R Introduction

Robert Gentleman + Ross

1. Free Software

2. Lots of Users, more than 2 million users

3. Lots of Applications, more than 5000 add-on (2013/10)

 

Data 競賽時選用的語言

 

Number of Google Scholar Hits For Each Software

 

Number of Posts

 

R Environment Installation:

1. R-Core

2. R IDE

2.1 RStudio Desktop / RStudio Server (http://www.rstudio.com/)

2.2 Architect (Eclipse-based IDE)

2.3 Revolution R (Optimization R-Core) for Academics

 

R all applications/packages

1. CRAN Task Views: 任務分組, 使用目的分組

http://cran.r-project.org/web/views/

安裝群組套件之前，必須先安裝並載入ctv套件

install.packages(‘ctv’)

library(ctv)

install.views(‘The one you want to install’)

2. R-forge: 鍛造廠, 較前瞻性的會放這

https://r-forge.r-project.org/

 

R Knock Out Word!

1. Dynamic Documents

2. Reproducible Research

 

R 的文書功能:

1. Sweave (R + LaTex)

2. Knitr (R + Markdown)

3. IPython Notebook

 

R Input / Output Example:

1. Read local file (single/multiple)

2. Read network file

3. Read web page (SpideR)

4. Website dynamic interface (Shiny)

 

Code School, Try R:

https://www.codeschool.com/courses/try-r

 

R 推薦連結:

1. idre UCLA

2. Taiwan User R Group (Facebook)

3. Taiwan User R Group (Youtube)

4. 中華R軟體學會

5. 統計之都 COS

6. R Bloggers

7. R Language Resources (RevolutionAnalytics.com)

8. insider-R (美觀的R線上文件)