Apress, 2025. — 222 p. — ISBN: 9798868805790. This book is not a comprehensive guide; if that's what you're seeking, you may want to look elsewhere. Instead, it serves as a map, outlining the necessary tools and topics for your research journey. The goal is to build your intuition and provide pointers for where to find more detailed information. The chapters are deliberately...
San Francisco: No Starch Press, 2024. — 251 p. — ISBN: 1718503326. Learn how to use R for everything from workload automation and creating online reports, to interpreting data, map making, and more. 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...
SAGE Publications, 2020. — 537 p. — ISBN: 9781544324579. Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it was first published in 2000. Now the best-selling SPSS and Excel versions are joined by a text for use with the R software, Statistics for People Who...
John Wiley & Sons, Inc., 2021. — 356 p. — ISBN: 978-93-90421-47-3. With the widespread and exponential growth of data, people with data science backgrounds 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 modeling data for...
3rd ed. — John Wiley & Sons, 2022. — 576 p. — ISBN: 1119874033. This thoroughly updated third edition combines the latest software applications with the benefits of modern resampling techniques. Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The third edition of Mathematical...
3rd Edition. — Wiley, 2022. — 576 p. — eBook ISBN: 978-1-119-87404-1. This thoroughly updated third edition combines the latest software applications with the benefits of modern resampling techniques. Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The third edition of...
2nd Edition. — SAGE Publications Ltd, 2023. — 448 p. — ISBN: 978-1529753530. Statistics is made simple with this award-winning guide to using R and applied statistical methods. With a clear step-by-step approach explained using real-world examples, learn the practical skills you need to use statistical methods in your research from an expert with over 30 years of teaching...
2nd Edition. — CRC Press, 2024. — 466 p. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN: 978-1-032-75197-9. Praise for the first edition: “This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.”. The American Statistician. This thoroughly updated and expanded second...
2nd Edition. — Chapman & Hall, 2024.. — 706 p. — eBook ISBN: 9781003093091. Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio...
Birmingham: Packt Publishing, 2024. - 375 p. - ISBN: 1837639027. Master the fundamentals of advanced techniques of causal inference through a practical, hands-on approach with extensive R code examples and real-world applications. Key Features Explore causal analysis with hands-on R tutorials and real-world examples. Grasp complex statistical methods by taking a detailed,...
James Gareth, Witten Daniela, Hastie Trevor, Tibshirani Robert. Springer Science+Business Media New York, 2013. - 436 p. This is a comprehensive textbook on statistical learning. The book provides an accessible introduction to the field, covering key topics and techniques in statistical learning, with a focus on applications in R. The book focuses on statistical learning, a...
2nd Edition. — Routledge, 2025. — 321 p. — (Quantitative Methodology Series). — ISBN: 978-1-032-61940-8. This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable (“latent”) variables. Although the focus is on simple R code, the book provides updated guidance...
Singapore: World Scientific Publishing Company, 2024. - 302 p. - ISBN: 9811297479. Cluster analysis is a fundamental data analysis task that aims to group similar data points, revealing the inherent structure and patterns within complex datasets. This book serves as a comprehensive and accessible guide, taking readers on a captivating journey through the foundational principles...
Independently published, 2024. — 283 p. Welcome to "R Programming for Data Science", a comprehensive guide that will take you on a journey from the basics of R programming to advanced techniques for working with data in the context of Data Science. As someone interested in Data Science, you're likely aware of the importance of having a strong foundation in programming and data...
Norwich (U.K.): Vor Press, 2023. — 248 p. — (Statistics without Mathematics). — ISBN: 978-1915500044. Statistics is a seemingly very mysterious yet necessary subject at the graduate level. Many graduate students are required to use statistics to carry out their research, be their study in science, medicine, engineering, business, or social sciences. Most universities provide...
Norwich (U.K.): Vor Press, 2023. - 248 p. - ISBN: 1915500044. Statistics is a seemingly very mysterious yet necessary subject at the graduate-level. Many graduate students are required to use statistics to carry out their research, be their study in science, medicine, engineering, business, or social sciences. Most universities provide basic courses in statistics for students...
2nd Edition. — CRC Press, 2025. — 688 p. — ISBN: 9780367553234. Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and...
Independently published, 2024. — 138 p. — (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...
Routledge, 2025. — 377 p. This book provides a conceptual introduction to regression analysis and Machine Learning and their applications in education research. It discusses their diverse applications, including their role in predicting future events based on the current data or explaining why some phenomena occur. These identified important predictors provide data-based...
Singapore: World Scientific Publishing Company, 2024. - 463 p. - ISBN: 9811293775. The fields of mathematical statistics, statistical graphics, computer science, and operations research have created the rich set of methods now called Analytics. Often analytics is characterized along three poles: descriptive analytics (what do data tell us), predictive analytics (what can be...
CRC Press, 2024. — 171 p. This book discusses and compares four approaches to analyzing panel data in Qualitative Comparative Analysis (QCA). It starts by introducing QCA as a research approach, then discusses the most important assumptions, and s like set-calibration and theory-testing, and finally demonstrates each of the four panel data approaches, in separate chapters. Each...
Ginnoha Publishing, Miyazaki Yousuke, Fujisaki Ryousuke, Kashiwagi Kaito. — Independent publication, 2024. — 233 p. — 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 %%....
Kavi & Shila Book Publication House, 2024. — 226 p. Whether you're a student, researcher, or just someone curious about data, R programming can be your key to unlocking valuable insights. This book is designed to take you on a step-by-step journey from R novice to confident user. R is a programming language and software environment for statistical analysis, graphics...
Springer, 2024. — 324 p. — ISBN-13: 978-9819733842. This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE). R is an open-source...
John Wiley & Sons, 2024. - 193 p. - ISBN: 1394263422. 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 point, eliminating...
2nd Edition. — CRC Press, 2025. — 493 p. — ISBN: 978-1-032-51244-0. The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. R is not like other statistical software packages. It is free, versatile, fast, and...
Leanpub, 2024. — 187 p. For every exercise, I did my best to connect the specific statistical concepts with R code, and every time I use linear algebra I connect it with a concrete R example. In this book, you will not find something such as "this is left as an exercise to the reader". This book aims to get straight to the point, and the only thing I assume here is that you...
CRC Press, 2024. — 452 p. — (The R Series). The integration of geology with Data Science disciplines, such as spatial statistics, remote sensing, and geographic information systems (GIS), has given rise to a shift in many schools, pushing the boundaries of knowledge and enabling discoveries in geological processes and earth systems. Spatial analysis of geological data can be...
Self-published, 2024 — 45 p. — ASIN B0CQK5XFCV. "50 R Exercises" is a practical manual created for people who want to improve their knowledge of R programming data analysis and visualization. Whether you're a beginner looking for a firm foundation or an experienced user looking to expand your knowledge, this book provides a carefully chosen set of 50 tasks that gradually guide...
CRC Press, 2025. — 298 p. — ISBN: 978-1-032-74149-9. Financial Data Analysis with R: Monte-Carlo Validation is a comprehensive exploration of statistical methodologies and their applications in finance. Readers are taken on a journey in each chapter through practical explanations and examples, enabling them to develop a solid foundation of these methods in R and their...
CRC Press, 2024. — 236 p. — ISBN: 9781032189758. The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within a systematic approach that follows a typical data science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science...
SAGE Publications, 2023. — 256 p. — ISBN: 978-1-0718-4612-4. This book provides students with a step-by-step guide for running their multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly, annotated R syntax illustrates how...
Wiley, 2018. — 320 p. — ISBN: 978-1118897157 (hardcover). A comprehensive guide to automated statistical data cleaning. The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric, or categorical data. This...
O’Reilly Media, Inc., 2024. — 98 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, 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 apply...
O’Reilly Media, Inc., 2021. — 372 p. — ISBN: 978-1492047384. 2021-04-29: First Release. 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 analysis. Users will be able to jump between datasets, explore different subsets or facets of the data, run...
CRC Press, 2024. — 396 p. — ISBN: 978-1-032-27716-5. Exploring Operations Research with R shows how the R programming language can be a valuable tool – and way of thinking – that can be successfully applied to the field of operations research (OR). This approach is centered on the idea of the future OR professional as someone who can combine knowledge of key OR techniques...
No Starch Press, 2024. — 306 p. — 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...
2nd. ed. - Boca Raton: CRC Press, 2024. - 465 p. - (Chapman & Hall/CRC The R Series). - ISBN: 1032516992. Learning a computer language like R can be either frustrating, fun, or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward for overcoming them. The book is designed so that it includes smaller and bigger...
2nd Edition. — Springer Cham, 2024. — 555 p. — eBook ISBN: 978-3-031-37865-2. Covers the most fundamental topics in probability and statistics, both theoretical and applied. Includes a dedicated R package to learn, practice, and use the theory. A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific...
CRC Press / Chapman & Hall, 2024. — 272 p. — (The R Series). — ISBN: 978-1-0322-8949-6. Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It starts with basic graphs such as bar charts, scatter plots, and line charts, but progresses to less well-known visualizations such as tree...
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...
Leanpub, 2021. — 374 p. Learn how to leverage the power of machine learning and deep learning to analyze behavioral patterns from sensor 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. In terms of content, all versions are very similar. The newer HTML and print versions...
3rd. ed. - Boca Raton: CRC Press, 2024. - (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences). - ISBN: 1032363940. Like its best-selling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors...
3rd Edition. — Chapman and Hall/CRC, 2017. — 452 p. — ISBN-13: 978-1-4822-0459-9. Like the best-selling first two editions, A Handbook of Statistical Analyzes using R, the Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive...
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...
Sage, 2021. — 424 p. — ISBN: 1544370458. Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to...
John Wiley & Sons, Inc., 2024. — 632 p. — ISBN: 978-1119754978. Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with real-life examples. R Programming for Actuarial Science provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work. In R...
Manning Publications, 2024. — 672 p. 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 and writing data....
The Great Courses Corporate Headquarters, 2017. — 408 p. — (The Great Courses). — ISBN? “Show me the data!” This is the coin of the realm in science, medicine, business, education, journalism, and countless other fields. Of course, it’s more complicated than that, because raw data without interpretation is useless. What they mean is “Show me the statistics” — well-founded,...
Wiley, 2021. — 365 p. — ISBN: 978-1119689706. A unique text that simplifies experimental business design and is dedicated to the R language Business Experiments with R offers a guide and explores the fundamentals of experimental business designs. The book fills a gap in the literature with its discussion of business statistics, addressing issues such as small samples, lack of...
SAGE Publications Ltd, 2021. — 640 p. — ISBN: 978-1-5264-8676-9. his approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modeling with Stan, builds...
Independently published, Gagolewski Marek, 2023. — 457 p. — ISBN: 978-0-6455719-2-9 (v1.0.0.9002). Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for Data Science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that...
Chapman and Hall/CRC, 2024. — 326 p. — ISBN: 978-1-032-24697-0. Visualizing Surveys in R is about creating static, print-quality figures from survey data using R. The focus is not, for example, on statistical analysis of survey data, but rather on giving concrete solutions for typical problems in visualizing survey data. While there are many excellent books on data...
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...
Springer Cham, 2023. — 477 p. — eBook ISBN: 978-3-031-39129-3. A one-stop reference for all aspects of Data Analytics, from the deep explanation of the algorithms to their application. The theoretical-practical approach introduces concepts, then applies them through exercises that are solved using the software. Consolidates results of EU-funded EDISON project (Education for...
Springer Cham, 2023. — 477 p. — eBook ISBN: 978-3-031-39129-3. A one-stop reference for all aspects of Data Analytics, from the deep explanation of the algorithms to their application. The theoretical-practical approach introduces concepts, and then applies them through exercises that are solved using the software. Consolidates results of EU-funded EDISON project (Education for...
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, 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 apply...
2nd ed. — Birmingham: Packt Publishing, 2023. — 395 p. — ISBN: 1837634270. Discover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystem. Key Features Apply modern R packages to process biological data using real-world examples. Represent biological data with advanced visualizations and workflows suitable for research...
Biemingham: Packt Publishing, 2023. — 515 p. — ISBN: 180324030X. Learn the fundamentals of statistics and machine learning using R libraries for data processing, visualization, model training, and statistical inference. Key Features Advance your ML career with the help of detailed explanations, intuitive illustrations, and code examples. Gain practical insights into the...
San Francisco: No Starch Press, 2023. — 265 p. — ISBN: 1718503083. This advanced machine learning book highlights many algorithms from a geometric perspective and introduces tools in network science, metric geometry, and topological data analysis through practical application. Whether you’re a mathematician, seasoned data scientist, or marketing professional, you’ll find The...
O’Reilly Media, Inc., 2024. — 98 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, 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 apply...
2nd Edition. — Apress Media, LLC, 2022. — 527 p. — ISBN: 978-1-4842-8154-3. 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 to develop new software...
2nd. ed. — O’Reilly Media, 2023. — 379 p. — ISBN: 109813494X. 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 maintains the "tidyverse"...
2nd Edition. — O’Reilly Media, Inc., 2023. — 579 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,...
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...
Arcler Press, 2022. — 448 p. — ISBN: 978-1-77469-224-0. This book covers some introductory steps in using R programming language as a Data Science tool. The data science field has evolved so much recently with incredible quantities of generated data. To extract value from those data, one needs to be trained in the proper data science skills like statistical analysis, data...
Springer Singapore, 2023. — 292 p. — ISBN: 978-981-99-2885-9. Provides useful exercises and practice problems at the end of each chapter. Features with the numbering of each R code line in boxes with comments. Presents a useful list of R packages and functions, grouped in different sections. R Language: Introduction. Obtaining and Installing R Language. Using R as a Calculator....
Springer, 2023. — 299 p. — ISBN: 9819928850. This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation, and presentation. It covers fundamental data structures such as vectors, matrices, arrays, and lists, along with techniques for exploratory data analysis, data transformation, and manipulation. The book explains basic...
Cambridge University Press, 2021. — 696 p. Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to...
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,...
Leanpub, 2022. — 106 p. The journey from a statistical model to useful output has many steps, most of which are taught in other books and courses. The purpose of this book is to focus on one particular aspect of this journey: the development and implementation of statistical algorithms. It's often nice to think about statistical models and various inferential philosophies and...
Leanpub, 2020. — 210 p. This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be...
Leanpub, 2022. — 180 p. Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto...
2nd Edition. — Springer, 2023. — 172 p. — ISBN: 978-3-031-35043-6. 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...
Boca Raton: CRC Press, 2024. — 297 p. R is a statistical computing and graphics programming language that you can use to clean, analyze, and graph data. It is widely used by researchers from various disciplines to estimate and display results and by teachers of statistics and research methods. This book is a detailed guide for beginners to understand R with an explanation of...
Leanpub, 2021. — 780 p. Develop insights from data with tidy tools. Import, wrangle, visualize, and model data with the Tidyverse R packages. This book is intended for data scientists with some familiarity with the R programming language who are seeking to do Data Science using the Tidyverse family of packages. Through 5 chapters, you will cover importing, wrangling,...
2nd Edition. — O’Reilly Media, Inc., 2023. — 381 p. — 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,...
4th Edition. — Packt Publishing, 2023. — 763 p. — ISBN: 9781801071321. Learn how to solve real-world data problems using machine learning and R. Key Features. The 10th Anniversary Edition of the best-selling R machine learning book, updated with 50% new content for R 4.0.0 and beyond. Harness the power of R to build flexible, effective, and transparent machine learning models....
CRC Press, 2023. — 188 p. — ISBN: 978-1003380412. This Lab Manual is a companion to the textbook Remote Sensing and Digital Image Processing with R. It covers examples of natural resource data analysis applications including numerous, practical problem-solving exercises, and case studies that use the free and open-source platform R. The intuitive, structural workflow helps...
CRC Press, 2024. — 492 p. — eBook ISBN: 978-1-003-32084-5. This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows without needing to reference extensive...
Pelagic Publishing, 2023. — 384 p. — ISBN: 978-1-78427-337-8. The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organize, analyze and visualize data. This clear and...
Springer, 2023. — 352 p. — Indian Statistical Institute Series. — ISBN: 978-981-19-2007-3. This book prepares students to execute the quantitative and computational needs of the finance industry. The quantitative methods are explained in detail with examples from real financial problems like option pricing, risk management, portfolio selection, etc. Codes are provided in R...
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,...
CRC Press, 2023. — 348 p. — ISBN: 978-0-367-51538-6. This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers the main topics of psychometrics such as validity, reliability, item analysis, item response theory models, and computerized adaptive testing. The...
Springer, 2023. — 197 p. Includes data analytic examples in R. This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of the four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and logistic. The...
De Gruyter, 2023. — 398 p. — ISBN: 978-3-11-070497-6. Many students learn to analyze data using commercial packages, even though there is open-source software with cutting-edge possibilities: R, a programming language with countless cool features for applied empirical research. Practice R introduces R to social science students, inspiring them to consider R as an excellent...
SAGE Publications, 2021. — 529 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, tables,...
Elsevier, 2023. — 274 p. — eBook ISBN: 9780128126974. In today’s competitive environment, airlines are doing everything they can to improve efficiency and productivity. Productivity and Efficiency Measurement of Airlines: Data Envelopment Analysis using R identifies and explains sources of airline efficiency and helps achieve these goals through the use of state-of-the-art...
NIPA, 2020. — 124 p. This book will help its readers to learn the first step of R statistics as it will help its readers to sit before the computer and to enter the commands, Practice makes perfect and the best way to learn R is to work with it and ask questions when you don’t get the results. My aim in writing this short book is to enable an average student like me to graph...
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...
2nd. ed. - Independently published, 2020. - 378 p. - ISBN: 9798648424364. Introduces the popular, powerful, and free programming language and software package R. Focus: implementation of standard tools and methods used in econometrics. Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology, and notation. Topics: A...
Birmingham: Packt Publishing, 2023. — 384 p. — ISBN: 1803235403. Take your data wrangling skills to the next level by gaining a deep understanding of tidyverse libraries and effectively prepare your data for impressive analysis Key Features Explore state-of-the-art libraries for data wrangling in R and learn to prepare your data for analysis. Find out how to work with different...
Routledge, 2022. — 261 p. A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modeling techniques developed from this perspective. Written by pioneers in the field,...
John Wiley & Sons, 2023. — 690 p. — (For Dummies). A deep dive into the programming language of choice for statistics and data. With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we’re all swimming in. Maybe you’re pursuing a career in data...
2nd Edition. — Routledge, 2023. — 378 p. — ISBN: 978-1-032-24402-0. The new edition of this innovative book, R Data Analysis without Programming, prepares the readers to quickly analyze data and interpret statistical results using R. Professor Gerbing has developed lessR, a ground-breaking method in alleviating the challenges of R programming. The lessR extends R, removing the...
Apress, 2019. — 246 p. — eBook ISBN: 978-1-4842-4894-2. 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:...
CRC Press, 2023. — 432 p. — (Chapman & Hall/CRC The R Series). — eBook ISBN: 978-1-032-24551-5. A Criminologist's Guide to R: Crime by the Numbers introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. By the end of this book, a person without any prior programming experience can take raw crime data, be able to...
Springer Cham, 2022. — 376 p. — eBook ISBN: 978-3-031-07155-3. This book discusses the interplay between statistics, data science, machine learning, and artificial intelligence, with a focus on environmental science, the natural sciences, and technology. It covers the state-of-the-art from both a theoretical and a practical viewpoint and describes how to successfully apply...
CRC Press, 2023. — 286 p. — ISBN: 9780429056468. Modern Applied Regressions creates an intricate and colorful mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences, this text provides...
Oxford: Oxford University Press, 2022. — 513 p. Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, Computer Science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision of computer code and data sets. This book presents the key concepts,...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN13: 978-1-492-09648-1. Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting 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...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN13: 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...
SAGE Publications Ltd, 2022. — 391 p. This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection, and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy-to-follow explanation of the theoretical and...
3rd Edition. — John Wiley & Sons Ltd, 2022. — 882 p. — ISBN: 978-1119634409. A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields. In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in...
3rd. ed. - John Wiley & Sons, 2022. - 882 p. - ISBN: 1119634326. A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields. In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R...
Springer, 2022. — 866 p. This book provides a practical introduction to mathematics for economics using R software. Using R as a basis, this book guides the reader through foundational topics in linear algebra, calculus, and optimization. The book is organized in order of increasing difficulty, beginning with a rudimentary introduction to R and progressing through exercises...
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, the researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some...
CRC Press, 2022. — 549 p. — (The R Series). Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, the researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some cases even unsuitable for...
O’Reilly Media, 2022. — 626 p. — ISBN: 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 approach...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN13: 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...
Guilford Press, 2022. — 196 p. — ISBN: 978-1462549894 (hardcover), 978-1462549887 (paperback). 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. The book demonstrates the...
