Beginning R: An Introduction to Statistical Programming (Paperback)

Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics.

R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets. R is also becoming adopted into commercial tools such as Oracle Database. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for statistical exploration and research.

• Covers the freely-available R language for statistics
• Shows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and more
• Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done

What you’ll learn

• Acquire and install R
• Import and export data and scripts
• Generate basic statistics and graphics
• Program in R to write custom functions
• Use R for interactive statistical explorations
• Implement simulations and other advanced techniques

Who this book is for

Beginning R: An Introduction to Statistical Programming is an easy-to-read book that serves as an instruction manual and reference for working professionals, professors, and students who want to learn and use R for basic statistics. It is the perfect book for anyone needing a free, capable, and powerful tool for exploring statistics and automating their use.

Table of Contents

Part I. Learning the R Language
1. Getting R and Getting Started
2. Programming in R
3. Writing Reusable Functions
4. Summary Statistics

Part II. Using R for Descriptive Statistics
5. Creating Tables and Graphs
6. Discrete Probability Distributions
7. Computing Standard Normal Probabilities

Part III. Using R for Inferential Statistics
8. Creating Confidence Intervals
9. Performing t Tests 
10.  Implementing One-Way ANOVA
11.  Implementing Advanced ANOVA
12. Simple Correlation and Regression in R
13. Multiple Correlation and Regression in R
14. Logistic Regression
15. Performing Chi-Square Tests
16. Working in Nonparametric Statistics

Part IV. Taking R to the Next Level
17. Using R for Simulation
18. Resampling and Bootstrapping
19. Creating R Packages
20. Executing R Packages

《Beginning R: An Introduction to Statistical Programming》是一本實踐性的書籍，展示了如何使用R語言，編寫和保存R腳本，建立和導入數據文件，以及編寫自定義統計函數。R是一個強大的開源統計語言，是AT&T開發的統計語言S的實現。R已經超越了S和商業可用的S-Plus語言，成為進行、教學和學習計算統計的事實上標準。

R既是一種面向對象的語言，也是一種函數式語言，易於學習、易於使用，並且完全免費。一個龐大的R用戶和程序員社區提供了豐富的R代碼、函數和數據集。R也正在被商業工具如Oracle Database所採用。學習R的投資必將在長期中獲得回報，因為R在統計探索和研究中不斷發展成為首選語言。

本書涵蓋了免費提供的R統計語言，並展示了R在特定用例中的應用，如模擬、離散概率解決方案、單因素方差分析等。本書採用實踐和基於示例的方法，結合了最佳實踐和對所進行統計分析的清晰解釋。

本書適合工作專業人士、教授和學生閱讀，是一本易於閱讀的指南和參考書，想要學習和使用R進行基本統計分析的人。對於任何需要一個免費、功能強大的工具來探索統計並自動化使用的人來說，這本書是完美的選擇。

目錄：
第一部分 學習R語言
1. 獲取R並入門
2. 在R中編程
3. 編寫可重用的函數
4. 摘要統計

第二部分 使用R進行描述性統計
5. 創建表格和圖形
6. 離散概率分佈
7. 計算標準正態概率

第三部分 使用R進行推斷統計
8. 創建置信區間
9. 進行t檢驗
10. 實施單因素方差分析
11. 實施高級方差分析
12. 在R中進行簡單相關和回歸
13. 在R中進行多重相關和回歸
14. 邏輯回歸
15. 進行卡方檢驗
16. 非參數統計工作

第四部分 將R提升到更高水平
17. 使用R進行模擬
18. 重抽樣和自助法
19. 創建R包
20. 執行R包