3rd Еdition. — Chapman and Hall/CRC, 2025. — 388 р. — ISBN-13: 978-1-003-44997-3. A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with...
John Wiley & Sons, Inc., 2021. — 356 p. — ISBN: 978-93-90421-47-3. With widespread and exponential growth of data, people with data science background are in great demand. Data analytics, a subdomain of data science, is meant to turn data into insight and actionable knowledge. Data analytics mainly deals with exploring, visualizing, transforming and modelling data for making...
Independently published, 2024. — 138 р. — (Computer Programming). — ASIN: B0DF3VL19J. Unlock Your Data Science Potential with R Programming! Dive into “R Programming: Mastering Data Science and Statistical Computing” , the ultimate guide to one of the most powerful tools in the world of Data Science. Whether you're a complete beginner or an experienced professional looking to...
2nd Edition. — Springer, 2024. — 245 p. — ISBN-13: 978-981-97-4022-2. This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography. The basic content covers descriptive statistical analysis and correlation analysis of geographical data, while the professional content delves into more advanced topics like linear...
Ginnoha Publishing, Miyazaki Yousuke, Fujisaki Ryousuke, Kashiwagi Kaito. — Independent publication, 2024. — 233 р. — ASIN: B0D9D9LLP1. This comprehensive guide offers 100 practical techniques for writing clean, readable, and maintainable R code. Learn how to leverage the power of the tidyverse ecosystem and master the art of data manipulation using the pipe operator %%....
No Starch Press, 2024. — 306 р. — ISBN-13: 978-1-7185-0333-5. The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you. Inside you’ll find a crash...
John Wiley & Sons, Inc, For Dummies, 2024. — 214 p. — ISBN 9781394263448. The easy way to get started coding and analyzing data in the R programming language. Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R?the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the...
CRC Press / Chapman & Hall, 2024. — 298 p. — (Data Science Series). — ISBN: 978-1-032-63351-0. Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods, modeling approaches, and...
Manning Publications, 2024. — 672 p. — ISBN-13: 978-1633438682. Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. In Statistics Slam Dunk you’ll develop a toolbox of R data skills including: Reading...
O’Reilly Media, Inc., 2024. — 122 p. — ISBN 978-1-098-15124-9. Tidying up messy software is a must. And that means breaking up the code to make it more readable, and using guard clauses and helping functions to make it understandable. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might...
2nd Edition. — Springer, 2023. — 172 p. — ISBN 978-3-031-35044-3. This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy Analysis by using R. Applications and exercises are chosen from the Practical Guide to Trade Policy Analysis and...
No Starch Press, 2023. — 264 p. — ISBN-13 978-1-7185-0309-0. Whether you’re a mathematician, seasoned data scientist, or marketing professional, you’ll find The Shape of Data to be the perfect introduction to the critical interplay between the geometry of data structures and Machine Learning. This book’s extensive collection of case studies (drawn from medicine, education,...
2nd Edition. — O’Reilly Media, Inc., 2023. — 381 р. — ISBN-13: 978-1-098-13494-5. Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that...
2nd Edition. — O’Reilly Media, Inc., 2023. — 600 p. — ISBN-13: 978-1-492-09740-2. Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse—a collection of R packages designed to work together to make data science fast,...
SAGE Publications Ltd, 2021. — 272 p. — ISBN 978-1-5264-5996-1. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and is packed with a range of supportive learning features such as code examples, overview boxes, images,...
O’Reilly Media, Inc., 2016. — 335 p. — ISBN 13: 978-1-491-92261-3. It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll...
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...
2nd Edition. — Apress Media, LLC, 2022. — 527 p. — ISBN 978-1-4842-8155-0. Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software...
3rd Edition. — Manning Publications Co., 2022. — 656 p. — ISBN: 978-1617296055. R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments. In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean,...
Apress Media LLC, 2022. — 602 p. — ISBN-13 (electronic): 978-1-4842-7924-3. This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the...
2nd Edition. — Apress Media LLC, 2022. — 278 p. — ISBN-13: 978-1-4842-7201-5. Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and...
Apress Media, LLC., 2020. — 481 p. — e-ISBN 978-1-4842-6053-1. Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data...
