Mastering Modern R Programming

A Practical, Project-Based Guide to Simulations, Tidyverse, ggDescription2, Functional Programming, and Real-World Analysis with R
Learn how to write clean, powerful, and production-ready R code-by building real projects from scratch! In Mastering Modern R Programming, you'll master R through a hands-on approach that mirrors how analysts, data scientists, and researchers use it every day. From transforming messy datasets with the tidyverse, to simulating probabilistic outcomes and building complete RMarkdown reports, this book walks you through every essential skill.
Each concept is explained with real-world datasets, step-by-step examples, and clean project workflows using only code, flowcharts, ASCII diagrams, and tables. You'll develop a working understanding of modern R tools like dplyr, ggDescription2, purrr, and RMarkdown, while applying your knowledge in simulation, data visualization, and production pipelines.
Mastering Modern R Programming teaches you how to:
* Clean, reshape, and transform data using the tidyverse
* Build and customize Descriptions with ggDescription2 and the Grammar of Graphics
* Write reusable functions and scalable pipelines
* Simulate games, randomness, and Monte Carlo systems
* Automate analysis and generate reproducible reports with RMarkdown
* Develop and share your own R packages
* Deploy R scripts using cron, Docker, and cloud-friendly workflows
About the Technology
Modern R has evolved beyond academic statistics-it's now a powerful ecosystem for real-time analysis, automation, and reproducible research. With tools like purrr, tidyr, ggDescription2, and targets, R users can build efficient pipelines that rival traditional data engineering workflows. This book teaches you how to combine these tools into a unified, practical skillset for real-world analysis.
About the Book
Mastering Modern R Programming is a clear, structured, and practical guide to mastering R-through simulation, visualization, transformation, and automation. You'll build three full-scale projects, including a simulation engine, a business dashboard, and an environmental monitoring system using public datasets. You'll also learn how to develop and deploy your own R packages, use functional programming techniques, and build production pipelines from scratch.
What's Inside
* Real-world R workflows and project-based learning
* Step-by-step data cleaning, visualization, and modeling
* Functional programming and purrr
* RMarkdown, R packaging, and reproducible pipelines
* Complete mini-projects and reporting automation
* No images-just clean code, flowcharts, and clarity
About the Reader
For R beginners to intermediate users. No prior experience with tidyverse or functional programming required. Includes examples that run on any laptop, with optional GPU acceleration.

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