learning R with swirl-missing value
缺失值在數據分析中有重要的作用，我們需要認真瞭解是什麼原因導致了它的缺失。在R語言中，NA代表了不確定和缺失。 缺失值做算術運算還是缺失值NA。 首先根據正態分佈隨機生成1000個數字序列。這裏我們要注意：norm()是正態分佈，在前面加r表示生成隨機正態分佈數列。 然後用rep()函數生成包含1000個缺失值的變量。 然後我們混合2000個數值，使用sample（）
相關文章
- 1. learning R with swirl-functions
- 2. learning R with swirl-logic
- 3. learning r with swirl -basic building blocks
- 4. learning R with swirl-sequences of numbers
- 5. learning R with swirl-Base Graphics
- 6. learning R with swirl-dates and times
- 7. learning R with swirl-workspace and files
- 8. learning R with swirl-simulation(模擬)
- 9. learning R with swirl-looking at data
- 10. learning R with swirl-subsetting vectors(子集向量)
- 更多相關文章...
- • XML DOM value 屬性 - XML DOM 教程
- • ASP.NET ListItem Value 屬性 - ASP.NET 教程
- • 使用Rxjava計算圓周率
- • 爲了進字節跳動，我精選了29道Java經典算法題，帶詳細講解
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. learning R with swirl-functions
- 2. learning R with swirl-logic
- 3. learning r with swirl -basic building blocks
- 4. learning R with swirl-sequences of numbers
- 5. learning R with swirl-Base Graphics
- 6. learning R with swirl-dates and times
- 7. learning R with swirl-workspace and files
- 8. learning R with swirl-simulation(模擬)
- 9. learning R with swirl-looking at data
- 10. learning R with swirl-subsetting vectors(子集向量)