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 in Action, Third Edition makes learning R quick and easy. That’s why thousands of data scientists have chosen this guide to help them master the powerful language. Far from being a dry academic tome, every example you’ll encounter in this book is relevant to scientific and business developers and...
CRC Press, 2022. — 400 p. — ISBN: 9781003089032. Tree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Building a strong foundation for how individual...
CRC Press, 2022. — 323 p. An Introduction to the Rasch Model with Examples in R offers a clear, comprehensive introduction to the Rasch model along with practical examples in the free, open-source software R. It is accessible for readers without a background in psychometrics or statistics, while also providing detailed explanations of the relevant mathematical and statistical...
CRC Press, 2022. — 299 p. This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The focus is on linear and mixed integer optimization. It uses an algebraic modeling approach for creating formulations that pair naturally with an algebraic implementation in R. With the rapid rise of interest in data...
Chapman and Hall/CRC Press, 2022. — 292 p. — ISBN: 978-1-003-03369-1. Introduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design, data collection, and...
Cambridge University Press, 2020. — 382 p. — ISBN: 978-1-108-61604-1. Biostatistics with R provides a straightforward introduction on how to analyze data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The...
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 a 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 strategies. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and yet gaining...
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 a 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...
Cambridge University Press, 2021. — 86 p. Solutions to Selected Exercises for Braun and Murdoch's A First Course in Statistical Programming with R, 3rd edition.
Wiley, 2022. — 416 p. — ISBN: 978-1-119-60098-5. Multiblock Data Fusion in Statistics and Machine Learning. Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide. Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse...
Apress Media LLC, 2022. — 602 p. — ISBN13: 978-1-4842-7923-6. 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 syntax...
2nd.ed. - Oxford Press, 2022. - 225 p. - ISBN: 0197582753 Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education. SSD for R serves as a guide for those desiring to conduct...
2nd.ed. - Oxford Press, 2022. - 225 p. - ISBN: 0197582753 Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education. SSD for R serves as a guide for those desiring to conduct...
Chapman and Hall/CRC, 2022. — 420 p. — (Chapman & Hall/CRC Interdisciplinary Statistics). — ISBN: 978-1-032-20957-9. Applied sciences, both physical and social, such as atmospheric, biological, climate, demographic, economic, ecological, environmental, oceanic, and political, routinely gather large volumes of spatial and Spatio-temporal data to make wide-ranging inferences and...
Springer, 2021. — 275 p. — (UseR!). — ISBN: 978-3-030-82567-6. This book provides a guided approach to the geostatistical modeling of compositional spatial data. These data are data in proportions, percentages, or concentrations distributed in space that exhibit spatial correlation. The book can be divided into four blocks. The first block sets the framework and provides some...
Packt Publishing, 2015. — 342 p. — ISBN: 1783989068, 9781783989065. Data analysis has recently emerged as a very important focus for a huge range of organizations and businesses. R makes detailed data analysis easier, making advanced data exploration and insight accessible to anyone interested in learning it. This book empowers you by showing you ways to use R to generate...
Packt Publishing, 2016. — 1919 p. — ASIN B01N7AE091. Proficiently analyze data and apply machine learning techniques Generate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in R Construct a predictive model by using a variety of machine learning packages Who This Book Is For This Learning Path is ideal for...
Packt Publishing, 2016. — 498 p. — ISBN10: 1786466457, ISBN13: 978-1786466457. Big Data analytics is the process of examining large and complex data sets that often exceed computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. The book will begin with a brief...
Packt Publishing, 2016. — 452 p. — ASIN B01ET5I38M. Key Features Gain insight into how data scientists collect, process, analyze, and visualize data using some of the most popular R packages. Understand how to apply useful data analysis techniques in R for real-world applications. An easy-to-follow guide to making the life of data scientist easier with the problems faced while...
Packt Publishing, 2016. — 1123 p. — ISBN: 9781787127340, ASIN: B01MQ4M4VO Build your confidence with R and find out how to solve a huge range of data-related problems Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today Don't just learn – apply your knowledge by following featured practical...
Packt Publishing, 2016. — 416 p. — ISBN: 1784390844, 9781784390846 Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning...
Cambridge University Press, 2021. — 312 p. — ISBN: 978-1-108-46075-0. Functional ecology is the branch of ecology that focuses on various functions that species play in the community or ecosystem in which they occur. This accessible guide offers the main concepts and tools in trait-based ecology, and their tricks, covering different trophic levels and organism types. It is...
CRC Press, 2022. — 332 p. — ISBN: 9781032128078. Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. There is a real need for good training in statistics, from data exploration to analysis and interpretation. This book provides an overview of statistical and dimension reduction methods for...
SAGE Publications, 2019. — 322 p. — ISBN: 978-1-5264-1150-1. "One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on ′real world′ examples which help students to understand why they are learning these methods." - Dr Roxanne Connelly, University of York Relevant, engaging, and packed...
CRC Press, 2022. — 399 p. — ISBN: 978-0-367-46602-2. Presented in full color, Engineering Production-Grade Shiny Apps helps people build production-grade shiny applications, by providing advice, tools, and a methodology to work on web applications with R. This book starts with an overview of the challenges which arise from any big web application project: organizing work,...
O’Reilly Media, Inc., 2020. — 296 p. — ISBN: 978-1-492-04637-0. If you’re like most R users, you have deep knowledge and a 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...
Routledge, 2020. — 302 p. — ISBN: 978-1-138-50078-5. This unique text provides a step-by-step beginner’s guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Each chapter is devoted to one popular Rasch model, ranging from the least to the most complex. Through a freely...
2nd edition. — CRC Press, 2022. — 341 p. — ISBN: 978-1-032-12320-2. With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and event history analysis using real-life examples. Since publication of the first edition, focus in the field has gradually shifted towards the analysis of large and complex...
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...
CRC Press, 2022. — 302 p. — ISBN: 978-1-032-00749-6. 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...
O’Reilly Media, Inc., 2021. — 372 p. — ISBN: 978-1492047384. 2021-04-29: First Release 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...
De Gruyter, 2020. — 431 p. — ISBN: 9783110564679. In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R programming language which has become the indispensable...
Springer, 2021. — 266 p. — ISBN: 978-3-030-73479-4. This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to...
2nd ed. — Springer, 2021. — 264 p. — ISBN: 9783030728182, 9783030728199 (eBook). Modern optimization, also known as metaheuristics, is related with generalpurpose solvers based on computational methods that use few domain knowledge from the addressed task, iteratively improving an initial solution (or population of solutions) to optimize a problem. Modern optimization is...
CRC Press, 2022. — 229 p. — ISBN: 978-0-367-50761-9. Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial...
Independently published, 2021. — 727 p. — ASIN B09B3WCZRM. 2021-07-15 If there is one thing R is famous and known about, is its graphics capabilities. There are many packages out there for producing plots in R, top amongst which is the base graphics package which comes with R preinstalled. The goal of this book is to explore the nooks and crannies of chart production with base...
Academic Press, 2021. — 275 p. — ISBN: 0128207884, 9780128207888. Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and...
CRC Press, 2022. — 501 p. — ISBN: 9780367619770. Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for...
Leanpub, 2021. — 138 p. Six years ago, I started a data science consulting company. Almost all my projects require some kind of data visualization. Because I'm a R programmer, ggplot2 became my primary charting tool. The thing about ggplot2 is that making a generic plot is easy, but customizing is hard. There're just too much details to remember. At first, I did a lot of code...
Springer, 2021. — 155 p. — ISBN: 978-3-030-72964-6. This book takes the reader through real-world examples for how to characterize and measure the productivity and performance of NFPs and education institutions — that is, organisations that produce value for society, which cannot be measured accurately in financial KPIs. It focuses on how best to frame non-profit performance...
FRU Kingsly, 2021. — 897 p. The goal of this book is to provide beginners and intermediate users of R, an opportunity to learn practically all there is to know about data wrangling, cleansing and exploration. Before data can be visualised or used in analysis and reporting, it needs to be in the right shape and be of the right type, this book helps you achieve all these without...
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...
Independently published, 2021. — 1206 p. — ASIN B08TW46GVF. Data wrangling is one of the most important steps in data science and analytics, for it is claimed that it takes between 80% to 90% of an analyst’s time. Data wrangling goes by many names including data munging, data manipulation, data preparation and data transformations. Just as there are many names to data...
2nd edition. — Columbia University Press, 2021. — 217 p. — ISBN: 9780231202138. R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen’s extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented...
2nd ed. — Springer, 2021. — 476 p. — ISBN: 9783030641542, 9783030641559 (eBook). This second edition is one of adaptation as well. I took into consideration comments I received from those who used my book to hopefully make the second edition more helpful. The biggest visual change is that charts are now in color. Chapters 1–7 and 9–10 are chapters that were also in the first...
2nd edition. — Springer, 2021. — 476 p. — ISBN: 978-3-030-64154-2. This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyze 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...
Academic Press, 2021. — 184 p. — ISBN: 978-0128244302. Pedigree Analysis in R gives an introduction to the theory of relatedness and covers a range of applications in forensic and medical genetics. The book's material was developed through teaching courses on genetic relatedness, pedigree analysis and R, and offers insights from a decade of research activities in forensic and...
Springer, 2021. — 341 p. — ISBN: 978-3-030-50624-7. This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages. This...
Pearson Studium, 2011. — 464 S. — ISBN: 978-3-86894-060-2. Dieses Buch entstand aus der Idee, auf moderne, problem- und praxisorientierte Weise Grundlagen der Statistik zu vermitteln. Das geht nicht, ohne dabei gleichzeitig die Umsetzung mittels geeigneter Software zu berücksichtigen. Eine natürliche Wahl dafür ist R, eine „Umgebung für Datenanalyse und Grafik“. R ist die...
Packt Publishing, 2019. — 254 p. — ISBN: 978-1-78980-437-9. Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your data analysis projects using powerful R packages and techniques Create multiple hands-on data analysis projects using real-world data Discover and practice graphical exploratory analysis...
Springer, 2008. — 515 p. — ISBN: 9780387759357. This is a book about Software for Data Analysis: using computer software to extract information from some source of data by organizing, visualizing, modeling, or performing any other relevant computation on the data. We all seem to be swimming in oceans of data in the modern world, and tasks ranging from scientific research to...
Independently published, 2021. — 806 p. — ASIN B094GRNFY2. This is a book by a DCF practitioner for DCF practitioners. It is like no other. Plus, it comes packed with thousands of lines of complimentary R code. DCF valuation is long overdue for much needed changes. This book clearly presents ‘why’ these changes are needed as well as the tools necessary to implement them....
Apress, 2021. — 348 p. — ISBN: 978-1484268759. Want to use the power of R sooner rather than later? Don’t have time to plow through wordy texts and online manuals? Use this book for quick, simple code to get your projects up and running. It includes code and examples applicable to many disciplines. Written in everyday language with a minimum of complexity, each chapter provides...
Chapman and Hall/CRC, 2021. — 461 p. — (Chapman & Hall/CRC The R Series). — ISBN: 978-0367818890. R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in...
Springer, 2021. — 239 p. — (Emerging Topics in Statistics and Biostatistics). — ISBN: 978-3-030-67582-0. This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial...
Academic Press, 2021. — 275 p. — ISBN: 0128207884, 9780128207888. Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and...
Apress, 2021. — 404 p. — ISBN: 978-1484268308. 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...
2nd edition. — SAGE Publications Ltd, 2019. — 337 p. — (Spatial Analytics and GIS). — ISBN: 978-1-5264-2850-9. This is a new edition of the accessible and student-friendly ′how to′ for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now...
Vasanthakumar, 2021. — 65 p. R in Hand, First Edition provides you with a guided introduction to R, supplying you with a 2,000-foot view of the platform and its capabilities it'll introduce you to the foremost important functions within the base installation and quite useful contributed packages. Throughout the book, the goal is practical application — how you'll add up of your...
2nd Edition. - CRC Press, Inc., 2021. — 457 p. — ISBN: 978-0367183837. Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead...
Independently published, 2021. — 392 p. — ISBN B08W4GGM72. This courseware is intended to be read as a self-study guide or as a book for R programming training. R is an open-source programming language for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing...
CABI, 2021. — 438 p. — ISBN: 9781789245356, 9781789245363, 9781789245349. R is a freely available, open-source statistical programming environment which provides powerful statistical analysis tools and graphics outputs. R is now used by a very wide range of people; biologists (the primary audience of this book), but also all other scientists and engineers, economists, market...
2nd Edition. — Addison-Wesley, 2017 — 560 p. — (Addison-Wesley Data & Analytics Series) — ISBN13: 978-0-13-454692-6 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...
CRC Press, 2020. — 363 p. — ISBN: 0367428326, 9780367428327. In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients,...
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...
Chapman and Hall/CRC, 2021. — 390 p. — (The R Series). — ISBN: 9780367205492. This book is aimed at conservation and development practitioners who need to learn and use R in a part-time professional context. It gives people with a non-technical background a set of skills to graph, map, and model in R. It also provides background on data integration in project management and...
CRC, 2021. - 394 p. - ISBN: 9780367205492 This book is aimed at conservation and development practitioners who need to learn and use R in a part-time professional context. It gives people with a non-technical background a set of skills to graph, map, and model in R. It also provides background on data integration in project management and covers fundamental statistical...
Berlin: Springer Spektrum, 2021. — 130 p. — ISBN: 3662625172. The objective of this text is to introduce RStudio to practitioners and students and enable them to use R in their everyday work. It is not a statistical textbook, the purpose is to transmit the joy of analyzing data with RStudio. Practitioners and students learn how RStudio can be installed and used, they learn to...
CRC Press, 2020. — 252 p. — ISBN: 9781138599635, EISBN 9780429470837. R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to...
O’Reilly Media, 2020. Master the Shiny web framework — and take your R skills to a whole new level. Shiny helps you create fully interactive web apps for data analyses by letting you move beyond static reports, tables, and graphs. Your users will be able to jump between datasets, explore different subsets, run models with parameter values of their choosing, customize...
2nd ed. — CRC Press, 2021. — 355 p. — ISBN: 9780367860851. In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning...
River Publishers, 2016. — 127 p. — ISBN: 8793379315, 9788793379312. EDM is a promising discipline which has an imperative impact on predicting students' academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific...
CRC Press, 2020. — 249 p. — ISBN: 9781138599635. R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate any of the basic...
Prospect Press, 2018. — 347 p. — ISBN: 1943153590, 9781943153596. This book covers both social network analysis and text analysis and mining. Presenting these methods together helps readers understand both the structure and content of social media conversations. The first part addresses the foundational concepts of social analytics and its potential for business. Next, readers...
CRC Press LLC, 2019. — 245 p. — ISBN: 9781420057492, 1420057499, 1584882808. This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the author and the...
AMS, 2010. — 842 p. — ISBN: 9781470428488. This book is suitable for what is often a two-semester sequence in “mathematical statistics”, but it is different in some important ways from many of the books written for such a course.
CRC Press, 2012. — 314 p. — (R series). — ISBN: 9781466503984, 146650398X. Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these...
Morgan & Claypool Publishers, 2019. - 236 p. - ISBN: 9781681735092 Introduction to Statistics Using R is organized into 13 major chapters. Each chapter is broken down into many digestible subsections in order to explore the objectives of the book. There are many real-life practical examples in this book and each of the examples is written in R codes to acquaint the readers with...
Packt Publishing, 2017. — 559 p. — ISBN: 9781785280511, 1785280511. Data in today’s world is the new black gold which is growing exponentially. This growth can be attributed to the growth of existing data, and new data in a structured and unstructured format from multiple sources such as social media, Internet, documents and the Internet of Things. The flow of data must be...
Routledge, 2020. — 304 p. — ISBN: 978-0367422240 (hardback), ISBN: 978-0367422257 (paperback), ISBN: 978-0367822842 (ebook). Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical...
Wiley, 2021. — 887 p. — ISBN: 978-1-119-63277-1. 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 covers a wide range of...
Willey, 2021. — 887 p. in color — ISBN: 9781119632764. This book brings together skills and knowledge that can help to boost your career. It is an excellent tool for people working as database manager, data scientist, quant, modeller, statistician, analyst and more, who are knowledgeable about certain topics, but want to widen their horizon and understand what the others in...
Springer, 2020. — 217 p. — ISBN: 978-9811575679 (paperback), ISBN: 978-9811575686 (ebook). The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs. As the...
Apress Media, LLC., 2020. — 481 p. — ISBN13: 978-1-4842-6052-4. 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...
McGraw-Hill Education (India), 2018. — 579 p. — ISBN13: 978-93-5260-524-8. This book is aimed at undergraduate students of computer science and engineering. The book will be useful companion for IT professionals to data analysts and decision makers responsible for driving strategic initiatives and management graduates and business analysts, engaged in self-study. This book by...
Chapman and Hall/CRC, 2020. — 390 p. — ISBN: 978-0367563820 (hardback), ISBN: 978-0367563837 (paperback), ISBN: 978-1003097471 (ebook). 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...
2nd Edition. — O’Reilly Media, 2019. — 600 p. — ISBN: 1492040681, 978-1492040682. 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...
Independently published, 2019. — 164 p. — ISBN: 978-1710374117 (paperback). Do you want to get started learning how to program, but don't know where to begin? Are you interested in moving beyond Excel sheets and learning one of the most powerful programming language used in cutting edge research such as machine learning? If you answered yes to any of these questions, then this...
Springer, 2020. — 107 p. — (Use R!) — ISBN: 3030564843. 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 be adapted to...
CRC Press, 2020. — 365 p. — ISBN: 9780367182557, 9780367182533, 9780429060342. This book covers different aspects of the use of the R language. Chapters 1 to 5 describe the R language itself. Later chapters describe extensions to the R language available through contributed packages, the grammar of data and the grammar of graphics. In this book, explanations are concise but...
CRC, 2020. - 364 p. - ISBN: 9780367182557 Learning a computer language like R can be either frustrating, fun, or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward on overcoming them. This book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will...
2nd ed. — CreateSpace Independent Publishing Platform, 2020. — 360 p. — ISBN: 9798648424364. This book introduces the popular, powerful and free programming language and software package R with a focus on the implementation of standard tools and methods used in econometrics. Unlike other books on similar topics, it does not attempt to provide a self-contained discussion of...
2nd ed. — Apress, 2020. — 446 p. — ISBN: 978-1484259726 (paperback), ISBN: 978-1484259733 (ebook). 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...
Birmingham, Packt Publishing, 2019, 503 p. Learn the ropes of supervised machine learning with R by studying popular real-world use-cases, and understand how it drives object detection in driver less cars, customer churn, and loan default prediction. Key Features Study supervised learning algorithms by using real-world datasets. Fine tune optimal parameters with hyperparameter...
Apress, 2020. - 332 p. - ISBN: 1484259459 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 dives into specific...
North Holland, 2019. — 311 p. — (Handbook of Statistics 41). — ISBN: 9780444643117, EISBN 9780444643124. Conceptual Econometrics Using R, Volume 41 provides state-of-the-art information on important topics in econometrics, including quantitative game theory, multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity...
2nd ed. — Springer, 2020. — 235 p. — (Use R!) — ISBN: 3030441288, 9783030441289, 9783030441296. The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R . It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network...
2nd ed. — Guzzler Media LLC, 2019. — 118 p. — ISBN: 9781696769648. 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...
CRC Press, 2020. — 365 p. — ISBN: 9780367439149, EISBN 9781003006695. 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...
Independently published, 2019. — 392 p. — ISBN: 978-1692035501 (paperback). R is a programming language developed is widely used for statistical and graphical analysis. It can execute advance machine learning algorithms including earning algorithm, linear regression, time series, statistical inference. R programming language is used by Fortune 500 companies and tech bellwethers...
McGraw-Hill Education, 2018. — 580 p. — ISBN: 9789352605248. We are in very exciting times! Statistical computing and high-scale data analysis tasks need a new category of computer language other than the procedural and object-oriented programming languages. The main objective of this category of language is to support various types of statistical analysis and data analysis...
2nd Edition. — Springer, 2020. — xxiii, 277 p. — (Quantitative Methods in the Humanities and Social Sciences). - ISBN: 978-3-030-39642-8, 978-3-030-39643-5. Now in its second edition, Text Analysis with Rprovides a practical introduction to computational text analysis using the open-source programming language R. R is an extremely popular programming language, used throughout...
Amazon.com Services LLC, 2020. — 140 p. — ISBN N\A. This short book will get you to regex competence quickly. With simple explanations, Regular Expressions in R lays out practical examples and techniques to speed and simplify your R code. Take advantage of regular expression’s powerful text parsing tools. Who this book is for R developers, data scientists, and general R users...
3rd ed. — Chapman and Hall/CRC, 2020. — 299 p. — (R Series) — ISBN: 0367144026,9780367144029. Reproducible Research with R and R Studio, Third Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow. This practical workflow enables you...
