470384428 A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions when given a set of data. Focusing...
Код и учебные материалы к книге: Kumar A., Paul A., Mastering Text Mining with R. В архив включены: Код для примеров на R к главам 4, 6, 7. Данные к примерам и тестовые материалы для глав 2, 5, 6.
Packt Publishing, 2015. — 176 p. — ISBN: 1783989262 Overcome performance difficulties in R with a range of exciting techniques and solutions About This Book Benchmark and profile R programs to solve performance bottlenecks Combine the ease of use and flexibility of R with the power of big data tools Filled with practical techniques and useful code examples to process large data...
Meys J., de Vries A. R for Dummies
Wiley – 2012, 406 pages
ISBN: 1119962846, 9781119962847
Still trying to wrap your head around R?
With more than two million users, R is the open-source programming language standard for data analysis and statistical modeling. R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming...
Springer, 2013. – 295 p. – ISBN: 1461462266, 9781461462279 This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials. The book contains R...
Packt Publishing, 2018. — 376 p. — ISBN: 978-1788624145. !Only code files Key Features Implement machine learning algorithms to build ensemble-efficient models Explore powerful R packages to create predictive models using ensemble methods Learn to build ensemble models on large datasets using a practical approach Book Description Ensemble techniques are used for combining two...
Wiley, 2011. — 384 p. — ISBN: 0470944889, 9780470944882. Practical data design tips from a data visualization expert of the modern age. Data doesn?t decrease it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential...
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,...
Печатный вариант электронного ресурса, 2002. — 15 с. Эта статья не претендует на обучение основам статистики. Автор рассчитывает на читателя, более или менее знакомого с основными понятиями теории вероятностей и математической статистики. Такой читатель может научиться делать то, о чем он читал в руководствах, при помощи R. Для чего надо обрабатывать данные? Каким образом можно...
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