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​​20150916 [Coursera] R Programming (4)

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

​​[ 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] (完成)

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

• ​​Data Types - Matrices [3:24] (完成)

• ​​Data Types - Factors [4:31] (完成)

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

• ​​Data Types - Data Frames [2:44] (完成)

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

• ​​Data Types - Summary [0:43] (完成)

• ​​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 ] Reading Data

• ​​（一）Reading Tabular Data

• ​​（二）Reading Large Tables

• ​​（三）Textual Data Formats

• ​​（四）Connections: Interfaces to the Outside World

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​​（一）Reading Tabular Data

​​[ 參考資料 ]

• ​​ 課堂簡報 : https://d396qusza40orc.cloudfront.net/rprog/lecture_slides/reading_tables.pdf

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​​[ 重點整理 ]

​​1.  讀取資料用的函數

• ​​表格資料(常見)

• ​​read.table()

• ​​read.csv()

• ​​文件(逐行讀取 , 用在.txt檔)

• ​​readLines()

• ​​R程式碼(讀取R code , 用在.R檔)

• ​​sourse()

• ​​dget()