Chapman and Hall/CRC, 2020. — 252 p. — ISBN: 9781138599635, EISBN 9780429470837. R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use...
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...
CRC Press, 2018. — 213 p. — ISBN: 9781138626911. Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at...
New York: Chapman and Hall/CRC, 2019. — 330 p. R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice'' functions in calculus classes. They can require reports and homework with graphs. They can do simulations and experiments. R can be useful for student projects, for creating graphics...
Springer, 2020. — 323 p. — ISBN: 978-981-15-2034-1. This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader’s R skills are gradually...
2nd Edition. — John Wiley & Sons, Inc., 2020. — 473 p. — ISBN: 978-1119536949. Provides a comprehensive introduction to probability with an emphasis on computing-related applications This self-contained new and extended edition outlines a first course in probability applied to computer-related disciplines. As in the first edition, experimentation and simulation are favoured...
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...
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...
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...
Simon Munzert, Christian Rubba, Peter Meißner, Dominic Nyhuis. — John Wiley & Sons Ltd, 2015. — 469 p. — ISBN: 978-1-118-83481-7. A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query...
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...
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...
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...
Nicholas J. Horton, Randall Pruim, & Daniel Kaplan. Edition 1.2, November 2015. — 120 p. — ISBN N\A. Present an approach to teaching introductory and intermediate statistics courses that is tightly coupled with computing generally and with R and RStudio in particular.
Wiley, 2020. — 880 p. — ISBN: 1118387988, 9781118387986, 1118594134, 9781118594131, 1119449197, 9781119449195, 1118594614, 9781118594612. 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...
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...
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...
Pakistan: Rawalpindi, 2019. — 384 p. — ISBN: 978-1707715268. This book is a try to make statistics colorful along with basic instructions in R Programming Language … It has handy illustrations on a huge number of statistical topics with beautiful colors as can be found through the table of contents. This book will help the students to learn and utilize some basic concepts of...
Springer, 2020. — 167 p. — ISBN: 9783030276027, EISBN 9783030276034. This textbook covers R data analysis related to terrestrial ecology, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R, but Chap. 5...
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...
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...
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...
Palgrave Macmillan, 2015. — 281 p. — ISBN: 978-1-349-46986-4. 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 complex...
John Wiley & Sons Inc., 2020. — 873 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...
2nd Edition. — Packt Publishing, 2020. — 592 p. — ISBN13: 978-1-4987-8575-4. An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections....
2nd Edition. — Packt Publishing, 2020. — 592 p. — ISBN13: 978-1-4987-8575-4. An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections....
De Gruyter, 2019. — 274 p. — ISBN: 9781547417469. Business Statistics Using R covers a wide range of applications of statistics in solving business related problems. It will introduce readers to quantitative tools that are necessary for daily business needs and help them to make evidence-based decisions. The book provides an insight on how to summarize data, analyze it, and...
CRC Press, 2019. — 327 p. — (Biostatistics Series). — ISBN: 9781138295872. Drug development is an iterative process. The recent publications of regulatory guidelines further entail a lifecycle approach. Blending data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake of Bayesian methodologies is...
CRC Press, 2020. — 227 p. — (The R Series). — ISBN: 1138034312, 9781138034310. Nowadays the term dose-response is used in many different contexts and many different scientific disciplines including agriculture, biochemistry, chemistry, environmental sciences, genetics, pharmacology, plant sciences, toxicology, and zoology. In the 1940 and 1950s, dose-response analysis was...
Rawalpindi, Pakistan, 2019. — 384 p. — ISBN N\A. This book will help the students to learn and utilize some basic concepts of statistics while utilizing R 3.6.1.
Publication details not specified, 2019. — 430 p. This book is written for those who want to learn how to analyze data. This challenge arises frequently when you need to determine a previously unknown fact. For example: does this new medicine have an effect on a patient’s symptoms? Or: Is there a difference between the public’s rating of two politicians? Or: how will the oil...
Packt Publishing, 2015. — 242 p. — ISBN: 1784395803, 9781784395803. Qlik Sense Desktop, the personal and free version of Qlik Sense, is a powerful tool for business analysts to analyze data and create useful data applications. Rattle, developed in R, is a GUI used for data mining and complements Qlik Sense Desktop very well. By combining Rattle and Qlik Sense Desktop, a...
2nd Edition. — Manning Publications, 2020. — 568 p. — ISBN: 9781617295874. !Code files Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts...
Chapman and Hall/CRC, 2019. — 354 p. — (The R series). — ISBN: 1138304514, 9781138304512. Geocomputation with R is for people who want to analyze, visualize and model geographic data with open-source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge...
2nd ed. — Manning, 2019. — 448 p. — ISBN: 9781617295874. Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in...
2nd Edition. — Manning Publications, 2020. — 568 p. — ISBN: 9781617295874. Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts and data...
Wiley, 2019. — 880 p. — ISBN: 978-1118387986. 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 caused by...
O’Reilly Media, Inc., 2020. — 296 p. — ISBN: 149204637X 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 how to...
Routledge, 2019. — 376 p. — ISBN: 9781138329164, 9781138329256. The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used methods. Beginning with basic tasks and computations with R, readers...
2nd Edition. — CRC Press, Taylor & Francis Group, 2019. — 253 p. — ISBN13: 978-1-1384-8071-1. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes...
Apress, 2017. — 103 p. — ISBN13: 978-1-4842-2880-7. Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a...
Apress, 2016. — 217 p. — ISBN: 9781484221778, EISBN: 9781484221785 Code files only! This book explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution. Readers will gain a unique insight into the mechanics and computational considerations taken in building a backtester, strategy optimizer, and fully functional...
Apress, 2017. — 262 p. — ISBN: 978-1-4842-3143-2. Code files only! Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which...
Apress, 2017. — 352 p. — ISBN: 978-1-4842-2670-4. Code files only! Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in...
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:...
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:...
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:...
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:...
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...
Springer, 2020. — 248 p. — ISBN: 9783030242763. This book introduces readers to the use of R codes for optimization problems. First, it provides the necessary background to understand data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how to use them to solve optimization problems with R....
Springer, 2020. — 248 p. — (Studies in Fuzziness and Soft Computing 386). — ISBN: 978-3-030-24276-3. This book introduces readers to the use of R codes for optimization problems. First, it provides the necessary background to understand data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how...
Springer, 2019. — 168 p. — (Springer Geography). — ISBN10: 9811380112, 13 978-9811380112. This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also provides a concise and practical reference tutorial, which equips readers to immediately start using the software platform and R packages for image...
CRC Press, 2019. — 397 p. — (The R series). — ISBN: 1138711136, 9781138711136. The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these "big data" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio-Temporal Statistics...
2nd Edition. — O’Reilly Media, 2019. — 600 p. — ISBN: 1492040681, 978-1492040682. 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...
O’Reilly Media, Inc., 2020. — 250 p. — ISBN: 9781492046363. 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 how...
Oxford: Oxford University Press, 2014. — 170 p. Introduction: Single-Subject Research Designs in the Social and Health Sciences Getting your Data into SSD for R Overview of SSD for R Functions Analyzing Baseline Phase Data Comparing Baseline and Intervention Phases: Visualizing Your Findings and Descriptive Statistics Statistical Tests of Type I Error Analyzing Group Data...
MJP Publishers, 2019. — 383 p. — ISBN: 9788180944086. If you are looking for a complete step-by-step instructions for learning R Programming for Statistical Data Analysis, Graphical Visualization and Data Mining, authors Dr. Sudhamathy & Dr. Jothi venkateswaran’s “R Programming - An Approach to Data Analytics” is a hands-on book packed with examples and references that would...
Packt Publishing, 2015. — 248 p. — ISBN13: 978-1784396312. Extract valuable data from your social media sites and make better business decisions using R About This Book Explore the social media APIs in R to capture data and tame it Employ the machine learning capabilities of R to gain optimal business value A hands-on guide with real-world examples to help you take advantage of...
Oxford: Oxford University Press, 2019. — 364 p. Statistical analysis is common in the social sciences, and among the more popular programs is R. This text provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualise, and analyze data. The focus is on how to address substantive questions with data analysis and...
Springer, 2016. — 261 p. — ISBN: 9783030137847. This textbook provides a step-by-step introduction to the class of vine copulas, their statistical inference and applications. It focuses on statistical estimation and selection methods for vine copulas in data applications. These flexible copula models can successfully accommodate any form of tail dependence and are vital to many...
UNAM, 2016. — 446 p. — ISBN: En trámite. En este libro de texto los usuarios encontraran una vía práctica para mejorar su comprensión de la econometría, al utilizar aplicaciones a su realidad social, emplear las fuentes de información disponibles en el país y disponer de un formato tecnológico en el que pueden aplicar los conocimientos adquiridos, poner en práctica propuestas...
2nd edition. — 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...
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...
Apress, 2019. - 365 p. - ISBN: 1484244044 2nd.ed 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 correct form for an...
Apress, 2019. - 365 p. - ISBN: 1484244044 2nd.ed 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 correct form for an...
Apress, 2019. — 157 p. — ISBN10: 1484245105, 13 978-1484245101. Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R...
Chapman and Hall/CRC, 2016. — 545 (true PDF) p. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN10: 149872583X. An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data. Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of...
2nd Edition. — Springer, 2019. — 492 p. — ISBN: 978-3-030-14315-2 ISBN: 978-3-030-14316-9. Basics of R Welcome to R An Overview of the R Language Fundamentals of Data Analysis Describing Data Relationships Between Continuous Variables Comparing Groups: Tables and Visualizations Comparing Groups: Statistical Tests Identifying Drivers of Outcomes: Linear Models Advanced Marketing...
Springer, 2019. — 259 p. — ISBN: 9811358494. Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning. Deep learning is a specific...
Springer, 2019. — 259 p. — ISBN: 9811358494. Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning. Deep learning is a specific...
2nd Edition. — Chapman and Hall/CRC, 2018. — 273 p. — ISBN: 978-1-1380-8998-3. Focusing on the exploration of data with visual methods, this book presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to...
Manning Publications, 2018. — 352 p. — ISBN: 1617294594. Beyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more. You'll build on simple programming techniques like loops and conditionals to create your own custom functions. You'll come away with a toolkit of strategies for analyzing and visualizing data of...
Zurich: Finance Online GmbH, 2010. — 96 p. — (R/Rmetrics eBook). — ISBN: 9783906041056. This is a book about data management of Indian financial market data for R/Rmetrics. It is especially suited to students, academics, and researchers who have otherwise no access to Indian financial market data. This Rmetrics eBook comes with dozens of examples showing how to efficiently...
New York: Leanpub, 2018. — 182 p. Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto...
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...
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...
Zurich: Rmetrics Association & Finance Online Publishing, 2013. — 187 p. — ISBN: 9783906041124. The book is a set of lecture notes used in a first year graduate course in empirical finance. The book focuses on the pricing and risk management of financial assets: bonds, options and other derivative securities. The emphasis is resolutely empirical: we present models, discuss...
O’Reilly, 2011. — 436 p. — (O’Reilly Cookbooks). — ISBN: 9780596809157. 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...
Uppsala University, 2014. — 102 p. — ISBN N\A. This introduction directed at advanced BSc and at beginning MSc students on Biology at Uppsala University and may of course also be helpful for anyone interested. We have kept this script concise and applied in order to allow people to conduct own statistical analyses in R after a short time. Note that this “quick- start” guide...
CreateSpace Independent Publishing Platform, 2016. — 356 p. — ISBN: 1523285133, 9781523285136. Introduces the popular, powerful and free programming language and software package R Focus: implementation of standard tools and methods used in econometrics Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and...
Apress, 2019. — 638 p. — ISBN: 978-1484228715. Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and...
Apress, 2019. — 638 p. — ISBN: 978-1484228715. Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and...
2nd ed. — CRC Press, 2019. — 685 p. — ISBN: 9780815392750. Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics,...
Version finale, 2016. — 223 — ISBN N\A. L’objectif de cet aide-mémoire est de guider tout biologiste qui en sentirait le besoin dans sa demarche statistique, depuis la construction du protocole expérimental jusqu’à l’analyze des résultats qui en découlent. Il doit permettre de s’en sortir seul, tout en assurant une analyze appropriée et rigoureuse. Bien entendu, il ne dispense...
Springer, 2018. — 274 p. — ISBN: 9783319896342. This book introduces the main theoretical findings related to copulas and shows how statistical modeling of multivariate continuous distributions using copulas can be carried out in the R statistical environment with the package copula (among others). Copulas are multivariate distribution functions with standard uniform univariate...
Addison-Wesley Professional, 2018. — 384 p. — ISBN: 978-0135133101. Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience....
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...
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. 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. 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...
SAGE, 2018. - 608 p. - ISBN: 1544336470 3rd.ed. An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data...
2nd Edition. — John Wiley & Sons (Asia) Pte Ltd., 2009. — 290 p. — ISBN: 0470824425. In this fully revised and expanded edition of Smooth Tests of Goodness of Fit, the latest powerful techniques for assessing statistical and probabilistic models using this proven class of procedures are presented in a practical and easily accessible manner. Emphasis is placed on modern...
SAGE Publications, 2016. — 224 p. — ISBN: 1452288887. Practical Propensity Score Methods Using R by Walter Leite is a practical book that uses a step-by-step analysis of realistic examples to help students understand the theory and code for implementing propensity score analysis with the R statistical language. With a comparison of both well-established and cutting-edge...
Springer, 2018. — 464 p. — (Use R!). — ISBN: 9781493988518, 9781493988532. This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of statistical...
Boca Raton, USA: CRC Press, Taylor & Francis Group, 2018. — 261 p. — (The R Series). — ISBN: 1138386359. Do you want to use R to tell stories? This book was written for you-whether you already know some R or have never coded before. Most R texts focus only on programming or statistical theory. Practical R for Mass Communication and Journalism gives you ideas, tools, and...
3rd ed. — CRC Press, 2018. — 442 p. — ISBN: 1498789056, 9781498789059. This third edition of Paul Murrell's classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages in R - graphics and grid - and has a new section on integrating graphics. This section includes three new...
Wiley, 2017. — 310 p. — ISBN: 9781119282099. A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical,...
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...
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...
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...
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...
Rmetrics Associa6on & Finance Online Publishing, 2014. — 234 p. — (R/Rmetrics eBook Series). — ISBN: 9783906041216. The eBook reprints several unpublished articles and reports from the Econophysics Group at ETH Zurich.The articles show how Bayesian stability concepts and related approaches can be used by investment managers to analyze their portfolio design and to improve...
Apress, 2019. — 243 p. — ISBN: 9781484241998, EIBN 9781484242001. Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning...
Apress, 2019. — 243 p. — ISBN: 9781484241998, EIBN 9781484242001. Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning...
Rmetrics Association & Finance Online Publishing, 2015. — 304 p. — (R Rmetrics eBooks). — ISBN: 9783906041032. This is a book about the R packages timeDate and timeSeries.
Rmetrics Association, 2010. — 164 p. — ISBN: 9783906041001. Are you working with R and Rmetrics in the field of finance? Then you will usually use either xts/zoo or timeSeries/timeDate as your preferred time series package of functions and methods to create and manage financial time series objects. Often you may have asked yourself how certain functions in one time series...
Amazon Digital Services LLC, 2018. — 276 p. The Data Science field is expected to continue growing rapidly over the next several years and Data Scientist is consistently rated as a top career.Data Science with R gives you the necessery theoretical background to start your Data Science journey and shows you how to apply the R programming language through practical examples in...
Amazon Digital Services LLC, 2018. — 276 p. The Data Science field is expected to continue growing rapidly over the next several years and Data Scientist is consistently rated as a top career.Data Science with R gives you the necessery theoretical background to start your Data Science journey and shows you how to apply the R programming language through practical examples in...
Lulu Inc., 2014. — 535 p. — ISBN: 9781312841017. This book is about predictive analytics. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this a survey of predictive modeling, both statistical (parametric and nonparametric), as well as machine learning. We define predictive model as a statistical model or machine learning model...
Rmetrics Association, 2010. — 252 p. — ISBN N\A. Welcome to the first R/Rmetrics Singapore Conference on “Computational Topics in Finance”. We are very glad that you found the time to come to the Singapore, and for the many of you traveling from the U.S., Europe and various places in Asia, we hope that your journey was not too arduous. With the R/Rmetrics Singapore Conference,...
Springer Pub., 2018. — 573 p. — ISBN: 978-1-4419-0118-7. This textbook presents an introduction to multiple linear regression, providing real-world data sets and practice problems. A practical working knowledge of applied statistical practice is developed through the use of these data sets and numerous case studies. The authors include a set of practice problems both at the end...
Rmetrics Association & Finance Online, 2010. — 194 p. — ISBN: 9783906041049. In this eBook you will find solutions for how to compose download URLs, how to download financial time series and how to generate listings for the financial instruments to make the search for individual time series easier. In all cases examples and exercises are given. This eBook is a Sweave document...
Springer, 2018. — 573 p. — (Springer Texts in Statistics). — ISBN: 1441901175. This textbook presents an introduction to multiple linear regression, providing real-world data sets and practice problems. A practical working knowledge of applied statistical practice is developed through the use of these data sets and numerous case studies. The authors include a set of practice...
Springer, 2018. — 573 p. — (Springer Texts in Statistics). — ISBN: 1441901175. This textbook presents an introduction to multiple linear regression, providing real-world data sets and practice problems. A practical working knowledge of applied statistical practice is developed through the use of these data sets and numerous case studies. The authors include a set of practice...
2nd ed. — O’Reilly, 2018. — 444 p. — ASIN B07JPL9K64. This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly — without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and...
2nd ed. — O’Reilly, 2018. — 444 p. — ASIN B07JPL9K64. This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly — without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and...
Addison-Wesley Professional, 2018. — 399 p. — (Addison-Wesley Data & Analytics Series) — ISBN: 0135133106, 9780135133101. Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if...
Chapman and Hall/CRC, 2018. — 600 c. — ISBN: 1138480606, 9781138480605, 9780429847035. Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R...
O’Reilly Media, Inc., 2017. — 234 p. — ISBN: 1491950781, 9781491950784 There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively — until now. This hands-on book teaches...
2nd Edition. — CRC Press, Taylor & Francis Group, 2017. — 751 p. — ISBN: 978-1-4987-3422-6. 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...
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...
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...
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...
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...
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...
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...
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...
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...
CRC Press, 2018. — 319 p. — ISBN: 9781498795883. Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R. For professors, it is useful as a textbook for a descriptive or...
Springer, 2017. — 183 p. — (Use R!). — ISBN: 9783319692173 EISBN 9783319692180. The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open-source language and several data examples. Implementation relies on the R...
CRC Press, 2018. — 172 p. — ISBN: 0815363729. blogdown: Creating Websites with R Markdown provides a practical guide for creating websites using the blogdown package in R. In this book, we show you how to use dynamic R Markdown documents to build static websites featuring R code (or other programming languages) with automatically rendered output such as graphics, tables,...
CRC Press, 2018. — 721 p. — (CRC revivals). — ISBN: 9781351074988, 1351074989, 0412741504, 9781315895888. The combination of interactive computing and graphics in S provides a powerful environment for understanding data. Plots can be used to look at data in a variety of ways and also to study the results of analyses, such as the fitting of models and various statistical...
Springer-Verlag France, 2013. — 342 p. — (Praticue R). — ISBN: 9782817804248. Cet ouvrage couvre un programme complet de statistique pour la licence de psychologie (L1 à L3), depuis les bases élémentaires de combinatoire et de probabilités jusqu'aux modèles élaborés permettant de mettre à l'épreuve des hypothèses psychologiques. Présentés à partir de données réelles, les...
CRC Press, 2018. — 583 p. — ISBN: 9781466516007. Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era of big data and precision...
CRC Press, 2012. — 306 p. — ISBN: 9781439881460, 1439881464. Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated...
Second Edition. — New York: O’Reilly Media, 2018. — 1151 p. — ISBN: 9781491978597. Early Release Updated (08/2018) The updated edition of this practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply...
Createspace, 2013. — 332 p. 100 Statistical Tests in R is designed to give you rapid access to one hundred of the most popular statistical tests. It shows you, step by step, how to carry out these tests in the free and popular R statistical package. The book was created for the applied researcher whose primary focus is on their subject matter rather than mathematical lemmas or...
2nd Edition. — Wiley, 2019. — 544 p. — ISBN: 978-1-119-41653-1. This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of...
2nd Ed. Sage Publications, 2011 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 any course on modern applied regression analysis ....
Springer London, 2013. — 182 p. When encountering difficult concepts in computer programming for the first time, many students struggle to find simple explanations in their textbooks. Information can also be hard to find on common mistakes made when implementing algorithms and writing programs. This concise and easy-to-follow textbook/guide provides a student-friendly...
