【latex版】水贴 [推广有奖]

1141楼

oliyiyi 发表于 2015-10-19 08:53:46

```{R}
linkedin <- c(16, 9, 13, 5, 2, 17, 14)
facebook <- c(17, 7, 5, 16, 8, 13, 14)
```

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oliyiyi 发表于 2015-10-19 09:15:59

AxMath 支持 OLE 嵌入，可与 Microsoft Office，WPS 等常见文档编辑软件协同操作，还可以矢量输出或输出为图片格式。本土化的公式编辑软件，可以下载试用试用！

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oliyiyi 发表于 2015-10-19 09:16:42

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oliyiyi 发表于 2015-10-19 09:17:50

GMass 是一款 Chrome 扩展，用来在使用 Gmail 批量发送电子邮件的时候自定义邮件内容，如姓名和邮件地址，让每一封发送出去的邮件都带有正确的称呼

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oliyiyi 发表于 2015-10-19 09:19:03

Easy Voice Recorder 是一款简洁易用的录音软件，可以录制会议、个人笔记、课程、歌曲等等，没有时间限制。@Appinn 青小蛙对录音应用的需求就是不常用，但用的时候要快速能拿得出手。 Easy Voice Recorder 的基本录音功能...

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oliyiyi 发表于 2015-10-19 09:21:15

Cmd Markdown 是一款 Markdown 编辑阅读工具，拥有 Windows、OS X、Linux 以及在线版本，除了以 Markdown 格式进行编辑、阅读外，还支持文档管理、代码支持以及针对学术论文的 LaTeX 公式支持

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oliyiyi 发表于 2015-10-19 09:27:25

A previous post on this blog explained how to make sure footnotes are placed underneath floats (which is not a standard in LaTeX). This post is written for another trick with footnotes: resetting the footnote counter for every new page. The way this will be done is by making use of the pfnote package, although numerous alternatives exist.

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oliyiyi 发表于 2015-10-19 09:40:57

Title: Mastering Data Analysis with R Volume:
Author(s): Gergely Daroczi
Series: Periodical:
Publisher: Packt Publishing City:
Year: 2015 Edition:
Language: English Pages: 380
ISBN: 1783982020, 9781783982028 ID: 1400083
Time added: 2015-10-13 02:32:27 Time modified: 2015-10-13 23:07:51
Library: Library issue: 0
Size: 8 MB (7952322 bytes) Extension: pdf
Worse versions: BibTeX Link

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oliyiyi 发表于 2015-10-19 11:05:05

13352859182

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oliyiyi 发表于 2015-10-19 12:04:57

Reading data from larger text files and databases in an optimal way
Loading data from the Web via parsing HTML, XML, JSON and interacting with APIs
Filtering, summarizing and restructuring data
Building and interpreting generalized linear models
Traditional multivariate statistical methods for dimension reduction and latent variables
Classification and clustering, including supervised and unsupervised statistical and machine learning methods
Handling outliers and missing values
Processing unstructured text data
A bit of social network analysis
Smoothing, seasonal decomposition and modeling time-series
Visualizing spatial data