R Programming Insights Textbook
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R Programming Insights Textbook
In today's data-driven world, the ability to analyse and interpret data is essential. R, a powerful and versatile programming language, has become a leading tool for data analysis, statistics, and visualization. This book is designed to be a comprehensive guide to R programming, suitable for both beginners and experienced users. We start with the basics of R, including installation and familiarization with RStudio. From there, we cover fundamental concepts such as data types, structures, and basic operations, progressing to advanced topics like data manipulation, statistical analysis, and visualization. The book also introduces popular R packages that enhance its capabilities. Each chapter includes practical exercises and real-world examples to reinforce your learning and provide hands-on experience. By working through these exercises, you will gain a deeper understanding of R and the confidence to apply your skills to real-world problems. Whether you are new to programming or an experienced coder looking to add R to your skillset, this book will serve as a valuable resource. By the end, you will be proficient in R programming and inspired to explore its vast possibilities. To reinforce your learning and ensure mastery of the concepts, each chapter includes: 1. Exercises: Thought-provoking exercises designed to test your understanding and reinforce key concepts. 2. Activities: Hands-on activities to apply what you've learned in real-world scenarios, fostering critical thinking and problem-solving skills. 3. Projects: Engaging projects that challenge you to tackle R Programming problems from start to finish, integrating multiple concepts and techniques. 4. Test Papers: Comprehensive test papers to assess your knowledge and track your progress throughout the course. 5. Online Exams for Practice Questions: Access to online exams containing additional practice questions, allowing you to reinforce your learning at your own pace. 6. Viva Questions: Viva questions to prepare you for oral examinations, helping you articulate your understanding of the subject with confidence. By actively engaging with the material presented in this book, you will develop a solid understanding of R Programming principles and acquire practical skills that are highly sought after in today's job market. Whether you aspire to pursue a career in R Programming, enhance your analytical skills, or simply satisfy your curiosity about the world of data, this book will serve as your comprehensive guide and companion on your journey.
R Programming
Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of "R for Data Science" is to help you learn the most important tools in R that will allow you to do data science. After reading this book, you'll have the tools to tackle a wide variety of data science challenges, using the best parts of R. This book will teach you how to program in R. You'll go from loading data to writing your own functions (which will outperform the functions of other R users).This is an understandable approach to learning R. Visualizing and modeling data are complicated skills that require a programmer's full attention. It takes expertise, judgement, and focus to extract reliable insights from a data set. This book proudly focuses on small, in-memory datasets. This is the right place to start because you can't tackle big data unless you have experience with small data. I think R is a great place to start your data science journey because it is an environment designed from the ground up to support data science. R is not just a programming language, but it is also an interactive environment for doing data science. Simply In Depth....
Understanding and Applying Basic Statistical Methods Using R
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 basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.