CRC Press, 2018. — 340 p. R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and...
N.Y.: Springer, 2015. — 172 p. We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open-source package library....
Manning Publications, 2018. — 392 p. Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as question answering, machine translation, and optical character recognition....
McGrath M. R for Data Analysis in easy steps: R Programming Essentials In Easy Steps Ltd., 2018. — 243 p. — ISBN N\A. The creation of this book has been for me, Mike McGrath, an exciting personal journey in discovering how the R programming language can be used today for data analysis and the production of beautiful data visualizations. Example code listed in this book...
Wiley-VCH, 2018. — 657 p. — ISBN: 3527715371, 9783527715374. Dieses Buch bietet einen einzigartigen Learning-by-Doing-Ansatz. Sie werden Ihre R-Fähigkeiten erweitern und vertiefen, indem Sie eine Vielzahl von Beispielprojekten aus der Praxis nachvollziehen. Erlernen Sie die Grundlagen von R und RStudio sowie Möglichkeiten der Datenreduktion, des Mapping und der...
Springer, 2018. — 289 p. — ISBN: 3319756672. This book is a comprehensive guide to qualitative comparative analysis (QCA) using R. Using Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena, QCA acts as a bridge between the quantitative and the qualitative traditions. The QCA package for R, created by...
Palgrave-MacMillan, 2018. — 155 p. — ISBN: 9781137409508, 9781137409515. This book provides the user with step-by-step coding and guidance for the practical application of the SSA technique to analyze their time series databases using R. We provided some basic R commands in Appendix, so the readers who are not familiar with this language please learn the very basics in the...
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...
New York, USA: Apress Media LLC, 2018. — 152 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...
New York, USA: Apress Media LLC, 2018. — 257 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...
Springer, 2018. — 572 p. — (Use R!). — ISBN: 978-3-319-77645-3. Sound is almost always around us, anywhere, at any time, reaching our ears and stimulating our brains for better or worse. Sound can be the disturbing noise of a drill, a merry little tune sung by a friend, the song of a bird in the morning or a clap of thunder at night. The science of sound, or acoustics, studies...
Springer, 2018. — 682 p. — (Use R!). — ISBN: 978-3-319-77645-3. Sound is almost always around us, anywhere, at any time, reaching our ears and stimulating our brains for better or worse. Sound can be the disturbing noise of a drill, a merry little tune sung by a friend, the song of a bird in the morning or a clap of thunder at night. The science of sound, or acoustics, studies...
CRC Press, 2018. — 371 p. — ISBN: 9781498736893. After the fundamental volume and the advanced technique volume, this volume focuses on R applications in the quantitative investment area. Quantitative investment has been hot for some years, and there are more and more startups working on it, combined with many other internet communities and business models. R is widely used in...
Springer, 2018. — 272 p. — (Use R!). — ISBN: 9783319555690. The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central...
CRC Press, 2018. — 223 p. — (R Series). — ISBN: 9781498741903. This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to...
Stanford Med., 2018. — 55 p. Objectives: Examples demonstrating the benefits of lattice or ggplot2 package Help you decide which to try. Introduce keywords so that you will be able to find additional help in R documentation and by Googling. If you already use one of these packages, you might still learn something new — or decide to use the other one as well. Also ComplexHeatmap...
RStudio, 2016 — 5 p. Quick reference to R programming language 2. Environments. Data Structures. Object Oriented Field Guide. Functions. Subsetting. Debugging, Condition Handling and Defensive Programming.
Manual. — Babraham Bioinformatics, 2017. — 36 p. In this course we extend these initial skills by looking at some more complex, but still core, R operations. We also look at how to combine the pieces of functionality you already know to solve more complex problems by constructing more complex compound statements. We start by reviewing the core data structures and looks at how...
Univ. of Illinois, 2018. — 389 p. This book was originally (and currently) designed for use with STAT 420, Methods of Applied Statistics, at the University of Illinois at Urbana-Champaign. It may certainly be used elsewhere, but any references to “this course” in this book specifically refer to STAT 420.
Univ. of Georgia, Athens, 2017 — 26 p. Installing and Learning R Objects and Functions Vectors Factors Lists Matrices Data Frames Importing Larger Data Sets Generation Numbers Basic Statistics Efficient computation Plots Saving and Exporting Results Programming R Customizing R
Columbia Univ., 2015 — 40 p. — EPIC R When R doesn’t work for you because you have too much data? Big data presents opportunity, but is also a pain in the neck. Computing power mitigates some of the pain. Because big data is “the future”, there’s a lot of interest around how we’ll handle it, but technologies and systems are still getting figured out.
Trowchez Editions. — Berkeley, 2014. — 113 p. This ebook aims to help you get started with manipulating strings in R. Although there are a few issues with R about string processing, some of us argue that R can be very well used for computing with character strings and text. R may not be as rich and diverse as other scripting languages when it comes to string manipulation, but...
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...
Wiley, 2018. — 240 p. — ISBN: 1119302609. Covering both random and strategic games, Probability, Decisions and Games features a variety of gaming and gambling examples to build a better understanding of basic concepts of probability, statistics, decision theory, and game theory. The authors present fundamental concepts such as random variables, rational choice theory,...
London: Sage Publications Inc., 2002. — 328 p. — ISBN: 0761922792. The book provides a valuable supplement to texts on regression analysis and linear models by showing readers how to put into practice the strategies and techniques involved in modern statistical methodology. It explains clearly the use of a very sophisticated and powerful statistical software system. And, while...
London: 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...
Packt Publishing, 2017 . - 366 p. - ISBN: 1788621875 !Only code files! Key Features A handy guide to take your understanding of data analysis with R to the next level Real-world projects that focus on problems in finance, network analysis, social media, and more From data manipulation to analysis to visualization in R, this book will teach you everything you need to know about...
Packt Publishing, 2017 . - 366 p. - ISBN: 1788621875 Key Features A handy guide to take your understanding of data analysis with R to the next level Real-world projects that focus on problems in finance, network analysis, social media, and more From data manipulation to analysis to visualization in R, this book will teach you everything you need to know about building...
Packt Publishing, 2017 . - 366 p. - ISBN: 1788621875 Key Features A handy guide to take your understanding of data analysis with R to the next level Real-world projects that focus on problems in finance, network analysis, social media, and more From data manipulation to analysis to visualization in R, this book will teach you everything you need to know about building...
Packt Publishing, 2017. — 442 p. — ISBN: 1787124460. !Only code files! Mine valuable insights from your data using popular tools and techniques in R About This Book Understand the basics of data mining and why R is a perfect tool for it. Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights from it. Apply effective...
Packt Publishing, 2017. — 442 p. — ISBN: 1787124460. Mine valuable insights from your data using popular tools and techniques in R About This Book Understand the basics of data mining and why R is a perfect tool for it. Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights from it. Apply effective data mining models...
Packt Publishing, 2017. — 442 p. — ISBN: 1787124460. Mine valuable insights from your data using popular tools and techniques in R About This Book Understand the basics of data mining and why R is a perfect tool for it. Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights from it. Apply effective data mining models...
TutorialsPoint. This tutorial is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to...
Springer International Publishing AG, 2017. — 264 p. — ISBN: 3319502700. This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing...
Wiley, 2018. — 576 p. — ISBN: 978-1-118-87936-8. This book presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and...
GoalKicker.com, 2018. — 474 p. The R Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. Text content is released under Creative Commons BY-SA. See credits at the end of this book whom contributed to the various chapters. Images may be copyright of their respective owners unless otherwise...
Apress, 2018. — 282 p. — ISBN: 1484234944. This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and...
SAGE Publications Ltd, 2018. 392 p. - ISBN: 978-1473924901 The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for readers hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to...
SAGE Publications Ltd, 2018. 392 p. - ISBN: 978-1473924901 The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for readers hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to...
Wiley, 2018. — 320 p. — ISBN: 978-1118897157. A comprehensive guide to automated statistical data cleaning The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines...
In Easy Steps Limited, 2018. — 192 p. — ISBN: 978-1840787955. Only CODE files! The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data...
In Easy Steps Limited, 2018. — 192 p. — ISBN: 978-1840787955. The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data Analysis in easy...
In Easy Steps Limited, 2018. — 192 p. — ISBN: 978-1840787955. The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data Analysis in easy...
New York: Leanpub, 2017. — 468 p. This book covers R software development for building data science tools. This book provides rigorous training in the R language and covers modern software development practices for building tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. The R Programming Environment...
Wiley, 2018. — 360 p. — (For Dummies). — ISBN: 978-1119446187. Make the most of R’s extensive toolset. R Projects For Dummies offers a unique learn-by-doing approach. You will increase the depth and breadth of your R skillset by completing a wide variety of projects. By using R’s graphics, interactive, and machine learning tools, you’ll learn to apply R’s extensive capabilities...
Wiley, 2018. — 360 p. — (For Dummies). — ISBN: 978-1119446187. Make the most of R’s extensive toolset. R Projects For Dummies offers a unique learn-by-doing approach. You will increase the depth and breadth of your R skillset by completing a wide variety of projects. By using R’s graphics, interactive, and machine learning tools, you’ll learn to apply R’s extensive capabilities...
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...
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...
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...
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...
Sage Publications, 2015. — 360 p. R is a powerful open-source computing tool that supports geographical analysis and mapping for the many geography and ‘non-geography’ students and researchers interested in spatial analysis and mapping. This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and the analysis of geographical...
This is a technical book. The scope of the book is to go straight to the point and the writing style is similar to a recipe with detailed instructions. It is assumed that you know the basics of R and that you want to learn how to create beautiful plots. Each chapter will explain how to create a different type of plot, and will take you step-by-step from a basic plot to a highly...
STHDA, 2017. — 145 p. Data visualization is one of the most important part of data science. Many books and courses present a catalogue of graphics but they don't teach you which charts to use according to the type of the data. In this book, we start by presenting the key graphic systems and packages available in R, including R base graphs, lattice and ggplot2 plotting systems....
STHDA, 2013. — 237 p. This book contains 6 parts providing step-by-step guides to create easily beautiful graphics using the R package ggplot2. The first part provides a quick introduction to R and to the ggplot2 plotting system. From part II to IV, we show how to create and customize several graph types including: density plots, histogram plots, ECDF, QQ plots, scatter plots,...
John Wiley & Sons, 2017. — 312 p. — ISBN: 9781119282099. A reliable, cost-effective approach to extracting priceless business information from all sources of text. Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a...
Amazon Digital Services LLC., 2017. – 254 p. – (Multivariate Analysis Book 02) – ASIN: B0754LHRMV. This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large multivariate data sets, using principal component methods (PCMs) in R. The visualization is based on the factoextra R package that we developed for...
Amazon Digital Services LLC., 2017. — 205 p. — (Multivariate Analysis Book 2) — ASIN: B0754LHRMV. This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large multivariate data sets, using principal component methods (PCMs) in R. The visualization is based on the factoextra R package that we developed for creating...
New York: Chapman & Hall/CRC, 2015. — 152 p. Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis...
Wiley, 2018. — 576 p. — ISBN: 978-1-118-87936-8. This book presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and...
Springer International Publishing AG, 2017. — 183 p. — (Use R!) — ISBN: 978-3-319-69217-3. Adaptive testing is, by now, a well-established procedure in educational and psychological assessment. Early adopters in the educational field in the USA were the icensing exam (NCLEX/CAT) of the National Council of State Boards of Nursing and the Graduate Record Examination (GRE). But at...
Springer, 2017. — 224 p. — ISBN: 978-981-10-6807-2. This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it’s applications to machine learning. It also includes a detailed...
Apress, 2017. — 262 p. — ISBN: 978-1-4842-3143-2. Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which can be exploited to...
True PDF Apress, 2017. — 262 p. — ISBN: 978-1-4842-3143-2. Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which can be...
Second Edition. — New York: O’Reilly Media, 2018. — 420 p. The updated edition of this practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how...
Springer, 2017. — 270 p. — ISBN: 9789811069956. The motivation in writing this book comes after the presentation of a poster at the R conference 2015 held at Denmark, Alborg, titled “Extending the Quasi-Symmetry Model: Quasi-Symmetry with n Degree.” I found that modeling doubly classified table is quite unknown to most conference attendees. Although there has been a dramatic...
Wiley, 2018. — 312 p. — ISBN: 978-1-119-08002-2. The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal,...
IGI Global, 2017. — 197 p. — ISBN: 9781683180166 The application of statistics has proliferated in recent years and has become increasingly relevant across numerous fields of study. With the advent of new technologies, its availability has opened into a wider range of users. Comparative Approaches to Using R and Python for Statistical Data Analysis is a comprehensive source of...
Springer, 2017. — 173 p. — (Use R!). — ISBN: 9783319653556, 3319653555, 9783319653549. Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, María José Lado Touriño, Leandro Rodríguez-Liñares, Jesús María Rodríguez Presedo, Arturo José Méndez Penín. This book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important...
O’Reilly Media, 2017. — 522 p. — ISBN: 9781491910399. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham...
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...
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...
2nd.ed. — Packt, 2017. — 523 p. — ISBN: 978-1787124479. Only sample files! 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...
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...
Apress, 2017. — 110 p. — ISBN13: 978-1-4842-2918-7. Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-oriented manner. You will then...
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 Linux...
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, 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, 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,...
School of Biological Sciences, Monah University, 2008. Manual for statistics in R programming. Running &Installation R under windows. Rcmdr. Data files. Summary statistics. Two sample test. Correlation and regression. ANOVA. Analyses of frequences. Multivariate analyses.
CRC, 2017. — 342 p. — ISBN: 978-1138088634. — (Chapman & Hall/CRC The R Series). Building on over thirty years’ experience in teaching and practicing data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practice of data science while building their data skills. Proven frameworks are provided as reusable...
Chapman & Hall, 2017. — 342 p. — ISBN: 978-1138088634. The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open-source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data. Building on over thirty...
CRC Press, Taylor & Francis Group, 2017. — 279 p. — ISBN: 1498723632. Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every...
Chapman and Hall/CRC, 2017. — 334 p. — ISBN: 978-1138627826. Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data...
O’Reilly Media, 2017. — 194 p. — ISBN: 978-1491981658. True PDF 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...
Apress, 2017. — 103 p. — ISBN: 978-1484228807. Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a very...
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...
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...
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...
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....
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. — 223 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...
Amazon Digital Services LLC, 2017. — 251 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...
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...
2nd Ed. — Chapman and Hall/CRC, 2017. — 516 p. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN10: 1498728332, ISBN13: 978-1498728331. The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software...
Apress, 2017. — 110 p. — ISBN13: 978-1-4842-2918-7. Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-oriented manner. You will then...
University College London, 2016. — 121 p. Document providing an excellent series of tutorials on the use of R for Spatial Data Analysis. An Introduction to R Data exploration in R Bivariate Plots in R Finding Relationships in R Making maps in R Mapping Point Data in R Using R as a GIS Representing Densities in R Measuring Spatial Autocorrelation in R Geographically Weighted...
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...
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...
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...
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...
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...
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...
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...
New York: Apress, 2017. - 103 p. Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a very high-level...
Apress, 2017. — 103 p. — ISBN13: 978-1-4842-2880-7. Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a...
New York: Leanpub, 2017. — 468 p. This book covers R software development for building data science tools. This book provides rigorous training in the R language and covers modern software development practices for building tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. The R Programming Environment...
CreateSpace Independent Publishing Platform, 2017. — 356 p. — ISBN: 978-1546483755. Finally, A Blueprint for Machine Learning with R! Machine Learning Made Easy with R offers a practical tutorial that uses hands-on examples to step through real-world applications using clear and practical case studies. Through this process it takes you on a gentle, fun and unhurried journey to...
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...
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...
Packt Publishing, 2016. — 398 p. — ISBN: 978-1785881169. +Code files Harness actionable insights from your data with computational statistics and simulations using R About This Book Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies A unique book that...
Palo Alto: Chi Yau, 2013. — 520 p. This text provides R tutorials on statistics, including hypothesis testing, ANOVA and linear regression. It fulfills popular demands by users of r-tutor.com for exercise solutions and offline access. Part III of the text is about Bayesian statistics. It begins with closed analytic solutions and basic BUGS models for simple examples. Then it...
New York: STHDA, 2017. — 187 p. Large amounts of data are collected every day from satellite images, bio-medical, security, marketing, web search, geo-spatial or other automatic equipment. Mining knowledge from these big data far exceeds human’s abilities. Clustering is one of the important data mining methods for discovering knowledge in multidimensional data. The goal of...
John Wiley & Sons, 2017. — 312 p. — ISBN: 9781119282099. A reliable, cost-effective approach to extracting priceless business information from all sources of text. Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a...
Amazon Digital Service, 2017. — 562 p. — ASIN B071DTSCPS. 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 replicable...
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...
Springer International Publishing AG, 2017. — 299 p. — ISBN: 3319502700. This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing...
New York: Springer, 2016. — 353 p. — (Use R!). This book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding. In widespread use in the statistical communities, R is a free software language and environment for statistical programming and graphics. Many...
The Guilford Press, New York, London, 2017. — 327 p. — ISBN: 9781462530267. Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical...
New York: Springer, 2017. — 173 p. This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it...
2nd ed. — Oxford University Press, 2017. — 251 p. — ISBN10: 0198787847. — ISBN13: 978-0198787846. R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R...
CRC Press, 2016. — 434 p. — ISBN: 9781498736879. — True PDF. 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...
2nd ed. — New York: Chapman and Hall/CRC, CRC Press, 2017. — 427 p. — ISBN13: 978-1-138-63197-7. The R Primer provides a collection of concise examples with solutions and interpretations of R problems frequently encountered by new users of this statistical software. Maintaining all the material from the first edition and adding substantial new material, the 2nd edition of The R...
2nd ed. — Taylor & Francis;Chapman and Hall/CRC, 2017. — 426 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery). — ISBN: 9781482234893, 1482234890 Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is...
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...
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...
CRC Press, 2017. — 415 p. — ISBN10: 1138627186. — ISBN13: 978-1138627185. This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective methdologies in traditional programing to R programing. It shows how to interface R with C, Java, and other...
CreateSpace Independent Publishing Platform, 2017. — 148 p. — ISBN10: 1543158315. — ISBN13: 978-1543158311. If you are an R user who wants to move away from SQL and instead wants to manipulate data within R, then this book is perfect for you. You will learn by examples, how to use the functions of dplyr package in place of SQL statements. The R’s dplyr provides functions for...
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...
Springer International Publishing AG, 2017. — 217 p. — (Methodology of Educational Measurement and Assessment) — ISBN: 3319518224. 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...
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...
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...
Apress, 2017. — 104 p. — ISBN: 9781484227459 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 how...
CRC, 2017. — 582 p. — ISBN: 978-1-4987-2448-7. Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art...
No Starch Press, 2016. — 832 p. — ISBN13: 978-1-59327-651-5. R is the world's most popular programming language for data analysis and statistical modeling. The Book of R provides an in-depth, beginner-friendly guide to the R language, and teaches you how to use R for common statistical analyses. In The Book of R you'll learn key programming techniques, including how to...
No Starch Press, 2016. — 832 p. — ISBN13: 978-1-59327-651-5. R is the world's most popular programming language for data analysis and statistical modeling. The Book of R provides an in-depth, beginner-friendly guide to the R language, and teaches you how to use R for common statistical analyses. In The Book of R you'll learn key programming techniques, including how to...
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 —...
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 —...
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 —...
Apress, 2017. — 352 p. — ISBN: 978-1-4842-2670-4. Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R details how...
Boca Raton: Chapman and Hall/CRC, 2012. — 312 p. — ISBN: 978-1-4398-8146-0. Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking...
CreateSpace Independent Publishing Platform, 2016. — 288 p. — ISBN: 1508593213, 9781508593218 Learning a programming language is not an easy work. It requires time, money and desire. You must search an academy or a teacher, achieve coordination with them, or worse, adapt your own time to their class times. You also have to pay the high fees, month to month, and what is even...
Chapman & Hall/CRC, 2017. — 144 p. — (The R Series). — ISBN: 9781498763653, 1498763650, 9781498763660, 1498763669 Learn how to write R code with fewer bugs. The problem with programming is that you are always one typo away from writing something silly. Likewise with data analysis, a small mistake in your model can lead to a big mistake in your results. Combining the two...
Chapman & Hall, 2017. — 140 p. — (The R Series). — ISBN: 9781138700109, 113870010X bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and...
Internet Resource, 2010. — 278 p. — ISBN: N\A The purpose of this book is to give an introduction into statistics in order to solve some problems of bioinformatics. Statistics provides procedures to explore and visualize data as well as to test biological hypotheses. The book intends to be introductory in explaining and programming elementary statistical concepts, thereby...
