R

2023年8月1日 (二) 11:43的最后版本

您可以在Wikipedia上了解到此条目的英文信息 R Thanks, Wikipedia.

The R programming language, sometimes described as GNU S, is a programming language and software environment for statistical computing and graphics.

R的语法来自Scheme。

[编辑] 简介

R Consortium R联盟，A Linux Foundation Project. R Consortium @ GitHub

R Community IDEA（Inclusion 包容性, Diversity 多样性, Equity 公平, and Accessibility 可访问）

在 TIOBE 2022年1月对编程语言人气的排名中，R排名第12。R语言长期排在20名以内，发展十分稳健。

R 以 S语言为基础，其语法来自 Scheme。

Tcl/Tk for X11 (optional, needed for the tcltk R package)

[编辑] GNU R

R is an official part of the Free Software Foundation's GNU project：GNU R

[编辑] 版本

[编辑] 项目

Awesome R
R-hub
rOpenSci rOpenSci Packages: Development, Maintenance, and Peer Review
Numerical Mathematics 数值数学
Differential Equations 微分方程
Optimization and Mathematical Programming 优化和数学编程
Machine Learning & Statistical Learning 机器学习和统计学习
Chemometrics and Computational Physics 化学计量学和计算物理学
Econometrics 计量经济学
RKWard

[编辑] 安装

安装Rattle
> install.packages("rattle") 
> install.packages("rattle", repos="http://rattle.togaware.com", type="source") 
> library(rattle)
> rattle()

[编辑] 图形接口

RStudio 是 R 的开源IDE。
RKWard 基于 KDE/Qt 构建
Rattle Gnome cross platform GUI for Data Mining using R
Red-R Open source visual programming interface for R
Deducer Intuitive, cross-platform graphical data analysis system
RKWard Easy to use, transparent frontend
JGR Universal and unified graphical user interface for R
R Commander

[编辑] Emacs

Emacs Speaks Statistics (ESS)、ESS @ GitHub、Windows和OS X版

[编辑] C++

[编辑] Spark

[编辑] Hadoop

[编辑] 数据源

Flat文件：read.table()、read.csv()
Excel文件：readxl、gdata、XLConnect
统计软件：SAS、SPSS、STATA，Haven: Read SPSS, Stata and SAS files from R
数据库：RPostgreSQL、RMySQL
Web数据：rvest

