Навыки r-development
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r-development
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使用 tidyverse 模式撰寫現代 R 程式碼
使用過時模式撰寫 R 程式碼會浪費時間並產生技術債務。本技能提供 tidyverse、rlang 元程式設計和套件開發的最新最佳實踐，讓您能撰寫簡潔、高效的 R 程式碼。
Поддерживает: Claude Codex Code(CC)
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Использование «r-development». 展示如何使用現代 dplyr 按群組摘要資料
Ожидаемый результат:
- 使用 .by 參數進行每個操作的群組分組
- 自動返回未群組化的結果
- 範例：data |> summarise(mean(x), .by = category)
- 可與 across() 搭配使用以處理多個資料行
Использование «r-development». 如何用現代結構建立 R 套件
Ожидаемый результат:
- 使用 usethis::create_package() 取得正確的結構
- 在 DESCRIPTION 的 Imports 欄位中新增相依套件
- 使用 roxygen2 從程式碼註解產生文件
- 使用 testthat 框架設定測試
Аудит безопасности
Безопасноv5 • 1/16/2026
Pure documentation skill containing only markdown files with R code examples. No executable code, network calls, filesystem access, or external commands. All capabilities align with stated purpose. Static scanner flagged patterns in documentation text as security issues, but all are false positives.
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⚙️ Внешние команды (182)
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Проверено: claude Посмотреть историю аудитов →
Оценка качества
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Архитектура
100
Сопровождаемость
85
Контент
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Сообщество
100
Безопасность
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Соответствие спецификации
Что вы можете построить
現代化資料管線
將傳統 R 程式碼升級至目前的 tidyverse 模式，以獲得更簡潔、更快速的資料管線。
建立高品質套件
建立具有正確結構、測試和文件的可維護 R 套件。
優化緩慢的程式碼
使用效能分析和基準測試工具找出並修復效能瓶頸。
Попробуйте эти промпты
篩選資料
展示如何使用現代 dplyr 搭配多個條件和 .by 分組來篩選 R 中的資料列。
聯結資料表
使用 join_by() 撰寫內部聯結，支援不等式匹配和多個匹配處理。
建立函式
建立一個使用 rlang {{ }} 語法來接受資料行名稱作為引數的 R 函式。建構套件
設定完整的 R 套件結構，包含 DESCRIPTION、NAMESPACE、測試和正確的文件模式。
Лучшие практики
- 對於現代 R 4.1+，使用原生管線 |> 而非 magrittr %>%
- 在優化之前使用 profvis 分析程式碼以找出真正的瓶頸
- 在使用者面向的函式中驗證輸入，假設內部輔助函式的輸入是有效的
Избегать
- 避免 group_by() |> summarise() |> ungroup() 模式，改用 .by
- 不要在套件中使用 library()，應在 DESCRIPTION 中使用 Imports
- 避免在迴圈中增長向量，應事先配置記憶體
Часто задаваемые вопросы
現代 tidyverse 模式需要哪個 R 版本？
R 4.1+ 是使用原生管線 |>. 所需版本。dplyr 1.1+ 是使用 join_by() 和 .by 的必要版本。
{{ }} 和 .data[[]] 有什麼區別？
{{ }} 將資料行引數轉發給資料遮罩函式。.data[[]] 依名稱（作為字串）存取資料行。
如何將此技能與現有的 R 專案整合？
撰寫 R 程式碼或需要指導時引用此技能。它提供可套用到現有程式碼庫的模式。
此技能會儲存或分享我的資料嗎？
不會。這是一個唯讀的文件技能，沒有檔案、網路或資料存取功能。
這與 R 文件網站有何不同？
此技能專門為 AI 助手策劃最佳實踐，提供精選的範例和可操作的指導。
新專案應該使用 S3 還是 S7？
對於需要驗證和結構的新專案使用 S7。S3 仍然適合簡單的類別和最大的相容性。