2nd ed. — Chapman and Hall/CRC , 2017. — 446 p. — ISBN: 978-1482234893. Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new...
Springer, 2015. — 393 p. — ISBN: 3319214152, 9783319214153 This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in...
Omnia Publisher SL, 2015. — 108 p. — ISBN: 8494422936, 9788494422935 Linear programming is one of the most extensively used techniques in the toolbox of quantitative methods of optimization. One of the reasons of the popularity of linear programming is that it allows to model a large variety of situations with a simple framework. Furthermore, a linear program is relatively easy...
New York: Martin Laredo Publishers, 2017. — 46 p. — ASIN B01N9WJGGW. Are you ready to learn a new coding language? Are you in charge of working with statistics or need to get through a large amount of data and you are worried about how to get it all done in a manageable way? Then it is time to learn how to use the R programming language. This language was designed with the idea...
Springer, 2017. — 271 p. — ISBN: 9783319443256 This book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and presents a strong focus on how to apply it. DSM exercises are also included and cover procedures for handling and manipulating soil and spatial data in R. The book also...
Internet, 2012. — 83 p. Carlson M., Obenchain V., Pages H., Shannon P., Tenenbaum D., Morgan M. This workshop introduces use of R and Bioconductor for analysis of high-throughput sequence data. The workshop is structured as a series of short remarks followed by group exercises. The exercises explore the diversity of tasks for which R Bioconductor are appropriate, but are far...
O’Reilly, 2011. — 131 p. — ISBN: 9781449309039 This book introduces users to the RStudio Integrated Development Environment (IDE) for using and programming R, the widely used open-source statistical computing environment. RStudio is a separate open-source project that brings many powerful coding tools together into an intuitive, easy-to-learn interface. RStudio runs in all...
Internet, 2017. — 102 p. — ISBN: N\A As its title implies, Using the R Commander (Fox, 2017) is written from the point of view of the user of the R Commander graphical user interface (GUI) to R. The book includes a brief introduction to the use of R Commander plug-in packages, employing the RcmdrPlugin.TeachingDemos and RcmdrPlugin.survival packages as examples. In contrast,...
2nd ed. — Cambridge University Press, 2016. — 230 p. — ISBN: 1107576466, 9781107576469. This new color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix...
ISTE Press - Elsevier, 2016. — 206 p. — ISBN: 178548088X, 9781785480881, 9780081011751, 008101175X Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data. It is therefore of primary importance to...
Springer, 2001. — 487 p. — (Statistics for Biology and Health). — ISBN: 1441931767, 9781441931764, 9781475732856 Each chapter will consist of basic statistical theory, simple examples of S-PLUS code, more complex examples of S-PLUS code, and exercises. All data sets will be taken from genuine medical investigations and will be made available, if possible, on a web site. All...
2nd ed. — New York: Springer, 1997. — 562 p. — (Statistics and Computing). — ISBN: 9781475727210, 9781475727197 S-PLUS is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational...
3rd ed. — New York: Springer, 1999. — 508 p. — (Statistics and Computing). — ISBN: 9781475731231, 9781475731217 S-PLUS is a system for data analysis from the Data Analysis and Products Division of MathSoft, an enhanced version of the S environment for data analysis developed at Bell Laboratories (of AT&T and now Lucent Technologies). S-PLUS has become the statistician's...
R Development Core Team, 2004. — 96 p. — ISBN: 3900051127 This introduction to R is derived from an original set of notes describing the S and S-Plus environments written by Bill Venables and David M. Smith (Insightful Corporation). We have made a number of small changes to reflect differences between the R and S programs, and expanded some of the material. We would like to...
Springer, 2003. — 24 p. — ISBN: 038798966826 These complements are made available on-line to supplement the book. In particular they describe changes for later versions of R and for S-PLUS 6.x on Unix and on Windows. Detailed changes are given in the on-line errata files: in particular many of the aspects in which R was different in late 1999 have been removed. The general...
Chapman and Hall/CRC, 2017. — 433 p. — (Chapman & Hall/CRC Biostatistics Series). — ISBN: 1482208237, 9781482208238, 9781315356396, 1315356392, 9781482208245, 1482208245 Kasim A., Shkedy Z., Kaiser S., Hochreiter S., Talloen W. Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and...
O’Reilly Media, Inc., 2017. — 234 p. — ISBN: 1491950781, 9781491950784 There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively — until now. This hands-on book teaches...
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...
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...
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...
CRC Press, 2017. — 394 p. — (R Series). — ISBN: 9781498741903 This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to...
2 edition. — A John Wiley & Sons, 2013. — 1076 p. — ISBN10: 0470973927. Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help...
Apress, 2016. — 450 p. — ISBN: 1484220765, 9781484220764 EISBN: 9781484220771 Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R is not designed to teach advanced R programming nor to...
Wiley, 2016. — 504 p. — ISBN: 1119061393, 9781119061397 Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non–statisticians. Providing a conceptual...
Boca Raton: CRC Press, 2016. — 388 p. Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model formulation, the book covers estimation,...
Bookboon, 2015. — 228 p. — ISBN: 978-87-403-1123-5. The book offers an introduction to statistical data analysis applying the free statistical software R, probably the most powerful statistical software today. The analyses are performed and discussed using real data. After a brief description of the statistical software R, important parameters and diagrams of descriptive...
Cambridge University Press, 2016. — 394 p. — ISBN: 978-1-107-15075-1. Are you innately curious about dynamically inter-operating financial markets? Since the crisis of 2008, there is a need for professionals with more understanding about statistics and data analysis, who can discuss the various risk metrics, particularly those involving extreme events. By providing a resource...
Apress, 2016. — 282 p. — ISBN: 978-1-4842-2076-4. Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R is not designed to teach advanced R programming nor to teach the theory behind...
CRC Press, 2016. — 379 p. — (Chapman & Hall/CRC The R Series). — ISBN: 978-1-4987-7572-4. Up-to-Date Guidance from One of the Foremost Members of the R Core Team Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides...
Springer, 2016. — 329 p. — ISBN: 3319306332, 9783319306339 This book contains a rich set of tools for nonparametric analyses, and the purpose of this supplemental text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data analysis are...
Springer, 2016. — 53 p. — (SpringerBriefs in Statistics). — ISBN: 3319457713 This book serves as a hands-on guide to the "acs" R package for demographers, planners, and other researchers who work with American Community Survey (ACS) data. It gathers the most common problems associated with using ACS data and implements functions as a package in the R statistical programming...
Springer-Verlag Berlin Heidelberg, 2011. — 164 p. — (Springer-Lehrbuch). — ISBN: 3642194834, 9783642194832 German. MS Excel ist das am häufigsten eingesetzte Tabellenkalkulationsprogramm zur Datenverarbeitung in Tabellenform. Für statistische Analysen ist Excel allerdings weniger geeignet. Seit 2009 gibt es jedoch „RExcel“ als Add-In, mit dem die Statistiksoftware R und deren...
Springer Spektrum, 2016. — 319 p. — (Springer-Lehrbuch). — ISBN: 9783662471173, 9783662471180 German. Informationen aus Daten zu gewinnen und einen Datensatz systematisch zu analysieren ist (k)eine Kunst. Für die aktuelle Version von „Statistik angewandt“ wurden zahlreiche Features ergänzt, um es dem Leser noch einfacher zu machen, Datensätze systematisch zu analysieren....
Chapman and Hall/CRC, 2015. — 248 p. — (The R Series). — ISBN: 1498712363, 9781498712361 A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers advanced...
Leanpub, 2016. — 301 p. The growth of R has been phenomenal over the past several years, reaching out past academia and research labs into the daily activities of business and industry. More and more line-level analysts are supplementing their SQL or Excel skills with R, and more and more businesses are hiring analysts with R skills to bridge the increasing gap between business...
Apress, 2016. — 217 p. — ISBN: 9781484221778, EISBN: 9781484221785 This book explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution. Readers will gain a unique insight into the mechanics and computational considerations taken in building a backtester, strategy optimizer, and fully functional trading platform....
Hoboken: Wiley, 2008. — 414 p. A Complete Introduction to probability AND its computer Science Applications USING R. Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical...
2nd Edition. — Wiley, 2016. — 496 p. — ISBN: 0470699620, 9780470699621 A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis. Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features. Examples include comparing brain shape in schizophrenia, investigating protein...
Wiley-VCH, 2017. — 355 p. — (Quantitative and Network Biology. Volume 7). — ISBN10: 3527339582. This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and...
Scientific Books, 2016. — 319 p. — ASIN: B01HC1LE0Y R provides a wide range of statistical tools (models linear and non-linear , statistical tests , analysis of time series , algorithms of classification and clustering , etc.) and graphic. Like S-Plus, it's a programming language, allowing users to extend it by defining your own functions. In fact, most of the functions of R...
CreateSpace Independent Publishing Platform, 2016. — 278 p. — ISBN: 1534798161, 9781534798168 R is a language and programming environment for statistical analysis and graphic. It is a project of free software , a result of the implementation GNU classic scientific language S-plus. R and S-plus are probably the two languages most commonly used in research by community...
New York: Packt Publishing, 2016. — 254 p. Learn about data mining with real-world datasets. Diverse real-world datasets to teach data mining techniques. Practical and focused on real-world data mining cases, this book covers concepts such as spatial data mining, text mining, social media mining, and web mining. Real-world case studies illustrate various data mining techniques,...
2014. This document contains explanations, examples and exercises, which can be understood (hopefully) by people without any programming experience. Going through all text and exercises takes about 1 or 2 hours.
Project Mosaic, 2015. — 119 p. This book is a product of Project MOSAIC, a community of educators working to develop new ways to introduce mathematics, statistics, computation, and modeling to students in colleges and universities. Authors present an approach to teaching introductory and intermediate statistics courses that is tightly coupled with computing generally and with R...
2nd ed. — Chapman and Hall/CRC, 2016. — 313 p. — ISBN: 1498715370, 9781498715379 All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio, Second Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire...
Pearson, 2015. — 480 p. in color. — ISBN: 9780133886559. Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the...
Springer, 2016. — 188 p. — (Lecture Notes in Social Networks). — ISBN: 9783319340418 This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book provides a practical introduction to...
2nd ed. — Wiley, 2014. — 336 p. — ISBN: 1118941098, 9781118941096 A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R. This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range...
Springer Nature, 2016. —176 p. — (Lecture Notes in Social Networks). — ISBN10: 3319340417, ISBN13: 978-3-319-34041-8. This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book provides...
Early Release - Raw & Unedited. — O’Reilly Media, 2016. — 120 p. — (Data Mining). — ISBN: 1491950781, Become a more productive programmer with Efficient R Programming. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace give practical advice on a range of topics — from optimizing set-up of RStudio to leveraging C++—that make this book a...
Springer, 2016. — 284 p. — (Computer Science). — ISBN: 3319287893, 9783319287898 This book introduces Meaningful Purposive Interaction Analysis (MPIA) theory, which combines social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyze a meaningful learning landscape from the digital traces left by a learning community in the co-construction of...
Wiley, 2014. — 320 p. — ISBN: 1118422546, 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...
New York: Springer, 2009. — 220 p. — (Use R!) — ISBN13: 978-0387938363. Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and...
Chapman and Hall/CRC, 2016. — 282 p. — ISBN10: 1498711545. — ISBN13: 978-1498711548. Series: Chapman & Hall/CRC The R Series Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach...
Tutorial based on workshop at Rutgers University. NetSciX 2016 School of Code Workshop, Wroclaw, Poland, 64 p. This tutorial covers basics of network analysis and visualization with the R package igraph (maintained by Gabor Csardi and Tamas Nepusz). The igraph library provides versatile options for descriptive network analysis and visualization in R, Python, and C/C++. This...
Ediciones Díaz De Santos, 2012. — 382 Seiten. — ISBN: 8499692117, 9788499692111 Spanisch: R no es solamente el programa estadístico de uso general más potente y versátil, además de ser totalmente gratuito, sino que es también el que tiene la mayor variedad y potencia de gráficos. Los gráficos son una forma de presentar la información de modo que pueda ser ade- cuadamente...
2nd ed. — CRC Press, 2011. — 535 p. — (Computer Science and Data Analysis) — ISBN: 1439831769, 9781439831762 Features • Comprehensive coverage of the core graphical packages used in R • New chapter on ggplot2 • New chapters on applications and extensions of R Graphics Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling...
2nd ed. — Wiley, 2015. — 432 p. — ISBN: 1119055806, 9781119055853 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, step–by–step...
Wiley, 2016. — 768 p. — ISBN: 1119152720 Integrates the theory and applications of statistics using R "A Course in Statistics with R" has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of...
Internet, 2016. — 200 p. — ASIN: B01D0PJMCI Who Else Wants to Learn from Data the Easy Way? Start building smarter models today using R! Master Learning from Data with this fun, practical, hands on guide. This book provides an accessible, hands on easy to follow guide to building machine learning models. It explains what learning from data is all about, why it should be part of...
Springer Spektrum, 2016. — 280 p. — ISBN: 9783662491010, 9783662491027 Dieses Buch liefert eine kompakte Einführung in die Datenauswertung mit der freien Statistikumgebung R. Ziel ist es dabei, einen Überblick über den Basisumfang von R zu schaffen und einen schnellen Einstieg in die deskriptive Datenauswertung sowie in die Umsetzung der wichtigsten statistischen Tests zu...
Springer, 2015. — 248 p. — (Use R!). — ISBN: 9783319234458 This book provides a narrative of how R can be useful in the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. It can serve as a textbook and reference manual for students and independent researchers who wish to use R for the first...
Leanpub, 2016. — 143 p. This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization.
Leanpub, 2016. — 262 p. 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. See the packages below to obtain datasets, R code files, and video lectures.
CreateSpace, 2014. — 394 p. — ISBN: 1490433546 Wish you had fresh ways to present data, explore relationships, visualize high volume data-sets and break free from mundane charts and diagrams? Visualizing complex relationships with ease using R begins here. In this book you will find innovative ideas to unlock the relationships in your own data and create killer visuals to help...
New York: Chapman & Hall/CRC, 2007. - 412 p. This book is an introduction to statistical computing and computational statistics. Computational statistics is a rapidly expanding area in statistical research and applications. It includes computationally intensive methods in statistics, such as Monte Carlo methods, bootstrap, MCMC, density estimation, nonparametric regression,...
2nd ed. — Chapman and Hall/CRC, 2014. — 514 p. — (The R Series). — ISBN: 1466590734, 9781466590731 The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second...
London: Riutledge, 2013. - 312 p. This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started. To alleviate that challenge, Professor Gerbing developed lessR. LessR extensions remove the need to program. By introducing R through less R, readers...
CRC Press, 2016. — 326 p. — (The R Series). — ISBN: 1482235226, 9781482235227 A How-To Guide for Conducting Common Fisheries-Related Analyses in R Introductory Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock assessment analyses in the R environment. Accessible to practicing fisheries scientists as well as advanced undergraduate and...
Hoboken: Wiley, 2014. - 439 p. 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...
CRC Press, 2015. — 252 p. — ISBN: 1498701272 The apparent contradiction between statistical significance and biological relevance has diminished the value of statistical methods as a whole in toxicology. Moreover, recommendations for statistical analysis are imprecise in most toxicological guidelines. Addressing these dilemmas, Statistics in Toxicology Using R explains the...
Hoboken: Wiley, 2014. - 344 p. Features a solid foundation of mathematical and computational tools to formulate and solve real-world PDE problems across various fields With a step-by-step approach to solving partial differential equations (PDEs), Differential Equation Analysis in Biomedical Science and Engineering: Partial Differential Equation Applications with R successfully...
Hoboken: John Wiley & Sons, 2014. - 304 p. The aim of this book is to provide an appreciation of the R tools available for optimization problems. Most users of R are not specialists in computation and the workings of the specialized tools are a black box. This can lead to mis-application, therefore users need help in making appropriate choices. This book looks at the principal...
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,...
Springer, 2009. — 220 p. — (Lecture Notes in Statistics). — ISBN: 0387859551, 9780387859552 Permutation testing for multivariate stochastic ordering and ANOVA designs is a fundamental issue in many scientific fields such as medicine, biology, pharmaceutical studies, engineering, economics, psychology, and social sciences. This book presents new advanced methods and related R...
Pearson Education, Inc., 2016. — 2063 p. — ISBN: 0672338483, 9780672338489 In just 24 lessons of one hour or less, Sams Teach Yourself R in 24 Hours helps you learn all the R skills you need to solve a wide spectrum of real-world data analysis problems. You’ll master the entire data analysis workflow, learning to build code that’s efficient, reproducible, and suitable for...
CRC Press, 2016. — 369 p. — ISBN: 1498736815, 9781498736817 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...
Syncfusion Inc., 2014. — 128 p. Begin developing your mastery of the powerful R programming language. Become comfortable with the R environment and learn how to find ways for R to fulfill your data needs. With author Barton Poulson as your guide, you will soon be making use of this flexible, unparalleled tool. Topics included: - Getting Started with R - Charts for One Variable...
Early Access Version . — New York: No Starch Press, 2016. — 256 p. R is the world's most popular programming language for data analysis and statistical modeling. The Book of R provides an in-depth, beginner-friendly guide to the R language, and teaches you how to use R for common statistical analyses. In The Book of R you'll learn key programming techniques, including how to...
2nd ed. — CRC Press, 2015. — 265 p. — (The R Series). — ISBN: 1498716962, 9781498716963, 9781498716970 Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and web pages to virtually...
Springer, 2015. — 373 p. — (Use R!). — ISBN: 3319240447, 9783319240442 Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest...
Rmetrics Association & Finance Online, Zurich, 2009. - 455 p. - ISBN: 978-3-90604-101-8. This is a book about portfolio optimization from the perspective of computational finance and financial engineering. Thus the main emphasis is to briefly introduce the concepts and to give the reader a set of powerful tools to solve the problems in the field of portfolio optimization. This...
Springer, 2015. — 238 p. — ISBN: 3319238825 Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the...
Springer, 2015. — 346 p. — ISBN: 3662467917 The aim of this book is to unlock the power of the freeware R language to advanced university students and researchers dealing with whole-rock geochemistry of (meta-) igneous rocks. The first part covers data input/output, calculation of commonly used indexes and plotting in R. The core of the book then focusses on the presentation...
Springer, 2015. — 252 p. — ISBN: 9783319214153, 9783319214160 This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used...
Springer, 2015. — 603 p. — (Springer Series in Statistics). — ISBN: 9781493928170, 9781493928187 This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modeling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models...
2nd ed. — Apress, 2015. — 337 p. — ISBN: 9781484203743 Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data...
CreateSpace Independent Publishing Platform, 2015. — 598 p. — ISBN: 151751679X, 9781517516796 This jam-packed book takes you under the hood with step by step instructions using the popular and free R predictive analytics package. It provides numerous examples, illustrations and exclusive use of real data to help you leverage the power of predictive analytics. A book for every...
Oxford: Oxford University Press, 2013. — XIV, 183 p. — ISBN 978–0–19–967113–7. Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point;...
Springer, 2015. — 411 p. — (Statistics for Biology and Health). — ISBN: 3319140922, 9783319140926 This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open-source, shareware program R , Professor Zelterman demonstrates the process and outcomes for a...
O’Reilly Media, 2015 2016 — 484 p. — ISBN: 1491922613, 9781491922613 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...
N.Y.: Wiley, 2015. — 308 p. Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio-temporal models used within the Bayesian...
Springer, 2015. — 211 p. — ISBN: 3319207016, 9783319207018 This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences....
CRC Press, 2013. — 350 p. — ISBN: 1439875405, 9781439875407 R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation, the book...
Lean Publishing, 2015. — 30 p. — ISBN: N/A This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science...
Packt Publishing, 2015. — 248 p. — ISBN: 1784396311, 9781784396312 With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction...
O’Reilly Media, 2015. — 65 p. — (Compliments of Microsoft). — ISBN: 9781491919590. Recently, Microsoft launched the Azure Machine Learning cloud platform — Azure ML. Azure ML provides an easy-to-use and powerful set of cloud-based data transformation and machine learning tools. This report covers the basics of manipulating data, as well as constructing and evaluating models in...
2nd Edition. — Manning Publications, 2015. — 608 p. — ISBN: 978-1617291388. 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 data-crunching or presentation challenge you’re likely to...
2nd Edition. — Manning Publications, 2015. — 608 p. — ISBN: 978-1617291388. 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 data-crunching or presentation challenge you’re likely to...
2nd Edition. — Manning Publications, 2015. — 608 p. — ISBN: 978-1617291388. 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 data-crunching or presentation challenge you’re likely 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...
O’Reilly Media, 2015. - 250 p. Complex relationships are often more easily grasped by looking at a picture, or a graph, than they might be if one tried to absorb the nuances in a verbal description or discern the relationships in columns of numbers. This book is about using graphical methods to understand complex data by highlighting important relationships and trends, reducing...
