Hands-On Programming with R Write Your Own Functions and Simulations (Garrett Grolemund, Hadley Wickham) (Z-Library)

【One-Line Pitch】 A hands-on, project-driven introduction to R programming that teaches you to write your own functions and simulations through practical casino-game data analysis, ideal for beginners and data scientists who want to move beyond basic visualization and modeling. 【Book Arc】 - **Opening (~0%–25%)**: Introduces the R user interface, basic objects, and the concept of writing functions, starting with the "Weighted Dice" project to simulate dice rolls and understand sampling with replacement. - **Early (~25%–50%)**: Covers packages and help pages, teaching you how to install and load packages, navigate documentation, and troubleshoot with R's built-in resources—essential for self-sufficient learning. - **Middle (~50%–75%)**: Dives into R objects (atomic vectors, lists, data frames) and attributes, then explores R notation for selecting and modifying values, using the "Playing Cards" project to deal and shuffle a deck. - **Late (~75%–100%)**: Advances to modifying values in place, logical subsetting, and Boolean operators, building toward more complex data manipulation and preparing for the final simulation project. - **Ending (~100%)**: Wraps up with practical applications, emphasizing vectorized code, debugging tools, and the S3 class system, culminating in a complete simulation project that reinforces all learned concepts. 【Key Takeaways】 - **R is a programming language, not just a stats tool** (Opening): The book reframes R as a full programming environment, enabling you to write custom functions and simulations beyond point-and-click analysis—crucial for reproducible research. - **Functions are the building blocks of R code** (Early): You learn to construct functions with the function constructor, manage arguments, and run scripts, which is foundational for automating repetitive tasks and scaling analyses. - **Packages extend R's power** (Early): Installing and loading packages via install.packages and library, plus mastering help pages, empowers you to leverage the vast R ecosystem and solve problems without reinventing the wheel. - **Understanding R objects is key to data manipulation** (Middle): Atomic vectors, lists, and data frames, along with attributes like names and dimensions, form the core of how R stores and structures data—mastering these prevents common errors. - **R notation controls data access** (Middle): Selecting values with positive/negative integers, logicals, and names, plus using dollar signs and double brackets, gives you precise control over data extraction, essential for cleaning and analyzing datasets. - **Logical subsetting enables powerful filtering** (Late): Using logical tests and Boolean operators to modify values in place is a fast, intuitive way to clean data and prepare it for analysis, outperforming manual editing. - **Vectorized code is lightning-fast** (Late): The book emphasizes writing vectorized R code over loops, which dramatically improves performance—a critical skill for handling large datasets efficiently. 【Reading Tips】 - **Skim the basics if you're familiar with R**: Chapters 1–2 cover the interface and packages; if you already know how to install packages and write simple functions, jump ahead to the object and notation chapters. - **Deep-read the casino projects**: The Weighted Dice and Playing Cards projects are the heart of the book—work through them line by line to see how concepts apply to real data problems. - **Practice with the exercises**: Each chapter ends with hands-on tasks; don't skip them, as they reinforce the syntax and logic you'll need for the final simulation. - **Watch for the vectorization sections**: These are the most valuable for performance—pay extra attention to how loops are replaced with vectorized operations, as this is a common pain point for new R users. - **Use the help pages as a reference**: The book teaches you how to read R's documentation; keep this skill in mind as you'll rely on it for any future R work. 【Coverage Limits】 This guide synthesizes the book's structure and key themes from the available excerpts, which primarily cover the table of contents and introductory material. Detailed content on specific functions, code examples, and the final simulation project is not fully covered in the source excerpts.