2nd.ed. - Springer, 2021. - 476p. - ISBN: 3030641546 This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely...
O’Reilly Media, Inc., 2021. — 378 p. — ISBN 978-1-492-04738-4. Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of...
Apress, 2021. — 416 p. — ISBN 9781484268308. Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take...
Amazon.com Services LLC, 2021. — 65 p. This Research description has been designed specifically for all categories of researchers which impressively explores the basic data analysis and graphics using R. This edition will satisfy the intensifying need for all social science research and researchers. It acts as an aid to the researcher to know When, Where, How to use the...
Addison-Wesley Professional, 2019. — 385 p. — (Addison-Wesley Data & Analytics Series) — ISBN 0135133106, 9780135133101. The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.” –From the foreword by Jared Lander, series editor Using...
CRC Press, 2020. — 365 p. — ISBN: 978-1-003-00669-5 (ebk). 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...
John Wiley & Sons, Inc., 2021. — 928 p. — ISBN: 978-1-119-63277-1 (EPUB). Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It...
CRC Press, 2021. - 390p. - ISBN: 9780367563837 R Markdown is a powerful tool for combining analysis and reporting into the single document in the spirit of literate programming and reproducible research. Since the birth of the rmarkdown package in early 2014, R Markdown has grown substantially from a package that supports a few output formats (such as HTML, PDF, and Word) to an...
2nd Edition. — O’Reilly Media, 2019. — 600 p. — ISBN: 978-1-492-04068-2. Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately....
Springer, 2020. — 107 p. — (Use R!) — ISBN: 978-3-030-56485-8 (eBook). This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can...
Packt, 2019. — 438 p. — ISBN: 1788629159. Hands-On Time Series Analysis with R: Perform time series analysis and forecasting using R Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series analysis and forecasting using R packages such as Forecast and h2o Develop models and find patterns to create...
2nd Edition. — Apress, 2020. — 439 p. — ISBN13: (electronic): 978-1-4842-5973-3. Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color...
Apress, 2020. — 332 p. — ISBN13: (electronic): 978-1-4842-5946-7. Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R 4...
CRC Press, 2020. — 448 p. — ISBN: 13: 978-1-138-33145-7. The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web...
Packt Publishing, 2020. — 317 p. — ISBN: 978-1-78899-683-9. Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning...
John Wiley & Sons Inc., 2020. — 2080 p. — ISBN: 978-1-118-38798-6. Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are...
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...
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 through...
Packt Publishing, 2019. — 518 p. — ISBN: 978-1-78995-069-4. Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Handling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R...
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...
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...
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:...
2nd edition. — Addison-Wesley Professional, 2017. — 560 p. — ISBN: 978-0134546926 Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals 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...
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...
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...
New York, USA: Apress Media LLC, 2018. — 180 p. — ISBN: 1484235878 Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you’ll learn to specify...
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...
Syncfusion Inc., 2017. — 108 p. The R programming language on its own is a powerful tool that can perform thousands of statistical tasks, but by writing programs in R, you gain tremendous power and flexibility to extend its base functionality. Senior Succinctly series author and editor James McCaffrey shows you how in R Programming Succinctly. Getting Started Vectors and...
Apress, 2017. — 104 p. — ISBN13: 978-1484227459. Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks. In Functional Programming in R, you’ll see...
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 measure...
Packt Publishing, 2017. — 288 p. — ISBN: 978-1783551811 The book is the process of extracting useful and high-quality information from text by devising patterns and trends. R provides an extensive ecosystem to mine text through its many frameworks and packages. Starting with basic information about the statistics concepts used in text mining, this book will teach you how to...
2nd Edition. — Manning Publications, 2015. — 608 p. — ISBN: 978-1617291388. Bonus chapter 23 and source code from this book placed here. 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...
Packt Publishing, 2014. — 285 p. — ISBN: 1783986689, 9781783986682
R is best suited to produce data and visual analytics through customizable scripts and commands, instead of typical statistical tools that provide tick boxes and drop-down menus for users. The book is divided into three parts to help you perform these steps. It starts by providing you with an overview of the...
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