Australian National University, 2008. — 96 p. — ISBN: N/A These notes are designed to allow individuals who have a basic grounding in statistical methodology to work through examples that demonstrate the use of R for a range of types of data manipulation, graphical presentation and statistical analysis. Books that provide a more extended commentary on the methods illustrated in...
2nd ed. — CRC Press, 2012. — 1036 p. — ISBN: 1439809755, 9781439809754, EISBN: 9781439809761 Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy...
CRC Press, 2015 2016. — 325 p. — ISBN: 9781466568495 Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology,...
CRC Press, 2010. — 485 p. — ISBN: 1584880872, EISBN: 9781420010053 Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data...
CRC Press, 2015. — 224 p. — (The R Series). — ISBN: 1466568380, 9781466568389. EISBN: 9781466568396 The First Book to Explain How a User of R or MatLAB Can Benefit from the Other In today s increasingly interdisciplinary world, R and MatLAB(r) users from different backgrounds must often work together and share code. R and MatLAB(r) is designed for users who already know R or...
CRC Press, 2011. — 556 p. — (The R Series). — ISBN: 1420066501, 9781420066500. With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the...
O’Reilly, 2015. — 202 p. — ISBN: 1491910593, 9781491910597 Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of...
Routledge, 2015. — 340 p. — ISBN: 0415832446, 9780415832441 This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory,...
Packt Publishing, 2013. — 54 p. Jump into the R programming language and go beyond R is a versatile cross-platform environment with the power of a programming language and the flexibility of a scripting language. It is extremely powerful in manipulating and visualizing complex databases, performing statistical computations and producing any kind of plot with a very high...
N.-Y.: Leanpub, 2015. - 125 p. This book covers some of the basics of visualizing data in R and summarizing highdimensional data with statistical multivariate analysis techniques. There is less of an emphasis on formal statistical inference methods, as inference is typically not the focus of EDA. Rather, the goal is to show the data, summarize the evidence and identify...
N.-Y.: CRC Press, 2015. - 328 p. Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time...
2nd ed. — CRC Press, 2014. — 598 p. — ISBN: 9781439835807, 1439835802, 9781482205473, 9781482205480 An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples...
Oxford University Press, 2015. — 272 p. — ISBN: 0190228083, 9780190228088 There is a growing need for research within practice settings. Increasing competition for funding requires organizations to demonstrate that the funding they are seeking is going towards effective programming. Additionally, the evidence-based practice movement is generally pushing organizations towards...
CRC Press, 2015. — 315 p. — ISBN: 1466503963, 9781466503960 Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools....
CRC Press, 2014. — 598 p. — ISBN: 1439873380, EISBN: 9781439873397 Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable...
Chapman & Hall/CRC, 2013. - 500 p. A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms. It emphasizes recurring themes in all...
Chapman and Hall/CRC, 2014. — 375 p. — ISBN: 1466568321, 9781466568327 There is no shortage of incentives to study and reduce poverty in our societies. Poverty is studied in economics and political sciences, and population surveys are an important source of information about it. The design and analysis of such surveys is principally a statistical subject matter and the computer...
Chapman and Hall/CRC, 2014. — 554 p. — ISBN: 1466502258, 9781466502253 Describes the major statistical techniques for inferring model parameters, with a focus on the MLE and QMLE Introduces concepts of nonparametric statistics, including smoothing splines Covers HMM models, including Gaussian linear, switching Markovian, and nonlinear state space models Present direct...
Springer, 2015. — 350 p. — ISBN: 9783319140742, 9783319140759 This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement...
CRC Press, 2013. — 516 p. — ISBN: 1439847991, 9781439847992 A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent...
CRC Press, 2013. — 495 p. — ISBN: 143986084X, 9781439860847 Samatova N.F., Hendrix W., Jenkins J., Padmanabhan K., Chakraborty A. (Eds.) Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for...
2nd ed. — CRC Press, 2014. — 284 p. — ISBN: 1439887330, 9781439887332. 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 R, Second Edition explains how to use linear models...
Boca Raton: CRC Press Taylor & Francis, 2013. - 533 p. Analysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors...
Boca Raton: CRC Press, 2009. - 251 p. Basic data analysis R programming conventions Generation of random numbers and patterns Random numbers Patterns Case study: distribution diagnostics Distribution functions Histograms Barcharts Statistics of distribution functions; KolmogorovSmirnov tests Monte Carlo confidence bands Statistics of histograms and related plots; X2tests...
N.-Y.: Leanpub, 2015. - 132 p. 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...
N.Y.: Leanpub, 2015. — 132 p. Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto...
CRC Press, 2015. — 544 p. — (The R Series). — ISBN: 1482234815, 9781482234817 Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about...
Springer, 2015. — 109 p. — ISBN10: 813222339X This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up...
N.-Y.: Springer, 2015. - 454 p. This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from...
2nd Edition. — Wiley, 2015. — 384 p. — ISBN: 0471697559 Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying methodology...
Columbia University Press, 2014. — 248 p. — ISBN: 9780231166980, e-ISBN: 9780231537049 R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented...
Palgrave Macmillan, 2015. — 368 p. — ISBN: 1137354070, 9781137354075 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...
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...
CRC Press, 2015. — 280 p. — 2nd ed. — ISBN: 1482237369, 9781482237368 This is the second edition of the popular book on using R for statistical analysis and graphics. The authors, who run a popular blog supplementing their books, have focused on adding many new examples to this new edition. These examples are presented primarily in new chapters based on the following themes:...
N.Y.: Springer, 2015. — 172 p. We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open-source package library....
Springer, 2014. — 257 p. — ISBN: 3319037420, 9783319037424 This book guides animal ecologists, biologists and wildlife and data managers through a step-by-step procedure to build their own advanced software platforms to manage and process wildlife tracking data. This unique, problem-solving-oriented guide focuses on how to extract the most from GPS animal tracking data, while...
Wiley, 2008. — 664 p. — ISBN: 0471696935, 9780471696933 Now updated in a valuable new edition — this user–friendly book focuses on understanding the "why" of mathematical statistics Probability and Statistical Inference, Second Edition introduces key probability and statis–tical concepts through non–trivial, real–world examples and promotes the developmentof intuition rather...
Apress, 2014. — 264 p. — ISBN: 1484201310, 9781484201312 R Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly learn the fundamentals and explore the frontiers of programming, analyzing and using R. R...
Springer, 2002. — 270 p. — 2nd ed. — ISBN: 0387953981, 9780387953984 This is the User's Manual to the software package EnvironmentalStats for S-PLUS, which is an add-on module for S-PLUS providing the first comprehensive software package for environmental scientists, engineers, and regulators. The new edition provides the documentation for Version 2.0 (which runs under S-PLUS...
CRC Press, 2014. — 706 p. — 2nd ed. — ISBN: 1482256592 Get Up to Speed on Many Types of Adaptive Designs Since the publication of the first edition, there have been remarkable advances in the methodology and application of adaptive trials. Incorporating many of these new developments, Adaptive Design Theory and Implementation Using SAS and R, Second Edition offers a detailed...
Wiley, 2009. — 412 p. — ISBN: 0470050950, 9780470050958 An expert introduction to stage–wise adaptive designs in all areas of statistics Stage–Wise Adaptive Designs presents the theory and methodology of stage–wise adaptive design across various areas of study within the field of statistics, from sampling surveys and time series analysis to generalized linear models and...
Springer, 2014. — 267 p. 255 illus., 160 illus. in color. — ISBN: 1493917013, 9781493917020 R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud. With this information the reader can select...
O’Reilly Media, 2014. — 248 p. — ISBN: 1449359019, 9781449359010 Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. 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....
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...
Springer, 2014. — 188 p. — ISBN: 3319082620 The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts and methods can be addressed using the open-source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems...
Wiley, 2014 2015. — 720 p. — ISBN: 9781118332580 Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The...
CRC Press, 2012. — 236 p. — ISBN: 1439831645, 9781439831649 With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional...
Chapman, Hall/CRC, 2014. — 440 p. — (The R Series). — ISBN: 9781466561601 Science moves forward when discoveries are replicated and reproduced. In general, the more frequently a given relationship is observed by independent scientists, the more trust we have that such a relationship truly exists in nature. Replication, the practice of independently implementing scientific...
CRC Press, 2014. — 476 p. — 1466586966, 9781466586963. Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to...
CRC Press, 2014. — 272 p. — ISBN: 1482205475 Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of...
Wiley, 2013. — 520 p. — ISBN: 1118617908, 9781118617908 An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of...
Apress, 2014. — 244 p. — ISBN: 148420140X Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R...
Wiley, 2014 2015. — 476 p. — ISBN: 111883481X, 9781118834817. A hands on guide to web scraping and text mining for both beginners and experienced users of R. Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An...
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...
CRC Press, 2014. — 216 p. — ISBN: 1482203537, 9781482203530 The cut-and-paste approach to writing statistical reports is not only tedious and laborious, but also can be harmful to scientific research, because it is inconvenient to reproduce the results. Dynamic Documents with R and knitr introduces a new approach via dynamic documents, i.e. integrating computing directly with...
CRC Pres, 2013. — 294 p. — ISBN: 1466572841, 9781466572843 Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data analysis, and the...
CRC Pres, 2014. — 287 p. — ISBN: 1439873437, 9781439873434 A Practical Guide to Implementing Nonparametric and Rank-Based Procedures. Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated...
CRC Press, 2014. — 254 p. — ISBN: 1439890471, 9781439890479 Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates information on existing R...
3rd ed. — CRC Press, 2014. — 438 p. — ISBN: 1439861420, 9781439861424, e-ISBN: 9781439861431. Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as...
CRC Press, 2014. — 374 p. — ISBN: 1466565721 Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative, and affective approaches, the book...
N.-Y.: Springer, 2014. - 349 p. 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...
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 Linux...
Wiley, 2014. — 336 p. — 2nd ed. — ISBN: 1118941098, 9781118941096 A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R. This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range...
Springer, 2014. — 194 p. — (Quantitative Methods in the Humanities and Social Sciences). — ISBN: 978-3-319-03163-7, e-ISBN: 978-3-319-03164-4. Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological tool kit to include...
CRC Press, 2012. — 299 p. — ISBN: 1439862060, 1606238744 Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this...
Wiley, 2011. — 434 p. — ISBN: 1118029852, 9781118029855 Quality: Electronic edition. Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an...
N.-Y.: Wiley, 2011. - 240 p. A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully...
N.-Y.: Wiley, 2012. - 416 p. 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...
Wiley, 2013. — 416 p. — ISBN: 0470890819, 9780470890813 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,...
New York: Chapman and Hall/CRC, 2014. — 656 p. — ISBN: 978-1-4665-9260-5 A Hands-On Approach to Understanding and Using Actuarial Models. Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more...
Second Edition. — N.-Y.: Chapman and Hall/CRC, 2014. — 468 p. An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second...
Chapman and Hall/CRC, 2014. — 206 p. — (The R Series). — ISBN: 9781466565227 A data graphic is not only a static image, but it also tells a story about the data. It activates cognitive processes that are able to detect patterns and discover information not readily available with the raw data. This is particularly true for time series, spatial, and space-time datasets. Focusing...
CRC Press, 2014. — 352 p. — (Statistics for the Social and Behavioral Sciences Series). — ISBN: 1466517158, 9781466517165 Modern Methods for Evaluating Your Social Science Data With recent advances in computing power and the widespread availability of political choice data, such as legislative roll call and public opinion survey data, the empirical estimation of spatial models...
National Marine Mammal Laboratory Alaska Fisheries Science Center, 2013. — 25 p. — ISBN: N/A Rmark provides a formula-based interface for analysis of capture-recapture data with the program MARK. Rmark reduces the development time of models and removes the potential for errors introduced from manual creation of design matrices in MARK. By providing an interface to MARK in R,...
CRC Press, 2014. — 226 p. — ISBN: 1466515856, 9781466515857 A powerful tool for analyzing nested designs in a variety of fields, multilevel/hierarchical modeling allows researchers to account for data collected at multiple levels. Multilevel Modeling Using R provides you with a helpful guide to conducting multilevel data modeling using the R software environment. After...
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...
Wiley, 2014. — 240 p. — ISBN: 1119952379, 9781119952374 A novel presentation of rank and permutation tests, with accessible guidance to applications in R. Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in...
2nd ed. — Wiley, 2014. — 592 p. — ISBN: 1118456068, 9781118456064. Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis,...
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...
Wiley, 2014. — 576 p. — ISBN: 1118391411, 9781118391419. An essential library of basic commands you can copy and paste into R. The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and...
Wiley, 2014. — 576 p. — ISBN: 1118391411, 9781118391419. An essential library of basic commands you can copy and paste into R. The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and...
Chapman and Hall/CRC, 2014. — 352 p. — ISBN: 143988448X, 9781439884485 Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems...
Birkhauser Boston Inc., 2014. — 315 p. — ISBN: 0817648100, 9780817648107 The focus of this book is on models for contingency table analysis. It deals mainly with log-linear models and special models for ordinal data (log-linear or nonlinear). Special models for ordinal data are dealt with to a greater extent, covered in Chaps. 6, 7, and 9. These models, as for example,...
Atlantis Press, 2014. — 301 p. — (Atlantis Studies in Computational Finance and Financial Engineering). — ISBN: 946239069X, 9789462390690 The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic...
Springer, 2014. — 214 p. 55 illus., 53 illus. in color. — ISBN: 1493909827, 9781493909827 Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going...
Apress, 2014. — 209 p. — ISBN: 9781430266402 The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language. Not only is R a free, open-source tool, R is powerful, flexible, and has state of the art statistical techniques available. With the many details which must be correct when using any language, however, the R Quick Syntax Reference...
Wiley, 2013. — 754 p. — 2nd ed. — ISBN: 1118091574, 9781118091579 Praise for the First Edition This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library. — Journal of the American Statistical Association. Mixed modeling is a crucial area of statistics, enabling the analysis of...
Manning, 2014. — 416 p. — ISBN: 1617291560, 9781617291562 Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis...
Routledge, 2014. — 218 p. — ISBN: 1848726996, 9781848726994 This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples...
Cambridge University Press, 2014. — 272 p. — ISBN: 9781107029279 Interest in the skew-normal and related families of distributions has grown enormously over recent years, as theory has advanced, challenges of data have grown, and computational tools have made substantial progress. This comprehensive treatment, blending theory and practice, will be the standard resource for...
CRC Press, 2014. — 188 p. — ISBN: 9781466584334 This book is intended to be a practical, easy-to-understand guide to carrying out growth curve analysis (multilevel regression) of time course or longitudinal data in the behavioral sciences, particularly cognitive science, cognitive neuroscience, and psychology. Multilevel regression is becoming a more and more prominent...
Springer, 2014. — 628 p. 50 illus., 41 illus. in color. — (Statistics and Computing). — ISBN: 1461490197, 9781461490197 The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a...
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...
Wiley, 2014. — 518 p. — ISBN: 9781118241257 An introduction to probability at the undergraduate level Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability. With real-life examples...
Patrick J. Burns, 1998. — 439 p. Five great strengths of S are its variety of objects, its vector orientation, the power of subscripting, object-oriented programming and graphics. Each of these is explored before turning to other matters. A powerful and fairly unique part of S that will be addressed in later chapters is the possibility of computing on the language. Essentially...
Oldenbourg Wissenschaftsverlag, 2013. — 357 s. — ISBN10: 3486717014, ISBN13: 978-3486717013. Das Buch vereinigt die zahlreichen Ansätze zur Erklärung einer Menge von Variablen mittels einer anderen Variablenmenge. Die Ansätze werden in ihren Grundstrukturen dargestellt. Die Beschränkung darauf ist notwendig, gibt es doch zu jeder der vorgestellten Methoden eigene Monographien....
Springer, 2014. — 165 p. — ISBN: 3319025317. Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open-source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical...
Springer, 2014. — 685 p. — ISBN10: 1461478995, ISBN13: 978-1461478997. Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays. The XML and JSON data formats are widely used in Web services, regular Web pages and JavaScript code, and visualization formats such as SVG and KML for...
Academic Press is an imprint of Elsevier. 2013. — 470 p. ISBN: 012411511X Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different...
Addison-Wesley, 2013. — 464 p. — ISBN10: 0-321-88803-0, ISBN13: 978-0-321-88803-7. 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...
Pearson Education, Inc. 2014. — 464 p. ISBN: 0321888030 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 R books assume far too...
University College Cork – 2013. — Release 0.2 — 75 p. This little booklet has some information on how to use R for time series analysis. R (www.r-project.org) is a commonly used free Statistics software. R allows you to carry out statistical analyses in an interactive mode, as well as allowing simple programming. How to install R Introduction to R Installing R Installing R...
University College Cork, 2013. — Release 0.2 — 35 p. This little booklet has some information on how to use R for biomedical statistics. R (www.r-project.org) is a commonly used free Statistics software. R allows you to carry out statistical analyses in an interactive mode, as well as allowing simple programming. How to install R Introduction to R Installing R Installing R...
University of Twente, 2013. — 256 p. This tutorial introduces the R environment for statistical computing and visualisation and its dialect of the S language. It is organized as a systematic analysis of a simple dataset: the Mercer & Hall wheat yield uniformity trial (Appendix A). After completing the tutorial you should: know the basics of the R environment; be able to use R...
University of Twente, 2012. — 141 p. R is an open-source environment for statistical computing and visualisation. It is based on the S language developed at Bell Laboratories in the 1980’s, and is the product of an active movement among statisticians for a powerful, programmable, portable, and open computing en- vironment, applicable to the most complex and sophsticated...
Pact Publishing, 2013. — 345 p. — ISBN: 1849519447, 9781849519441 The open-source software R is fast becoming one of the preferred companions of Statistics even as the subject continues to add many friends in Machine Learning, Data Mining, and so on among its already rich scientific network. The era of mathematical theory and statistical applications embeddedness is truly a...
Springer, 2013. — 172 p. — ISBN: 978-1-4614-6445-7, e-ISBN: 978-1-4614-6446-4. Bayesian Networks in R: with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased...
Springer, 2013. — 453 p. 80 illus., 66 illus. in color — 2nd ed. — ISBN: 3642347487, 9783642347498 This greatly expanded 2nd edition provides a practical introduction to: data processing with Linux tools and the programming languages AWK and Perl data management with the relational database system MySQL, and data analysis and visualization with the statistical computing...
Wiley, 2011. — 477 p. — ISBN: 9780470699782, 9780470699799 Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised...
Springer, 2012. — 202 p. 100 illus., 63 illus. in color — ISBN: 9781461404064 Series: Use R! The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision making are plentiful and increasing on a daily basis. This book...
CRC Press, 2010. — 302 p. — ISBN: 9781420070576 Provides a path between languages that is easier than reading complete documentation. SAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software...
CRC Press, 2012. — 433 p. — ISBN: 1466504250 Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical...
Published by O’Reilly Media, Inc., 2013. — 400 p. ISBN: 1449357105 Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The...
Academic Press, 2013. — 232 p. — ISBN: 0123969638, 9780123969637 R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data....
CRC Press, 2011. — 264 p. — ISBN: 1439817669, 9781439817667 While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the...
Chapman, 2012. — 273 p. — ISBN: 1439872864, 9781439872864 In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint Models for Longitudinal...
CRC Press is an imprint of Taylor & Francis Group, an Informa business. 2011 - 304 p. ISBN: 1439813264. Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal...
Springer, 2013. — 95 p. 42 illus., 17 illus. in color — ISBN: 1447149491, 9781447149507 This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature...
Wiley, 2013. — 388 p. — ISBN: 1118357728, 9781118357729 A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book...
Springer, 2012. — 284 p. — ISBN: 3642240062, 9783642240065 This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this data. It is intended for biostatisticians and bioinformaticians in...
Springer, 2013. — 178 p. 76 illus — ISBN: 364232083X, 9783642320842 The book presents the application of statistical methods to climatological data on temperature and precipitation. It provides specific techniques for treating series of yearly, monthly and daily records. The results’ potential relevance in the climate context is discussed. The methodical tools are taken from...
Springer, 2013. — 108 p. — ISBN: 1461445833, 9781461445845 Series: SpringerBriefs in Political Science Social science theory often builds on sets and their relations. Correlation-based methods of scientific enquiry, however, use linear algebra and are unsuited to analyzing set relations. The development of Qualitative Comparative Analysis (QCA) by Charles Ragin has given social...
Springer, 2012. — 126 p. 55 illus., 28 illus. in color — ISBN: 1461454522, 9781461454533 Series: SpringerBriefs in Statistics, Vol. 14 The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These...
Chapman and Hall/CRC, 2013. — 335 p. — ISBN: 1466505990, 9781466505995 CRC Biostatistics Series (Book 59) In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement...
