The R Software: Fundamentals of Programming and Statistical Analysis (Statistics and Computing)

The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance. The last chapter in this part deals with oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book.

《R軟體》的內容旨在全面且易於讀者使用。除了作為自學教材外，本書還可以支持從初學者到高級水平的R課程。本書可作為初學者和更高級使用者的R教材，適用於Windows、MacOS或Linux操作系統。書的第一部分涵蓋了R語言的核心和基本概念，包括數據組織、導入和導出、各種操作、文檔、圖表、編程和維護。該部分的最後一章介紹了面向對象編程以及將R與C/C++或Fortran進行接口，並包含了關於調試技術的部分。接下來是書的第二部分，詳細解釋了如何進行許多標準統計分析，主要涉及生物統計學領域。包括矩陣運算、積分、優化、描述統計、模擬、置信區間和假設檢驗、簡單和多元線性回歸以及變異數分析等數學和統計設置的主題。第二部分的每個統計章節都依賴於一個或多個由波爾多公共衛生學院（Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED）提供的真實生物醫學數據集，這些數據集在書的開頭進行了描述。每個章節都以評估部分結束：最重要詞彙的摘要，然後是理論練習部分（需要在紙上完成），可用作測驗的問題。此外，工作表使讀者能夠檢查他在R中的新能力。本書包含了所有練習和工作表的解答。