CreateSpace Independent Publishing, 2016. — 154 p. — ISBN: 1533685010. Learn R Programming Today With This Simple Step-By-Step, Ultimate Beginners Guide 2017! Updated & Improved: June 2017 Do you want to learn R Programming? Do you want a guide that is easy to follow, detailed and written to make the process as effortless as possible? If so, “R: Easy R Programming For...
Guzzler Media LLC, 2019. — 118 p. — ISBN: 978-1696769648. R is a programming language and software environment for statistical analysis, graphics representation, and reporting. If you are trying to understand the R programming language as a beginner, this short book will give you enough understanding of almost all the concepts of the R language. The author will guide you...
John Wiley & Sons, Inc., 2014. — 308 p. — ISBN: 978-1-118-42254-0. 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...
2nd. edition. — SAGE Publications, Ins., 2011. — 472 p. — ISBN13: 978-141297514-8. This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox′s bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to...
2nd.ed. — Packt, 2017. — 523 p. — ISBN: 978-1787124479. Key Features Analyze your data using the popular R packages with ready-to-use and customizable recipes Find meaningful insights from your data and generate dynamic reports A practical guide to help you put your data analysis skills in R to practical use Book Description This book will show you how you can put your data...
Palgrave Macmillan, 2015. — 206 p. — ISBN: 978-1-137-43747-1 (eBook). Quantitative Trading with R offers readers a winning strategy for devising expertly-crafted and workable trading models using the R open-source programming language. Based on the author's own experience as a professor and high-frequency trader, this book provides a step-by-step approach to understanding...
Addison-Wesley Professional, 2017.- 560 p. - ISBN: 978-0134546926 2nd Edition Using the open-source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the...
Packt Publishing, 2014. — 190 p. — ISBN13: 978-1783554553. R has undergone an explosion of popularity around the world. The wide range of graphs and options for creating high-impact visualizations makes R a highly effective tool for researchers, data analysts, students, and others. This book starts with the basics of R and the principles of creating graphics, focusing on...
O’Reilly Media, Inc., 2020. — 283 p. — ISBN: 978-1-492-04637-0. If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn...
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:...
Amazon Digital Service, 2017. — 562 p. — ASIN B071DTSCPS. +Code Files. This book introduces the reader to the use of R and RStudio as a platform for processing and analyzing financial data. The book covers all necessary knowledge for using R, from its installation in your computer to the organization and development of scripts. For every chapter, the book presents practical and...
GeoSpatial, 2018. — 246 p. — ASIN B07HM7LC41. Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. R has become the preferred software for data science, thanks to its open-source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm. This...
Valentina Porcu, 2017. — 279 p. This book is meant to be an introduction to advanced data manipulation in R. The first chapter will deal with R structures, vectors, matrixes, lists, and dataframes. We will explain how to design objects in R and how to use R main functions, such as rearranging a vector or adding columnsto a matrix. The second chapter will cover several topics....
Amazon Digital Services LLC, 2017. — 282 p. — ASIN B0737Z264F. When it comes to data analysis, data science and data mining, R is one of the most important and used programming languages. This book is meant as an introduction to R and is thought to be a quick reference guide for those who want to start programming in this language. The topics we will deal with are: - R...
John Wiley & Sons, Inc., 2017. — 466 p. Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses —...
SAGE, 2015. — 408 p. — ISBN: 978-1483377964. Using R with Multivariate Statistics by Randall E. Schumacker is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and...
Chapman and Hall, 2017. — 206 p. — ISBN: 978-1498797320. "This would be an excellent book for undergraduate, graduate and beyond...The style of writing is easy to read and the author does a good job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a powerful platform for analysis of data... having...
O’Reilly Media, 2017. — 194 p. — ISBN: 978-1491981658. Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy...
Packt Publishing, 2017. — 178 p. — ISBN: 978-1-78646-011-0. Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper,...
Packt Publishing, 2016. — 398 p. — ISBN: 978-1-78588-116-9. Harness actionable insights from your data with computational statistics and simulations using R Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be...
Apress, 2019. — 365 p. — ISBN-13 (electronic): 978-1-4842-4405-0. This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the...
O’Reilly, 2017. — 586. — ISBN: 9781491910399 What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you’ll learn how to use the versatile R programming language for data analysis. Whenever you measure the same thing twice, you get two results — as long as you...
2nd Edition. — CRC Press, Taylor & Francis Group, 2016. — 634 p. — ISBN: 1498734227. Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series...
CRC Press, 2016. — 434 p. — ISBN: 9781498736879. Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into four sections: The first section...
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