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R
来自开放百科 - 灰狐
(版本间的差异)
小 (→机器学习) |
小 (→机器学习) |
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第47行: | 第47行: | ||
==机器学习== | ==机器学习== | ||
+ | *[[MXNet]] | ||
*[https://github.com/rstudio/tensorflow TensorFlow for R] [[TensorFlow]] | *[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] | *[https://github.com/johnmyleswhite/ML_for_Hackers Code for Machine Learning for Hackers] | ||
2017年1月24日 (二) 13:22的版本
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。
目录 |
安装
安装Rattle > install.packages("rattle") > install.packages("rattle", repos="http://rattle.togaware.com", type="source") > library(rattle) > rattle()
图形接口
- RStudio 是 R 的开源IDE。
- 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
Emacs
C++
Spark
- sparklyr R interface for Apache Spark
- R on Spark
- H2O
Hadoop
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
机器学习
- MXNet
- TensorFlow for R TensorFlow
- AnomalyDetection BreakoutDetection
- CausalImpact
- Code for Machine Learning for Hackers
发行版
文档
图书
图集
链接
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