Beginning R 4: From Beginner to Pro

Beginning R 4 provides a comprehensive tutorial for learning R, covering topics such as script writing, data handling, and statistical methods. It includes a hands-on installation of R and CRAN packages, and an introduction to statistical methods using R and its visualizations. The book is designed for programmers and data analysts who are new to R, with some prior programming experience recommended.

\n Format: Paperback / softback
\n Length: 467 pages
\n Publication date: 18 October 2020
\n Publisher: APress
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This comprehensive tutorial covers essential R 4 features, such as a new color palette for charts, an enhanced reference counting system (particularly useful for handling large datasets), and updated data import settings for text (including statistical methods for modeling text-based, categorical data). Each chapter begins with a list of learning objectives and concludes with a summary of the R functions introduced in that chapter, along with exercises to test your understanding. The text starts with a hands-on installation of R and CRAN packages for both Windows and macOS. The majority of the book focuses on introducing statistical methods (non-proof-based, applied statistics) using R, with a strong emphasis on visualizations to facilitate understanding, motivation, and statistical analysis and modeling.

Beginning R 4 demonstrates the practical application of R in various scenarios, including ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It adopts a hands-on, example-based approach, incorporating best practices with clear explanations of the statistical techniques employed.

By the end of this book, you will have acquired and installed R and RStudio, imported and exported data from various file formats, analyzed data, generated graphics (including confidence intervals), and conducted interactive hypothesis testing. Additionally, you will have developed code for multiple and moderated regression solutions.

This book is designed for programmers and data analysts who are new to R. While some prior programming experience is beneficial, it is not a prerequisite. Whether you are a researcher, analyst, or business professional seeking to leverage the power of R for data analysis and statistical modeling, this tutorial will provide you with the necessary skills and knowledge to get started.

\n Weight: 926g\n
Dimension: 178 x 253 x 32 (mm)\n
ISBN-13: 9781484260524\n
Edition number: 1st ed.\n