#鲁虺R语言编程资源合集网 http://r.luhui.net R语言学习资料
野生码农在R语言工程化的道路上持续努力中。
一. R语言 NPC
- RStudio 谢益辉 高产的R包作者
- 量化交易 任坤
- 京东 刘思喆
- 经济金融 邓一硕
- SparkR研究 孙锐
- 普渡大学PhD 邱怡轩
- 雪晴数据网 陈雁平
- R语言极客 张丹
- ParallelR 赵鹏
- 芝加哥大学PhD 肖楠 ...
二、 R语言软件下载
- 核心组件 R 只有 30MB
- 编辑器 RStudio
除了写代码、论文之外,用来做管理微信公众号的排版也是非常好的工具,一般人不告诉他。
想想用RStudio作为主力编辑器的小编档次就不一样。。
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容器革命 Docker: Rocker
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BI套件: REmap,Shinydashboard,ggplot2
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机器学习: Xgboost
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深度学习: MXNET
矩阵论和线性代数
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徐老师 优酷视频//学习高数和线性代数
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MIT 网易公开课//高级
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Khan 网易公开课//入门
概率论与数理统计
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Youtube 台湾统计老师 //需要梯子
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何英凯 跨考概率论//精品
R教学课程
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youtube 台湾R演习室//R&统计
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CodeSchool//基础
Example1:运筹学与最优化理论
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游老师 优酷视频//入门
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事理求精运筹学 国内//精品
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杜刚老师 中国大学视频公开课//精品
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韩伯棠老师 中国大学视频公开课//精品
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R实战之运筹学[高阶]
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Youtube non-linear programming Example2: 数据挖掘
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weka与数据挖掘(基于java的另一个开源软件 类似于R)
Example3: 控制原理
数据结构 、编程基础、操作系统
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各路编程语言tutorial大全 Youtube Bucky 包含:(R、C、H5、Python、Android、PS、Java、PHP等等)
MathJax is an open-source JavaScript display engine for LaTeX, MathML, and AsciiMath notation that works in all modern browsers. It was designed with the goal of consolidating the recent advances in web technologies into a single, definitive, math-on-the-web platform supporting the major browsers and operating systems. It requires no setup on the part of the user (no plugins to download or software to install), so the page author can write web documents that include mathematics and be confident that users will be able to view it naturally and easily. Simply include MathJax and some mathematics in a web page, and MathJax does the rest.
Some of the main features of MathJax include:
-
High-quality display of LaTeX, MathML, and AsciiMath notation in HTML pages
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Supported in most browsers with no plug-ins, extra fonts, or special setup for the reader
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Easy for authors, flexible for publishers, extensible for developers
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Supports math accessibility, cut-and-paste interoperability, and other advanced functionality
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Powerful API for integration with other web applications
See http://www.mathjax.org/ for additional details.
The MathJax installation and usage documentation is available in a separate GitHub repository at
https://github.com/mathjax/mathjax-docs
The HTML versions are now available at
http://docs.mathjax.org/
where it is possible for you to submit corrections and modifications directly to the documentation on line.
The main MathJax website is http://www.mathjax.org, and it includes announcements and other important information. MathJax is maintained and distributed on GitHub at http://github.com/mathjax/MathJax. A user forum for asking questions and getting assistance is hosted at Google, and the bug tracker is hosted at GitHub:
Bug tracker: https://github.com/mathjax/MathJax/issues
MathJax-Users Group: http://groups.google.com/group/mathjax-users
Before reporting a bug, please check that it has not already been reported. Also, please use the bug tracker for reporting bugs rather than the help forum.