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    R tutorial === ###### tags: `R教學`   本頁面為昆蟲行為與寄生蟲實驗室統計相關程式語言的教學網頁。在教學上以R與python為主,內容為功能導向,以使用目的為中心做程式設計的教學。當下環境以中文教學為主,但外籍生加入後將會同步更新英文介面。   當代的生物學相關研究越來越重視資料的分析,然而隨著資料量越趨龐大以及各領域的資料越來越複雜的情況下,傳統的套裝軟體漸漸無法負荷。因此藉由簡易的程式設計進行資料分析漸漸成為主流。近代有許多的開源軟體可供選擇,而在生物相關的研究中,R 與 python 在目前是兩大主流被應用的統計程式語言。R 的誕生與統計應用息息相關,因此內建大多數統計常用的功能,在資料的視覺化上也暫時領先其他程式語言。然而近年 python 的使用逐漸上升且在許多的領域中使用人數已經大幅超越 R,縱使在統計的使用上還仰賴許多套件的輔助,在當代的人工智慧、圖像處理、資料整理,以及網路爬蟲等均以 python 為最主流的使用軟體。 >[name=Ming-Chung Chiu] [time=Dec 22, 2023] [color=#907bf7] **[English Version](https://hackmd.io/@Ming-Chung-CHIU/r1UtDsFSO)** **[轉移到 Python tutorial 主頁面](https://hackmd.io/@Ming-Chung-CHIU/Sk6ExuYSu)** - [回到 R tutorial 主頁面](https://hackmd.io/@Ming-Chung-CHIU/H13JRPYBu) 網路資源與共享 --- - [1. Mark down 使用與編輯](https://hackmd.io/@Ming-Chung-CHIU/B1zoxKKBu) 基礎教學 --- - [1. 下載與安裝](https://hackmd.io/@Ming-Chung-CHIU/H1RV8FFS_) - [2. 資料整理](https://hackmd.io/@Ming-Chung-CHIU/H13VfdKS_) - [3. 基礎繪圖](https://hackmd.io/@Ming-Chung-CHIU/B1FPNc5Iu) - [4. 繪圖應用:抑菌率運算](https://hackmd.io/@Ming-Chung-CHIU/S19B5_KSO) - [5. 繪圖應用:地圖繪製與物種分布](https://hackmd.io/@Ming-Chung-CHIU/Hy_X8PYUO) - [6. 迴圈運算](https://hackmd.io/@Ming-Chung-CHIU/ry1SjdFSO) - [7. 迴圈練習:*T* 檢定與中央及限定裡模擬](https://hackmd.io/@Ming-Chung-CHIU/r1L1jdYSd) - [8. 迴圈練習:*T* 檢定與樣本數預測](https://hackmd.io/@Ming-Chung-CHIU/SyZ45BjYd) - [9. 改檔案名稱](https://hackmd.io/@Ming-Chung-CHIU/Hk7mmstBd) - [10. 進階繪圖:ggplot2](https://hackmd.io/@Ming-Chung-CHIU/SyWD70GLu) 終端機連線與使用 --- - [1. 終端機連線](https://hackmd.io/@Ming-Chung-CHIU/SyX2AxoSu) 序列整理相關 --- - [1. DNA 序列檔名更改與選擇](https://hackmd.io/@Ming-Chung-CHIU/rknGIubLu) 基礎統計 --- - [0. 統計網頁介紹](https://hackmd.io/@Ming-Chung-CHIU/B17zoLLvu) - [1. 直線迴歸 (General linear model)](https://hackmd.io/@Ming-Chung-CHIU/BJElx-pcd) - [1. 複因子直線迴歸模型 (two factor General linear model)](https://hackmd.io/@Ming-Chung-CHIU/S1IzwsUN9) - [2. 羅吉斯回歸 (logistic regression)](https://hackmd.io/@Ming-Chung-CHIU/rykxWZ5Kd) [2.1 實例:蟑螂感染率](https://hackmd.io/@Ming-Chung-CHIU/SJZXsPb6u) [2.2 蟑螂感染延伸:蟑螂蟯蟲感染強度](https://hackmd.io/@Ming-Chung-CHIU/Sk7TndWRO) - [3. 存活分析 (Survival analysis)](https://hackmd.io/@Ming-Chung-CHIU/rJO44lTc_) 多變量分析 --- - [0. 多變量分析教學網站](https://hackmd.io/@Ming-Chung-CHIU/Sy_5BDU__) - [1. k-mean clustering](https://hackmd.io/@Ming-Chung-CHIU/BkADRoV9d) - [2. PCoA(MDS) 與 NMDS](https://hackmd.io/@Ming-Chung-CHIU/rknDdw8_O) 生態資料分析 --- - [生長曲線分析 (Estimation of Growth Rates)](https://hackmd.io/@Ming-Chung-CHIU/SyN5nYe6_) - [指標物種分析 (indicator species analysis)](https://hackmd.io/@Ming-Chung-CHIU/B1-iie9tu) - [空間自相關 (indicator species analysis)](https://hackmd.io/@Ming-Chung-CHIU/r1dHIX27q) - [生長積溫 (Thermal-time)](https://hackmd.io/@Ming-Chung-CHIU/ByIiU8bIc) 學生練習 --- - [張宜婷](https://hackmd.io/@Tina2001/HkYfxP8PO) - [林詠絢](https://hackmd.io/@S-41/Hy6vWbTLu) - [林晏羽](https://hackmd.io/@NX9hLGmOSp2aLSgRxMgr6g/H1DOL7pIu)

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