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商品描述
There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code.
Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming.
- Get advice for setting up an R programming environment
- Explore general programming concepts and R coding techniques
- Understand the ingredients of an efficient R workflow
- Learn how to efficiently read and write data in R
- Dive into data carpentry—the vital skill for cleaning raw data
- Optimize your code with profiling, standard tricks, and other methods
- Determine your hardware capabilities for handling R computation
- Maximize the benefits of collaborative R programming
- Accelerate your transition from R hacker to R programmer
商品描述(中文翻譯)
有許多優秀的 R 資源可用於視覺化、數據科學和套件開發。數百個分散的簡介、網頁和論壇解釋了如何在特定領域中使用 R。然而,關於如何簡單有效地使用 R 的資料卻不多,直到現在。本書以實作為主,教導新手和有經驗的 R 使用者如何撰寫高效的 R 代碼。
作者 Colin Gillespie 和 Robin Lovelace 根據多年教授 R 課程的經驗,提供了一系列主題的實用建議——從優化 RStudio 的設置到利用 C++——使本書成為任何 R 使用者書架上的有用補充。來自各種背景的學術界、商業用戶和程式設計師都能從《高效 R 程式設計》中獲益。
- 獲得設置 R 程式設計環境的建議
- 探索一般程式設計概念和 R 編碼技術
- 理解高效 R 工作流程的要素
- 學習如何高效地在 R 中讀取和寫入數據
- 深入數據木工——清理原始數據的關鍵技能
- 通過性能分析、標準技巧和其他方法來優化您的代碼
- 確定您的硬體能力以處理 R 計算
- 最大化協作 R 程式設計的好處
- 加速您從 R 黑客轉變為 R 程式設計師的過程