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​​20150829 [Coursera] R Programming (3)

​​整理自 R Programming (Week 1) -- Data Types

​​[ Week 1 課程內容 ]

• ​​Introduction (略過)

• ​​Overview and History of R [16:07] (完成)

• ​​Getting Help [13:53] (略過)

• ​​Console Input and Evaluation [4:46] (完成)

• ​​Data Types - R Objects and Attributes [4:43]

• ​​Data Types - Vectors and Lists [6:27]

• ​​Data Types - Matrices [3:24]

• ​​Data Types - Factors [4:31]

• ​​Data Types - Missing Values [2:10]

• ​​Data Types - Data Frames [2:44]

• ​​Data Types - Names Attribute [1:49]

• ​​Data Types - Summary [0:43]

• ​​Reading Tabular Data [5:51]

• ​​Reading Large Tables [7:08]

• ​​Textual Data Formats [4:58]

• ​​Connections: Interfaces to the Outside World [4:35]

• ​​Subsetting - Basics

• ​​Subsetting - Lists

• ​​Subsetting - Matrices

• ​​Subsetting - Partial Matching

• ​​Subsetting - Removing Missing Values

• ​​Vectorized Operations [3:46]

• ​​Introduction to swirl

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​​[ 本次筆記內容 ] Data Types

• ​​（一）Data Types - R Objects and Attributes

• ​​（二）Data Types - Vectors 、Matrices and Lists

• ​​（三）Data Types - Factors

• ​​（四）Data Types - Missing Values

• ​​（五）Data Types - Data Frames

• ​​（六）Data Types - Names Attribute

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​​（一）Data Types - R Objects and Attributes

​​[ 參考資料 ]

• ​​物件的維度名稱

• ​​3.1 Intrinsic attributes: 內在屬性：模式和長度

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​​[ 重點整理 ]

​​1.  Object    物件

• ​​向量(vector) : 

• ​​R裡面最基本的物件

• ​​一個向量通常可以擁有多個元素 (但是須為相同類型)