Wiley, 2011. — 556 p. — ISBN: 047097124X, 9780470971246 Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not...
Taylor and Francis Group, LLC. 2011. - 202 p. Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. After giving examples of multiplicity problems, the book covers...
Oxford University Press, 2012. — 160 p. — ISBN: 0199601615, 0199601623, 9780199601615 Learning how to get answers from data is an integral part of modern training in the natural, physical, social, and engineering sciences. One of the most exciting changes in data management and analysis during the last decade has been the growth of open-source software. The open-source...
CRC Press, 2013. — 245 p. — ISBN: 1439858020, 9781439858028 Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model...
Australian National University, 2001. — 112 p. R implements a dialect of the S language that was developed at AT&T Bell Laboratories by Rick Becker, John Chambers and Allan Wilks. Versions of R are available, at no cost, for 32-bit versions of Microsoft Windows for Linux, for Unix and for Macintosh systems 8.6 or later. It is available through the Comprehensive R Archive...
Springer, 2013. — 600 p. — 203 illus., 153 illus. in color — ISBN: 1461468485, 9781461468493 This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of...
CRC Press, 2011. — 340 p. — ISBN: 1439816972, 9781439816974 Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for...
Wiley, 2012. — 347 p. — ISBN: 0470922257, 9780470922255 Provides the tools needed to successfully perform adaptive tests across a broad range of datasets. Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data. The book...
Wiley, 2012. — 509 p. — ISBN: 0470971282, 9780470971284. Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic...
Wiley, 2012. — 272 p. — ISBN: 111802639X, 9781118026397 Introduces the graphical capabilities of R to readers new to the software Due to its flexibility and availability, R has become the computing software of choice for statistical computing and generating graphics across various fields of research. Guidebook to R Graphics Using Microsoft Windows offers a unique presentation...
Springer, 2013. — 195 p. — ISBN: 1447153278, 9781447153276 When encountering difficult concepts in computer programming for the first time, many students struggle to find simple explanations in their textbooks. Information can also be hard to find on common mistakes made when implementing algorithms and writing programs. This concise and easy-to-follow textbook/guide provides a...
Wiley, 2013. – 362 p. – ISBN: 111844714X, 9781118447147 Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open-source software R for the analysis, exploration, and simplification of large high–dimensional data sets....
CRC Press, 2011. – 200 p. – ISBN: 1420091514, 9781420091519 As clinicians begin to realize the important role of dose-finding in the drug development process, there is an increasing openness to "novel" methods proposed in the past two decades. In particular, the Continual Reassessment Method (CRM) and its variations have drawn much attention in the medical community, though it...
Springer, 2013. – 235 p. 7 illus., 4 illus. in color. – ISBN: 1461468671, 9781461468677 Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's...
Wiley, 2013. – 216 p. – 2nd ed. – ISBN: 1118428218 A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see...it would make a good nightstand book for every statistician."—Technometrics Written in a highly accessible style,...
Academic Press, 2012. – 689 p. – 3rd ed. – ISBN: 0123869838, 9780123869838 Statistical Modeling and Decision Science This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic...
A John Wiley & Sons, 2013. - 1076 p. 2 edition ISBN10: 0470973927 Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help...
Rmetrics Association & Finance Online, 2010. – 219 p. – ISBN: N/A Tinn-R provides not only an R-aware editor and submission process to the system, but a comprehensive project management system as well, including editing facilities for many types of file other than R scripts. Although most users would begin using it as a script editor for R alone, as they become familiar with...
ETH Zürich, 2003. – 119 p. – ISBN: N/A This script collects material used in lecture Econophysics held in SS 2003 and in former lectures at the Insitute of Theoretical Physics of ETH Zürich. Markets, Basic Statistics, Date and Time Economic and Financial Markets Distribution Functions in Finance Searching for Structures and Dependencies Probability Theory and Hypothesis Testing...
Rmetrics Association & Finance Online, 2010. – 312 p. – ISBN: N/A This book is divided into two several thematically distinct parts: the first four parts give an introduction to R, and focus on the following topics: computions, programming, plotting and statistics and inference. Parts five, six, svem and eight contain a collection of case studies from topics such as utility...
Chapman and Hall/CRC, 1997. – 444 p. – ISBN: 0412040611, 9780412040610 The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical...
University of Plymouth, 2009. – 189 p. – ISBN: N/A The objective of Multivariate Statistics with R is to cover a basic core of multivariate material in such a way that the core mathematical principles are covered, and to provide access to current applications and developments. The author notes that numerous multivariate statistics books, but this book emphasises the...
Website. – 114 p. – ISBN: N/A The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it...
Princeton University. – 68 p. – ISBN: N/A The Undergraduate Guide to R is an introduction to the R programming language for beginners. After reading this book, you will be able to perform most common data manipulating, analyzing, comparing and viewing tasks with R. The book also provides the necessary foundation blocks to enable the reader to progress to more advanced R...
2004. – 47 p. – ISBN: N/A This introduction to the freely available statistical software package R is primarily intended for people already familiar with common statistical concepts. Thus the statistical methods used to illustrate the package are not explained in detail. These notes are not meant to be a reference manual, but rather a hands-on introduction for statisticians who...
Lulu, 2013. – 542 p. – ISBN: 5800090850531 R is the world’s most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. This book takes you on a guided...
Bodo Winter, 2013. – 21 p. – ISBN: N/A Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce you to these models. The tutorials are decidedly conceptual and omit a lot of the more involved mathematical stuff. The focus is on understanding what these models are...
Springer, 2013. – 566 p. – ISBN: 1461448174, 9781461448174 This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is...
Springer, 2013. – 556 p. – ISBN: 1461438993, 9781461439004 Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wide range of uses for...
Center for Social Research Univercity of Notre Dame, 2013. – 42 p. – ISBN: N/A The purpose of this document is to provide a conceptual introduction to statistical or machine learning (ML) techniques for those that might not normally be exposed to such approaches during their required typical statistical training. Machine learning can be described as a form of a statistics,...
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...
Portions, 2013. – 183 p. – ISBN: N/A This book is distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 license. You are free to copy, distribute, and transmit this work. You are free to add or adapt the work. You must attribute the work to the author(s) listed above. You may not use this work or derivative works for commercial purposes. If you alter,...
University of Cambridge, Statistical Laboratory, 2012. – 114 p. – ISBN: N/A These worksheets may be used for any educational purpose provided their authorship (P.M.E.Altham) is acknowledged. Getting started: books and 2 tiny examples Ways of reading in data, tables, text, matrices. Linear regression and basic plotting A Fun example showing you some plotting and regression...
The Hebrew University, 2011. – 324 p. – ISBN: N/A The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motiva- tion to learn more. It is assumed that the students do have basic skills in using computers and have access to one. Moreover, it is assumed that the students are willing...
Center for Social Research University of Notre Dame, 2013. – 29 p. – ISBN: N/A The goal of this tutorial and associated short course is fairly straightforward- I wish to introduce the program well enough for one to understand some basics and feel comfortable trying things on their own. In this light the focus will be on some typical applications (colored by a social science...
Chapman and Hall/CRC, 1997. – 620 p. – ISBN: 0412053012, 0412052911, 9780412053016 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 research...
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...
Stockholm University, 2009. – 33 p. – ISBN: N/A. This is a brief manual for beginners in Econometrics. About R. About these pages. Objects and Files. First things . Installation. Working with R. Naming in R. Saving and loading objects and images of working spaces. Overall options. Getting Help. Elementary commands . Data management . Reading data in plain text format....
Grant V. Farnsworth, 2008. – 50 p. – ISBN: N/A R is much more more flexible than most software used by econometricians because it is a modern mathematical programming language, not just a program that does regressions and tests. This means our analysis need not be restricted to the functions included in the default package. There is an extensive and constantly expanding...
Elsevier, 2013. — 160 p. This book presents examples and case studies on how to use R for data mining applications. This chapter introduces some basic concepts and techniques for data mining, including a data mining procedure and popular data mining techniques, such as clustering, classi cation and association rules. It also presents R and its packages, functions and task views...
Emmanuel Paradis, 2002. – 58 p. – ISBN: N/A The goal of the present document is to give a starting point for people newly interested in R. I chose to emphasize on the understanding of how R works, with the aim of a current rather than expert use. Given that the possibilities offered by R are vast, it is useful to a beginner to get some notions and concepts in order to progress...
Foster School of Business, University of Washington, 2011. – 29 p. – ISBN: N/A This tutorial examines three factor models: the Fama-French factor model, a BARRA-type industry factor model and a PCA factor model. I discuss the mathematical aspects of each model and provide an R implementation, which I then use to construct minimum-variance weighted portfolios for each model. The...
Packt Publishing – 2012, 126 p. ISBN: 1782160604 , 9781782160601 Learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE Overview A complete practical tutorial for RStudio, designed keeping in mind the needs of analysts and R developers alike. Step-by-step examples that apply the principles of reproducible research and good...
Meys J., de Vries A. R for Dummies Wiley – 2012, 406 p. 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 for even...
Cambridge University Press – 2012, 494 p. ISBN: 052176727X, 9780521767279 Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from mega datasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique...
O’Reilly Media – 2013, 416 p. ISBN: 1449316956, 9781449316952 This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe...
Oxford University Press – 1998, 461 p. ISBN: 0195120256, 9780195120257 Statistical analysis typically involves applying theoretically generated techniques to the description and interpretation of collected data. In this text, theory, application and interpretation are combined to present the entire biostatistical process for a series of elementary and intermediate analytic...
Springer, 2012. — 374 p. — (Series "Use R!"). — ISBN: 1461413648, 9781461413653. R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a...
Apress – 2012, 336 p. ISBN: 1430245549, 9781430245544 Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has...
O’Reilly Media – 2012, 724 p., 2nd Edition ISBN: 144931208X, 9781449312084 If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open-source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize,...
University College Cork – 2011, Release 0.1, 37 p. This is a simple introduction to Biomedical Statistics using the R statistics software. How to install R Introduction to R Installing R Installing R packages Running R A brief introduction to R Links and Further Reading Contact License Using R for Biomedical Statistics Biomedical statistics Calculating Relative Risks for a...
University College Cork – 2011, Release 0.1, 53 p. This is a simple introduction to multivariate analysis using the R statistics software. How to install R Introduction to R Installing R Installing R packages Running R A brief introduction to R Links and Further Reading Contact License Using R for Multivariate Analysis Multivariate Analysis Reading Multivariate Analysis Data...
University College Cork – 2011, Release 0.1, 75 p. This is a simple introduction to time series analysis using the R statistics software. How to install R Introduction to R Installing R Installing R packages Running R A brief introduction to R Links and Further Reading Contact License Using R for Time Series Analysis Time Series Analysis Reading Time Series Data Plotting Time...
Springer – 2012, 247 p. ISBN: 940072411X, 9789400724112 Through analysis of the European Union Emissions Trading Scheme (EU ETS) and the Clean Development Mechanism (CDM), this book demonstrates how to use a variety of econometric techniques to analyze the evolving and expanding carbon markets sphere, techniques that can be extrapolated to the worldwide marketplace. It features...
Chapman and Hall/CRC, 2012. — 479 p. — ISBN: 1439856826, 9781439856826. Programming Graphical User Interfaces with R introduces each of the major R packages for GUI programming: RGtk2, qtbase, Tcl/Tk, and gWidgets. With examples woven through the text as well as stand-alone demonstrations of simple yet reasonably complete applications, the book features topics especially...
Chapman & Hall/CRC, 2010. - 572 p. ISBN: 1584887206 The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models involves complex data structures and is often described as a revolutionary development. An intermediate-level treatment of Bayesian hierarchical models and their applications, Applied Bayesian Hierarchical Methods demonstrates the advantages...
Springer – 2011, 272 p. ISBN: 2817801806, 9782817801803 Les techniques informatiques de simulation sont essentielles au statisticien. Afin que celui-ci puisse les utiliser en vue de résoudre des problèmes statistiques, il lui faut au préalable développer son intuition et sa capacité à produire lui-même des modèles de simulation. Ce livre adopte donc le point de vue du...
Institute of Transportation Engineers – 2010, 145 p. The R statistical package can best be thought of, in terms of user interface, as falling some-where in-between SAS and Limdep. Like SAS, R accomplishes different tasks using different procedures. Instead of the procedures being self-contained (like PROC REG in SAS), commands are issued one at a time, like Limdep. However,...
CRC Press – 2009, 355 p. ISBN: 142006973X, 9781420069730 Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R shows how combinatorial pattern matching algorithms can solve computational biology problems that arise in the analysis of genomic,...
Chapman and Hall/CRC – 2001, 256 p. 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...
Psychology Press – 2001, 384 p. ISBN: 0805836233, 9780805836233 Written as a supplemental text for an introductory or intermediate statistics course, this book is organized along the lines of many popular statistics texts. The chapters provide a good conceptual understanding of basic statistics and include exercises that use S-PLUS simulation programs. Each chapter lists a set...
Wrox – 2012, 504 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 context....
Springer – 2012, 536 s. ISBN: 3642257992, 9783642257995 Dieses Buch liefert eine anwendungsorientierte Einführung in die statistische Datenauswertung mit der freien Statistikumgebung R. Es behandelt deskriptive Auswertungen ebenso wie inferenzstatistische Analysen. Neben den klassischen univariaten Verfahren berücksichtigt es auch zahlreiche nonparametrische und multivariate...
Wiley – 2005, 565 p. 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...
Springer – 2012, 315 p. ISBN: 1461431212 This monograph is a four-fold featuring of adaptive analysis. First is data distillation and comparative coupling whereby the results of one analysis are fed forward into another analysis without necessarily returning directly to the original data matrix, and analytical avenues usually seen as alternatives are pursued in parallel with...
John Wiley & Sons – 2010, 343 p. ISBN: 047047565X Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make...
Wiley – 2010, 496 p. ISBN: 0470454636 Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition continues to provide a clear introduction to the theoretical foundations and key applications of generalized linear models (GLMs). Maintaining the same nontechnical approach as its predecessor, this update has been thoroughly extended to include the...
Chapman & Hall/CRC – 2008, 256 p. ISBN: 1420067273 Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the...
Springer – 2010, 323 p. ISBN: 1441907416 This book presents a thorough treatment and unified coverage of Bayesian item response modeling with applications in a variety of disciplines, including education, medicine, psychology, and sociology. Breakthroughs in computing technology have made the Bayesian approach particularly useful for many response modeling problems. Free from...
Chapman & Hall – 2010, 424 p. ISBN: 1420061178 Design Principles and Analysis Techniques for HRQoL Clinical TrialsSAS, R, and SPSS examples realistically show how to implement methods Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in enough detail so that readers can apply...
Wiley – 2011, 704 p. ISBN: 0470688297, 9780470688298 Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to...
SAGE – 2009, 216 p. ISBN: 1847879020, 1847879039 Statistics is the language of modern empirical social and behavioral science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. Techniques covered in this book include...
Springer – 2012, 256 p. ISBN: 1461412374. For behavioral research practitioners who are interested in learning R. Provides practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples. Emphasizes practical data analytic skills. This book is written for behavioral scientists who want to consider adding R to...
R – 2006, 40 p. This is a very brief introduction to R via a series of examples which are relevant to actuarial work. These examples are aimed at R newbies so: only a small fraction of R’s capabilities are examined in these examples. there are many ways of achieving the same objective in R. These examples often only consider a single approach and for educational purposes may...
Wiley – 2009, 642 p. ISBN: 0470290889 An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data Smoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation, emphasizing the use of visualization tools. Rather than outlining the theoretical concepts of...
Wiley – 2011, 331 p. ISBN: 0470621699. A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research. Computing has become an essential part of the day-to-day practice of statistical work, broadening the types of questions that can now be addressed by research scientists applying newly derived data analytic techniques....
CRC Press – 2011, 365 p. ISBN10: 1439873658 Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. For those...
Wiley – 2011, 366 p. ISBN: 0470094826 This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable...
Springer – 2012, 186 p. ISBN: 1461422981 Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken...
Chapman and Hall/CRC – 2006, 397 p. ISBN: 1584884746 Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment of...
Springer – 2007, 258 p. ISBN: 0387389792 This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian...
Oja H. Multivariate Nonparametric Methods with R: An Approach Based on Spatial Signs and Ranks Springer – 2010, 232 p. ISBN: 1441904670 This book introduces a new way to analyze multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate normality:...
Oxford University Press - 2009, 192 p. You have successfully designed your first experiment, run the subjects, and you are faced with a mountain of data. What’s next? Does computing an analysis of variance by hand suddenly appear mysteriously attractive? Granted, writing an [R] program and actually getting it to run may appear to be quite an intimidating task for the novice,...
Springer – 2012, 368 p. ISBN: 146141301X Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for...
Cambridge University Press – 2004, 354 p. ISBN10: 0521837413 Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by quantities that vary over time: stochastic processes are designed to study them. Much theoretical work has been done but virtually no modern books are available to show how the results can be applied....
Springer - 2005, 464 p. ISBN: 0387261095 This book explains the basics of S-PLUS in a clear style at a level suitable for people with little computing or statistical knowledge. Unlike the manuals, it is not comprehensive, but instead introduces the most important ideas of S-PLUS and R, its companion in implementing the S language.The authors take the reader on a journey into...
Wiley – 2006, 376 p. ISBN10: 0470014962 Mixed modeling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition of random effects. However, many perceive mixed modeling as an intimidating and specialized technique. This book introduces mixed modeling analysis in a simple and straightforward...
70 p. R is GNU S. R is a re-implementation of S. The two languages are superficially similar languages, but do not have identical underpinnings. (One big difference is in scoping rules). Furthermore, there are some packages (libraries) for certain statistical analyses written only for R (or S), and due to the differences between the two languages, the package runs error-free...
History of Programs Why shouldn’t I use R/S/S-Plus? Why should I use R/S/S-Plus? Which software package should I get and where do I get it? Where do I obtain more info on using R? How does R work? What do I need to know to get started? I can’t always see my data, how do I know what it looks like? Ok, but I need to know how to get my data into R. How can I do this? How do I get...
Springer20111009 p.2nd ed This book is a guide to analyzing and modeling financial time series using S-PLUS and S+FinMetrics. It is a unique blend of econometric theory, fi- nancial models, data analysis, and statistical programming. It serves as a user’s guide for Insightful’s S+FinMetrics module of statistical functions for financial time series analysis and financial...
232 p. This is a detailed set of notes for a workshop on Analysing spatial point patterns in R, presented by the author in Australia and New Zealand since 2006. The goal of the workshop is to equip researchers with a range of practical techniques for the statistical analysis of spatial point patterns. Some of the techniques are well established in the applications literature,...
Publisher: SpringerISBN: 14614213302011149 p. | In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test...
Publisher: Wiley2010ISBN10: 0470583622316 p. A new edition of the comprehensive, hands-on guide to financial time series, now featuring S-Plus and R software. Time Series: Applications to Finance with R and S-Plus, Second Edition is designed to present an in-depth introduction to the conceptual underpinnings and modern ideas of time series analysis. Utilizing interesting,...
Chapman and Hall/CRC; 1 edition2009ISBN: 1584889470351 p. This text explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. It includes amusing anecdotes and trivia, such as Ambrose Bierce’s definition of insurance. The text introduces basic concepts of inference through a...
2011ISBN: 978-1-4614-2034-7245 p. This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are...
225 p. This manuscript has been partitioned into four separate sections. The first section introduces R as a language and a tool and covers some basic topics that are required to get one going. The next section contains eleven chapters that target some particular aspect of biological inquiry from the perspective of the kind of data that will be analyzed. The third section...
This tutorial offers a first introduction into R, which is an improved and freeware version of S. For most tasks, the freeware R and its commercial cousin S-Plus work in the same way and produce similar results. Most of the ideas in this tutorial apply to both R and S-Plus, although this document focuses on R in the interest of clarity. This tutorial assumes that R is already...
R is an implementation of the S language that was originally developed by J. M. Chambers at AT&T’s Bell Laboratories. The original S is licensed to the Insightful Corporation which sells an enhanced version called S-PLUS. S-PLUS is rather expensive and really not that much better than the the freely (GNU) available R so why not use R? Many of the examples in this introductory...
There are three main kinds of statistics program available at UEA. The are SPSS - a program supported by the ITSC. It was designed to support the kinds of data analysis that you might meed in the social sciences. It is _ne for routine analysis. Stata - a complete, integrated statistical package which is popular amongst medics. R which is (almost) a free clone of Splus, a...
538 p. This book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. Over 170 figures are included in the book. Linear Mixed-Effects Theory and Computational Methods for LME Models Structure of Grouped Data Fitting LME Models Extending...
ISBN: 1584885289Издательство: Chapman and Hall/CRC2005Страницы: 256 Developed by Jean-Paul Benzérci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application...
