 |
||||
| Andy Vickler | ||||
| 2022 | ||||
| English | ||||
| 198 pages | ||||
| 10.30 MB | ||||
[tab] [content title="Summary"] Sure! Here’s a rephrased version of your text in English: --- R is an open-source statistical environment and programming language that has gained popularity for data management and analysis across various industries. "R" Programming teaches you everything you need to know about R quickly and effortlessly. This accessible tutorial helps you navigate lists without any prior programming experience, featuring numerous practical examples, step-by-step exercises, and sample code. The book covers the most significant modeling and prediction methods, along with their applications. Learn how to utilize R to transform raw data into knowledge, understanding, and insights. This book introduces you to R, RStudio, and the tidyverse—a collection of R tools that work together to simplify data research, making it smooth and enjoyable. It is designed to get you practicing data science as quickly as possible, even if you have no previous programming knowledge. You'll gain a solid understanding of the data science cycle and the essential tools you need to handle various details. R is becoming increasingly recognized, with large institutions adopting it as a standard. Its popularity is partly due to its free nature, which replaces expensive statistical software that can take a long time to master. Moreover, R allows users to conduct complex statistical analyses with just a few keystrokes, making advanced studies accessible to a broad audience. This book will teach you how to import data, create and manipulate data objects, navigate R's environment, develop your own functions, and utilize all of R's programming tools. It not only teaches you programming but also shows you how to use R for more than just displaying and analyzing data. Most chapters are tailored to help you understand statistical data, so if you are a student, this book will guarantee you learn some basic statistics that will support your academic success. The first two chapters focus on beginner-level R programming, primarily guiding you on how to successfully install and run the program on your device and introducing you to RStudio. You will receive comprehensive guidance. Chapters three and four will teach you simple lines of code and how to execute them successfully on your device, including some basic math. After that, you'll move on to chapter five, which is entirely focused on statistics. Chapters six and seven will shift your attention to more technical aspects. If you already have a basic understanding of HTML, these chapters will provide additional insights on related topics. Finally, in chapters eight, nine, and ten, you will learn how to create and run your data analyses. These chapters will complete your journey by explaining how data frames work and how to manage different types of data. You will also learn how to install pre-made data packages that can be useful for further practice. Finally, you will discover how to visualize your data in various forms, including charts and graphs. This book is highly informative, packed with code, and includes numerous illustrations of how the code appears in RStudio. Following this book, you will be able to start RStudio and navigate the program smoothly. --- Let me know if you need any adjustments! [/content] [content title="Content"] [/content] [content title="Author(s)"] [/content] [/tab]
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Key-Words: Télécharger R Programming: R Basics for Beginners EBOOK PDF EPUB DJVU . Download R Programming: R Basics for Beginners EBOOK PDF EPUB DJVU .