[编辑] 机器学习

[编辑] 发行版

Microsoft R Open

[编辑] 文档

[编辑] 图书

《Data Mining With Rattle and R》

[编辑] 开发者作者

John Fox

[编辑] 图集

图形控制台
各种数据源
R Markdown
RKWard
RKWard安装R软件包

[编辑] 链接

@@ 第1行： / 第1行： @@
-{{SeeWikipedia}}
+{{SeeWikipedia|R (programming language)}}
 The R programming language, sometimes described as GNU S, is a programming language and software environment for statistical computing and graphics.
 R的语法来自[[Scheme]]。
+==简介==
+[[文件:R-logo.png|right|R]]
+[https://www.r-consortium.org/ R Consortium] R联盟，A [[Linux Foundation]] Project. [https://github.com/RConsortium R Consortium @ GitHub]
+R Community [https://github.com/RConsortium/IDEA-WG IDEA]（Inclusion 包容性, Diversity 多样性, Equity 公平, and Accessibility 可访问）
+在 [https://www.tiobe.com/tiobe-index/r/ TIOBE] 2022年1月对编程语言人气的排名中，R排名第12。R语言长期排在20名以内，发展十分稳健。
+R 以 [https://web.archive.org/web/20181014111802/http://ect.bell-labs.com/sl/S/ S语言]为基础，其语法来自 [[Scheme]]。
+[[Tcl/Tk]] for X11 (optional, needed for the tcltk R package)
+==GNU R==
+R is an official part of the Free Software Foundation's GNU project：[https://directory.fsf.org/wiki/R GNU R]
+==版本==
+==项目==
+[[文件:r-hub-logo.png|right|R-hub]]
+[[文件:R.NET-logo.png|right|R.NET]]
+*[https://github.com/qinwf/awesome-R Awesome R] [[image:awesome.png]]
+*[https://github.com/r-hub R-hub]
+*[https://github.com/ropensci rOpenSci] [https://devguide.ropensci.org/ rOpenSci Packages: Development, Maintenance, and Peer Review]
+*[https://cran.r-project.org/web/views/NumericalMathematics.html Numerical Mathematics] 数值数学
+*[https://cran.r-project.org/web/views/DifferentialEquations.html Differential Equations] 微分方程
+*[https://cran.r-project.org/web/views/Optimization.html Optimization and Mathematical Programming] 优化和数学编程
+*[https://cran.r-project.org/web/views/MachineLearning.html Machine Learning & Statistical Learning] [[machine learning|机器学习]]和统计学习
+*[https://cran.r-project.org/web/views/ChemPhys.html Chemometrics and Computational Physics] 化学计量学和计算物理学
+*[https://cran.r-project.org/web/views/Econometrics.html Econometrics] 计量经济学
+*[[RKWard]]
 ==安装==
@@ 第14行： / 第45行： @@
 ==图形接口==
 *[[RStudio]] 是 R 的开源IDE。
+*[[RKWard]] 基于 [[KDE]]/[[Qt]] 构建
 *Rattle	Gnome cross platform GUI for Data Mining using R
 *Red-R	Open source visual programming interface for R
@@ 第30行： / 第62行： @@
 ==Spark==
 *[https://github.com/rstudio/sparklyr sparklyr] R interface for [[Apache Spark]]
+*[https://github.com/amplab-extras/SparkR-pkg R on Spark]
 *[[H2O]]
@@ 第46行： / 第79行： @@
 ==机器学习==
+*[[MXNet]]
 *[https://github.com/rstudio/tensorflow TensorFlow for R] [[TensorFlow]]
+*[https://github.com/twitter/AnomalyDetection AnomalyDetection] [https://github.com/twitter/BreakoutDetection BreakoutDetection]
+*[https://github.com/google/CausalImpact CausalImpact]
+*[https://github.com/johnmyleswhite/ML_for_Hackers Code for Machine Learning for Hackers]
 ==发行版==
@@ 第52行： / 第89行： @@
 ==文档==
+*[https://www.paulamoraga.com/presentation-geohealth R for Geospatial Data Science and Health Surveillance]
 *[http://docs.huihoo.com/javaone/2015/CON5361-R-on-the-JVM-with-the-FastR-Runtime.pdf R on the JVM with the FastR Runtime]
 ==图书==
 *[http://book.huihoo.com/data-mining-desktop-survival-guide/ 《Data Mining With Rattle and R》]
+==开发者作者==
+*[https://socialsciences.mcmaster.ca/jfox/ John Fox]
 ==图集==
@@ 第62行： / 第103行： @@
 image:different-types-of-data-into-R.png|各种数据源
 image:R-Markdown-Output-Formats.png|R Markdown
+image:KDE-RKWard.png|RKWard
+image:KDE-RKWard-R-Packages.png|RKWard安装R软件包
 </gallery>
 ==链接==
 *http://www.r-project.org/
-*[https://github.com/qinwf/awesome-R Awesome R] [[image:awesome.png]]
 *[http://www.r-bloggers.com/ R Bloggers]
 *[http://www.r-bloggers.com/how-to-learn-r-2/ How to Learn R]
@@ 第76行： / 第118行： @@
 *[https://github.com/yihui/r-ninja R语言忍者秘笈]
 *[http://terrytangyuan.github.io/2015/11/24/ggfortify-intro/ 一行R代码实现繁琐的可视化]
+*[https://cosx.org/2017/05/rdota2-seattle-prediction/ 十行代码预测插旗西雅图]
+[[category:GNU]]
+[[category:tcl]]
 [[category:data mining]]
 [[category:data science]]
@@ 第83行： / 第128行： @@
 [[category:programming language]]
 [[category:scheme]]
+[[category:Huihoo Foundation]]

R