Publisher: Chapman and Hall/C.R.C. |1991ISBN: 0412053012, 0412052911608 p. | 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 research...
Publisher: O’Reilly Media 2011122 p.ISBN: 1449309925 | It’s tough to argue with R as a high-quality, cross-platform, open-source statistical software product — unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You’ll learn the basics of Snow, Multicore, Parallel, and some...
Journal of Statistical Software. August 2009, Volume 31, Issue 1. + 5 appendices. R is a mature open-source programming language for statistical computing and graphics. Many areas of statistical research are experiencing rapid growth in the size of data sets. Methodological advances drive increased use of simulations. A common approach is to use parallel computing. This paper...
Publisher: O’Reilly Media 2011122 p.ISBN: 1449309925 | It’s tough to argue with R as a high-quality, cross-platform, open-source statistical software product — unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You’ll learn the basics of Snow, Multicore, Parallel, and some...
Functional integration in the brain refers to distributed interactions among functionally segregated regions. Investigation of effective connectivity in brain networks, i.e, the directed causal influence that one brain region exerts over another region, is being increasingly recognized as an important tool for understanding brain function in neuroimaging studies. Methods for...
Version 0.20Date 2011-04-15 The package contains methods to support frontier analysis. It covers Data Envelopment Analysis (DEA). DEA is supported under different technology assumptions (fdh, vrs, drs, crs,irs, add/frh, and fdh+), and usingdifferent efficiency measures (input based, output based, hyperbolic graph,additive, super, and directional efficency). Peers and slacks are...
Springer, 2011. -351. ISBN: 1441979611, 9781441979612 This book covers recent advances in efficiency evaluation, most notably the Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses some applications. The aim is to make the reader aware of the pros and...
Springer, 2000. — 402 p. — 2nd ed. — ISBN: 0387989617 S-PLUS, the highly popular statistical software program, is a powerful tool for interactive data analysis, creating graphs, and implementing customized routines. This book explains the basics of S-PLUS in a clear style at a level suitable for those with little computing or statistical knowledge. This second edition of a...
S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS(R) and the Open-source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It is intended for readers who have some...
ISBN10: 0387985034ISBN13: 978-0387985039Publication Date: 1998 |469 p. Here is a thorough and authoritative guide to the latest version of the S language and its programming environment. Programming With Data describes a new and greatly extended version of S, written by the chief designer of the language itself. It is a guide to the complete programming process, starting from...
Mokken scale analysis (MSA) is a scaling procedure for both dichotomous and polytomous items. It consists of an item selection algorithm to partition a set of items into Mokken scales and several methods to check the assumptions of two nonparametric item response theory models: the monotone homogeneity model and the double monotonicity model. First, we present an R package...
Item response theory (IRT) models are a class of statistical models used by researchers to describe the response behaviors of individuals to a set of categorically scored items. The most common IRT models can be classified as generalized linear fixed- and/or mixed-effect models. Although IRT models appear most often in the psychological testing literature, researchers in other...
Tem response theory models (IRT) are increasingly becoming established in social science research, particularly in the analysis of performance or attitudinal data in psychology, education, medicine, marketing and other fields where testing is relevant. We propose the R package eRm (extended Rasch modeling) for computing Rasch models and several extensions. A main characteristic...
The behavioral, educational, and social sciences are undergoing a paradigmatic shift in methodology, from disciplines that focus on the dichotomous outcome of null hypothesis significance tests to disciplines that report and interpret effect sizes and their corresponding confidence intervals. Due to the arbitrariness of many measurement instruments used in the behavioral,...
In computerized testing, the test takers' responses as well as their response times on the items are recorded. The relationship between response times and response accuracies is complex and varies over levels of observation. For example, it takes the form of a tradeoff between speed and accuracy at the level of a fixed person but may become a positive correlation for a...
The Rasch family of models considered in this paper includes models for polytomous items and multiple correlated latent traits, as well as for dichotomous items and a single latent variable. An R package is described that computes estimates of parameters and robust standard errors of a class of log-linear-by-linear association (LLLA) models, which are derived from a Rasch...
Variance component models are generally accepted for the analysis of hierarchical structured data. A shortcoming is that outcome variables are still treated as measured without an error. Unreliable variables produce biases in the estimates of the other model parameters. The variability of the relationships across groups and the group-effects on individuals' outcomes differ...
The Rasch sampler is an efficient algorithm to sample binary matrices with given marginal sums. It is a Markov chain Monte Carlo (MCMC) algorithm. The program can handle matrices of up to 1024 rows and 64 columns. A special option allows to sample square matrices with given marginals and fixed main diagonal, a problem prominent in social network analysis. In all cases the...
We describe an implementation of simple, multiple and joint correspondence analysis in R. The resulting package comprises two parts, one for simple correspondence analysis and one for multiple and joint correspondence analysis. Within each part, functions for computation, summaries and visualization in two and three dimensions are provided, including options to display...
Traditional Rasch estimation of the item and student parameters via marginal maximum likelihood, joint maximum likelihood or conditional maximum likelihood, assume individuals in clustered settings are uncorrelated and items within a test that share a grouping structure are also uncorrelated. These assumptions are often violated, particularly in educational testing situations,...
The classical Poisson, geometric and negative binomial regression models for count data belong to the family of generalized linear models and are available at the core of the statistics toolbox in the R system for statistical computing. After reviewing the conceptual and computational features of these methods, a new implementation of hurdle and zero-inflated regression models...
This paper describes the implementation of Heckman-type sample selection models in R. We discuss the sample selection problem as well as the Heckman solution to it, and argue that although modern econometrics has non- and semiparametric estimation methods in its toolbox, Heckman models are an integral part of the modern applied analysis and econometrics syllabus. We describe...
Quantile regression for censored survival (duration) data offers a more flexible alternative to the Cox proportional hazard model for some applications. We describe three estimation methods for such applications that have been recently incorporated into the R package quantreg: the Powell (1986) estimator for fixed censoring, and two methods for random censoring, one introduced...
We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians. There are also procedures for nonparametric tests of significance and consistent model specification tests for parametric mean...
The structure of the package vars and its implementation of vector autoregressive, structural vector autoregressive and structural vector error correction models are explained in this paper. In addition to the three cornerstone functions VAR(), SVAR() and SVEC() for estimating such models, functions for diagnostic testing, estimation of a restricted models, prediction,...
Automatic forecasts of large numbers of univariate time series are often needed in business and other contexts. We describe two automatic forecasting algorithms that have been implemented in the forecast package for R. The first is based on innovations state space models that underly exponential smoothing methods. The second is a step-wise algorithm for forecasting with ARIMA...
Panel data econometrics is obviously one of the main fields in the profession, but most of the models used are difficult to estimate with R. plm is a package for R which intends to make the estimation of linear panel models straightforward. plm provides functions to estimate a wide variety of models and to make (robust) inference.
Palaeoecology is an important branch of ecology that uses the subfossil remains of organisms preserved in lake, ocean and bog sediments to inform on changes in ecosystems and the environment through time. The analogue package contains functions to perform modern analogue technique (MAT) transfer functions, which can be used to predict past changes in the environment, such as...
This paper provides a brief introduction to the R package bio.infer, a set of scripts that facilitates the use of maximum likelihood (ML) methods for predicting environmental conditions from assemblage composition. Environmental conditions can often be inferred from only biological data, and these inferences are useful when other sources of data are unavailable. ML prediction...
Multivariate analyses are well known and widely used to identify and understand structures of ecological communities. The ade4 package for the R statistical environment proposes a great number of multivariate methods. Its implementation follows the tradition of the French school of "Analyze des Donnees" and is based on the use of the duality diagram. We present the theory of...
Ade4 is a multivariate data analysis package for the R statistical environment, and ade4TkGUI is a Tcl/Tk graphical user interface for the most essential methods of ade 4. Both packages are available on CRAN. An overview of ade4TkGUI is presented, and the pros and cons of this approach are discussed. We conclude that command line interfaces (CLI) and graphical user interfaces...
Knowledge of the environmental features affecting habitat selection by animals is important for designing wildlife management and conservation policies. The package adehabitat for the R software is designed to provide a computing environment for the analysis and modeling of such relationships. This paper focuses on the preliminary steps of data exploration and analysis,...
Results of ecological models differ, to some extent, more from measured data than from empirical knowledge. Existing techniques for validation based on quantitative assessments sometimes cause an underestimation of the performance of models due to time shifts, accelerations and delays or systematic differences between measurement and simulation. However, for the application of...
The analysis of matrix population models has become a fundamental tool in ecology, conservation biology, and life history theory. In this paper, I present demogR, a package for analyzing age-structured population models in R. The package includes tools for the construction and analysis of matrix population models. In addition to the standard analyses commonly used in...
A complete assessment of population growth and viability from field census data often requires complex data manipulations, statistical routines, mathematical tools, programming environments, and graphical capabilities. We therefore designed an R package called popbio to facilitate both the construction and analysis of projection matrix models. The package consists primarily of...
This introduction to R is derived from an original set of notes describing the S and SPlus environments written in 1990–2 by Bill Venables and David M. Smith when at the University of Adelaide. We have made a number of small changes to reflect differences between the R and S programs, and expanded some of the material. We would like to extend warm thanks to Bill Venables (and...
Sage Publications, Inc2002ISBN: 0761922792328 p. | "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 showing...
Year: 2005Publisher: WileyISBN: 0470022973 |Language: EnglishNumber of pages: 333 Computer software is an essential tool for many statistical modeling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a...
Publisher: O’Reilly Media2010Pages: 538 Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look...
R users can often solve optimization tasks easily using the tools in the optim function in the stats package provided by default on R installations. However, there are many other optimization and nonlinear modeling tools in R or in easily installed add-on packages. These present users with a bewildering array of choices. optimx is a wrapper to consolidate many of these choices...
The package dcemriS4 provides a complete set of data analysis tools for quantitative assessment of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Image processing is provided for the ANALYZE and NIfTI data formats as input with all parameter estimates being output in NIfTI format. Estimation of T1 relaxation from multiple flip-angle acquisitions, using either...
Two packages, oro.dicom and oro.nifti, are provided for the interaction with and manipulation of medical imaging data that conform to the DICOM standard or ANALYZE/NIfTI formats. DICOM data, from a single file or directory tree, may be uploaded into R using basic data structures: a data frame for the header information and a matrix for the image data. A list structure is used...
The prestigious 1998 Association for Computing Machinery Award for software systems was awarded to John Chambers of Bell Labs for the S system. The citation reads, For the S system, which has forever altered how people analyze, visualize, and manipulate data. R is an open-source implementation of S and S-PLUS its commercial implementation. R is an extensible, well documented...
Academic Press2005ISBN: 0127515429608 p.2nd ed This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and...
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development...
O’Reilly Media2011ISBN: 144930903892 p. | Dive into the RStudio Integrated Development Environment (IDE) for using and programming R, the popular open-source software for statistical computing and graphics. This concise book provides new and experienced users with an overview of RStudio, as well as hands-on instructions for analyzing data, generating reports, and developing R...
This book is a manifestation of my desire to teach researchers in biology a bit more about statistics than an ordinary introductory course covers and to introduce the utilization of R as a tool for analyzing their data. My goal is to reach those with little or no training in higher level statistics so that they can do more of their own data analysis, communicate more with...
Springer, 2008. — 284 p. — (Series "Use R!"). — ISBN: 0387772391. Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Bioconductor tools...
Springer2010ISBN: 3642123171261 p. Language: German. Das Buch fuhrt in Grundprinzipien der Stichprobenziehung und der zugehorigen statistischen Auswertung ein. Dabei stehen Motivation und anschauliche Beschreibung der Verfahren im Vordergrund. Nach einer generellen Einfuhrung werden sowohl modellbasierte als auch designbasierte Stichprobenverfahren wie Clusterstichprobe und...
Gabler |ISBN: 3834911518276 p.2009Language: German | Dieses Übungsbuch wendet sich an Studierende der Wirtschafts- und Sozialwissenschaften, die sich gezielt und effizient auf Statistikklausuren im Bachelorstudiengang vorbereiten möchten. Die Übungsaufgaben beinhalten eine Vielzahl praxisnaher deskriptiver und induktiver statistischer Problemstellungen inklusive der komplett...
O’Reilly Media2011ISBN: 144930353638 p. | How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use canned sample data, you'll plot and...
Chapman & Hall/CRC2009ISBN: 1584885734Pages: 275 | This book illustrates the wonderful flexibility of HMMs as general-purpose models for time series data. It presents an accessible overview of HMMs for analyzing time series data, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It explores a...
ISBN: 978-0-387-71761-6Publisher: SpringerYear: 2007Pages: 201Language: English | This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapters include clustering, supervised classification, and working with missing values. A variety of plots and interaction methods are used in each analysis, often...
ISBN: 0470319917Publisher: WileyYear: 2008Pages: 232Language: English | Smoothing methods have been little used within the social sciences. Semiparametric Regression for the Social Sciences sets out to address this situation by providing an accessible introduction to the subject, filled with examples drawn from the social and political sciences. Readers are introduced to the...
ISBN: 1402086237Publisher: SpringerYear: 2008Pages: 372Language: English | This book is very different from any other publication in the field and it is unique because of its focus on the practical implementation of the simulation and estimation methods presented. The book should be useful to practitioners and students with minimal mathematical background, but because of the...
ISBN: 038740273XPublisher: SpringerYear: 2010Pages: 298Language: English | The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial...
Springer, 2008. — 148 p. — (Use R!). R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the R environment. This book provides a coherent and...
ISBN: 038777243XPublisher: SpringerYear: 2009Pages: 508Language: English |This book aims to provide insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but these...
ISBN: 978-1-4419-1763-8| Publisher: SpringerYear: 2010Pages: 218Language: English | This book covers recent advances for quantitative researchers with practical examples from social sciences. The following twelve chapters written by distinguished authors cover a wide range of issues-all providing practical tools using the free R software. McCullough: R can be used for reliable...
Springer, 2010. — 354 p. — ISBN: 1441977619. Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry...
ISBN: 978-0-387-98184-0. Publisher: SpringerY. ear: 2009. Pages: 212. Language: English. This volume in the UseR! Series is aimed at a wide range of readers, and especially those who would like apply these techniques to their research problems. It complements Functional Data Analysis, Second Edition and Applied Functional Data Analysis: Methods and Case Studies by providing...
ISBN: 3642163122Publisher: SpringerYear: 2010Pages: 178Language: English | Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend to rely on commercial packages to carry out statistical data analysis, often...
There are many books on regression and analysis of variance. These books expect different levels of preparedness and place different emphases on the material. This book is not introductory. It presumes some knowledge of basic statistical theory and practice. Students are expected to know the essentials of statistical inference like estimation, hypothesis testing and confidence...
ISBN: 1852338822Publisher: SpringerYear: 2007Pages: 230Language: English | Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such...
ISBN: 1441913173Publisher: SpringerYear: 2010Pages: 554Language: English | Stata is the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and open-source package for data analysis, with over 3,000 add-on packages available. This book shows you how to extend the power of Stata through the use of R. It introduces...
While the commercial implementation of S, S-PLUS, is struggling to keep its existing users, the open-source version of S, R, has received a lot of attention in the last _ve years. Not only because the R system is a free tool, the system has proven to be a very e_ective tool in data manipulation, data analysis, graphing and developing new functionality. The user community has...
ISBN: 158488424XPublisher: Chapman & Hall/CRCYear: 2005Pages: 312Language: English | Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in...
Academic Press, 2010. - 336 p. Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. The inclusion of R code as well as the development of...
ISBN: 059680170XPublisher: O’Reilly MediaYear: 2009Pages: 640Language: English | "I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just...
ISBN: 1405190086Publisher: Wiley-BlackwellYear: 2010Pages: 576| Language: English | R - the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment so as to pre a textbook...
Chapman & Hall/CRC, 2004. - 240 p. This textbook focuses on the practice of regression and analysis of variance. Readers will learn which methods are available and the various situations in which they can be applied. Numerous examples clarify the use of the techniques and demonstrate what conclusions can be made. The author places less emphasis on mathematical theory, partly...
CRC, 2010. — 240 p. — ISBN: 1439835802. Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and...
Chapman & Hall/CRC, 2010. — 205 p. — ISBN: 584885742. Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. After giving examples of multiplicity problems, the book...
Wiley, 2010. — 296 p. — ISBN: 0470284307. A complete guide to carrying out complex survey analysis using R. As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data...
O’Reilly Media, 2009. — 29 p. — ISBN: 9780596804770. This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R packages as well as its own...
Reading data into a statistical system for analysis and exporting the results to some other system for report writing can be frustrating tasks that can take far more time than the statistical analysis itself, even though most readers will find the latter far more appealing. This manual describes the import and export facilities available either in R itself or via packages which...
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...
3rd Edition. — Cambridge University Press, 2010. — 565 p. — ISBN: 0521762936. Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples,...
O’Reilly Media, 2011. — 436 p. — ISBN: 0596809158. 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...
Chapman & Hall/CRC Press, 2004. — 432 p. — ISBN: 1584884509, 0203499891. The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence,...
CRC Press, 2011. — 255 p. — ISBN: 1439827559. Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation and vast number of add-on packages. Organized by short, clear descriptive entries, the...
CRC Press, 2010. — 331 p. — ISBN: 1420088262. Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and...
Academic Press, 2010. — 529 p. — ISBN: 0123814855. There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS provides an accessible approach to Bayesian data analysis, as material is...
Springer, 2009. — 320 p. — ISBN: 1441900845. This book provides an introduction, suitable for advanced undergraduates and beginning graduate students, to two important aspects of molecular biology and biophysics: computer simulation and data analysis. It introduces tools to enable readers to learn and use fundamental methods for constructing quantitative models of biological...
Chapman & Hall/CRC, 2005. — 216 p. — ISBN: 1584884541. Robust statistical methods were developed to supplement the classical procedures when the data violate classical assumptions. They are ideally suited to applied research across a broad spectrum of study, yet most books on the subject are narrowly focused, overly theoretical, or simply outdated. Robust Statistical Methods...
CRC, 2010. — 387 p. — ISBN: 1439840202. Too often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and shows step by step how to implement the...
Chapman and Hall/CRC, 2010. — 1681 p. — ISBN: 1584887117. This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references is listed. Reasonable efforts have been made to publish reliable data and information, but the authors and the publisher cannot assume...
Manning Publications, 2011. — 447 p. — ISBN: 978-1935182399. The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive package that empowers developers and analysts to capture, process,...
Chapman and Hall/CRC, 2006. — 301 p. — ISBN: 158488486X. R is revolutionizing the world of statistical computing. Powerful, flexible, and best of all free, R is now the program of choice for tens of thousands of statisticians. Destined to become an instant classic, R Graphicspresents the first complete, authoritative exposition on the R graphical system. Paul Murrell, widely...
2nd edition. — Chapman and Hall/CRC, 2010. — 376 p. — ISBN: 1420079336. A Proven Guide for Easily Using R to Effectively Analyze Data. Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical...
Second Edition. — Springer, 2008. — (501 + 305) p. — ISBN: 0387759586. The book was developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. Basic applied statistics through multiple linear regression is assumed. Calculus is assumed only to the extent of minimizing sums of squares, but a...
Springer, 2009. — 412 p. — ISBN: 0387921249. Quantitative trait locus (QTL) mapping is used to discover the genetic and molecular architecture underlying complex quantitative traits. It has important applications in agricultural, evolutionary, and biomedical research. R/qtl is an extensible, interactive environment for QTL mapping in experimental crosses. It is implemented as a...
Springer, 2009. — 236 p. — ISBN: 0387938362. Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary...
Wiley, 2008. — 618 p. — ISBN: 0470758058. R, an Open-source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields including...
Cambridge University Press, 2008. — 174 p. — ISBN: 0521694248. This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with...
Chapman & Hall/CRC, 2009. — 449 p. This book has two principal aims: to teach scientific programming and to introduce stochastic modeling. Stochastic modeling in particular, and mathematical modeling in general, are intimately linked to scientific programming because the numerical techniques of scientific programming enable the practical application of mathematical models to...
Chapman and Hall/CRC, 2010. — 305 p. — ISBN: 1439810184, 9781439810187. The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R...
John Wiley & Sons Ltd, 2007. — 951 p. Getting Started Essentials of the R Language Data Input Dataframes Graphics Tables Mathematics Classical Tests Statistical Modeling Regression Analysis of Variance Analysis of Covariance Generalized Linear Models Count Data Count Data in Tables Proportion Data Binary Response Variables Generalized Additive Models Mixed-Effects Models...
Packt Publishing, 2010. — 300 p. — ISBN: 1849512086. This guide uses an inventive role-playing approach to teaching the most effective data analysis techniques using R. Entertaining and involving, it comes with examples, screenshots, and code for fast learning. An easy introduction for people who are new to R, with plenty of strong examples for you to work through This book...
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